Files
UA-.NETStandard/samples/Robotics/BinPickingClient/README.md
Marc Schier cef83550cb OPC UA Vision: a vision-guided bin-picking demo an LLM agent can see and drive (#4235)
# Description

Implements **OPC UA — Vision** and uses it to build the demo the
companion specifications were drafted for: an eye-in-hand camera watches
a bin of parts, a language model *looks at the frame*, decides which
part matches the instruction, and commands the robot through Robot
Intent — with the OpenUSD viewer showing the arm move and the bin empty
out.

> **Draft, and stacked.**
[#4195](https://github.com/OPCFoundation/UA-.NETStandard/pull/4195) has
merged and master is merged in, so what is left on top of `master` is
the Vision work plus the unmerged `marcschier/ai-model-management`
branch, which the demo needs for the model/dataset/deployment
provenance. Review the Vision commits; the AI Model Management work
lands with its own PR.

## What is here

**The specification, implemented.** `Opc.Ua.Vision` is generated from
the spec's own `Opc.Ua.Vision.NodeSet2.xml`, vendored byte-identically
(SHA-256 `79C592C6…`, verified against a fresh download and stored
LF-preserved like the Robot Intent NodeSet). `Opc.Ua.Vision.Server`
builds the §4.2 discovery object, sensors, the coordinate-frame tree,
calibrations, media endpoints, inference pipelines and the §9 feedback
methods, with rendering and inference behind injectable providers.
`Opc.Ua.Vision.Client` is built on the generated ObjectType proxies and
composes transforms across the frame tree, which is what turns a
detection in camera coordinates into a pose a robot can act on.

**Two perception paths behind one contract**, which is exactly what
`InferenceLocationEnum` is for. `OnServer` is a deterministic detector
derived from the stage's ground truth — no model, no network, no GPU, so
CI can exercise the whole loop. `EdgeOffServer` is the agent: it sees
the frame over MCP and calls `SubmitDetections`, and the Server
publishes results it did not compute. A client reads
`DetectionResultType` identically either way.

**The agent's eyes.** `tools/Opc.Ua.Mcp.Vision` adds 22 `vision_*`
tools, which with the four shared connection tools makes the `vision`
profile 26; `vision_get_frame` returns the camera image as an MCP
`ImageContentBlock`, so the model looks at pixels rather than reading a
description of them. Tool profiles now compose — `--profile
vision,robotics` yields 62 tools — so one agent can both see and act
without dragging in the full 136-tool catalogue.

**The cell.** `samples/Robotics/BinPickingCell` follows the spec's own
Robotics-Vision Addendum: the `world → robot_base → flange →
gripper_tcp` frame tree with `camera_eih` on the flange, the `HandEye`
extrinsics and the `Intrinsics612x512` intrinsics — the addendum's
2448×2048 calibration scaled to the 4×4-binned grid the camera actually
delivers. `samples/Robotics/BinPickingClient` hosts the composed MCP
catalogue and optionally the viewer.

**Documentation.** `docs/Vision.md` (~800 lines) covers the model,
hosting, the build context, every topology builder, both perception
paths, feedback, the MCP profile and the limitations; linked from
`docs/README.md`, with the profile table in `docs/McpServer.md` and
READMEs for both samples.

## Evidence, not assertions

Each of these was measured on a running system rather than assumed:

| Claim | Evidence |
|---|---|
| The camera sees the bin | 612×512 frame with the bin and all five
parts in view — red `(212,47,47)`, green `(61,193,71)`, blue
`(54,85,218)`, yellow `(215,196,58)`, orange `(209,119,55)` |
| An agent can act on what it sees | Over MCP, `vision_get_frame`
returns a 612×512 PNG that decodes from base64 to 1,254,051 bytes, the
descriptor beside the detections says 612×512, and all five
`BoundingBox2D` centres land **inside** the frame on the pixel colour
their own detection claims |
| The geometry is right | A detection composed `camera_eih → world`
lands on the authored position, residual **0.0000 m** — on both the
on-server and off-server paths |
| The detector tracks the world | Placing a part drops the next scan
from 5 detections to 4, with that part absent |
| The robot obeys the agent | Scripted run took command authority and
completed a pick and a place, both `Succeeded` |
| Tool catalogues are honest | Counted from a running server: vision 26,
robotics 40, `vision,robotics` 62, full 136, **zero duplicates** |
| Every node is browsable by NodeId | Eight representative NodeIds —
both folders, a pipeline, a frame, the sensor, its Calibrations folder,
the HandEye calibration, the Media folder — all `Good` |

That tool-count check matters because the profile tests collapse names
into a `HashSet` and *cannot see* a duplicate registration — so the new
tests count registrations, not names.

## Things that were wrong, and are not now

Writing the tests found three defects of one kind — code that answered
instead of refusing. A zero-norm quaternion was silently rewritten to
identity, so a caller with an all-zero orientation got a confident wrong
grasp pose. `SubmitCorrection` rewrote a null `ResultId` to empty and
called the sink anyway. A bad `StageIdentifier` **killed the host
process** inside native `UsdStage.Open`, via an exception .NET cannot
catch. All three now refuse loudly and are pinned by tests.

**Nodes that existed but could not be reached.** The node manager
indexes the Vision root before configurators run, so everything the
fluent builder grafted on afterwards — both folders, the pipelines with
their Results and Feedback, the frames, the sensors with their optics,
calibrations and media endpoints — was never added to the index.
Browsing *forward from a parent* worked, because that walks
`NodeState.Children` in memory; browsing any of those nodes *by its own
NodeId* returned `BadNodeIdUnknown`, which is how an ordinary client and
the MCP discovery tools navigate. Registration is now deferred and
flushed after each configurator. The first fix covered only the DI path
and left the documented non-DI fallback broken in exactly the same way,
so `ConfigureVisionAsync` now exists and registers what it builds.

That defect survived a green suite because every test browsed children.
The new tests assert by NodeId, and were checked against the broken code
— with the flush removed, they fail.

**Every Method was uncallable.** The Server passed 426 unit tests while
not one of its Methods could be invoked over a real session —
`RunInference` returned `Bad_TooManyArguments`, and so did every other
Method that takes arguments, which is all of them but `StartContinuous`
and `Stop`. Three independent faults, each sufficient on its own: the
Method nodes were never created (they are Optional children, and the
dispatcher guards every attachment with a null check, so it silently
attached nothing); nothing declared the arguments, so the stack
concluded none were expected; and `MethodDeclarationId` pointed at a
synthesised NodeId rather than the NodeSet declaration a client calls
with, so the lookup missed the instance Method entirely. The builder now
creates the Methods, the `Results` folder and the `Feedback` object when
a provider or sink is configured, declares every signature, and names
the right declaration.

Unit tests could not have caught this: they invoke the handler delegates
directly and never go through `MethodState.Call`. It took an end-to-end
test over a real session. Relatedly, children created by the generated
`CreateOrReplace` helpers carry no `ReferenceTypeId`, so nothing could
reach them — fixed once in the build context rather than at the several
dozen call sites.
**And one where I was wrong.** Earlier in this branch I reversed my own
agents' decision and made `SubmitDetections` accept an empty detection
set, reasoning that "I looked and the bin is empty" is a correct
observation and refusing it forces a correct agent to invent a
detection. The reasoning is sound; it is also an argument *against* the
specification rather than an implementation of it. §9.5 is normative and
explicit — its StatusCode table lists `Bad_InvalidArgument` for
"`Detections` empty; or `SubmitCorrection` supplies both or neither
corrected array".

Worse, **none of §9.5's argument rules were enforced anywhere** — the
dispatcher forwarded every submission straight to the feedback sink, so
conformance depended on whichever sink a host installed. They are Server
obligations, so they now live in the dispatcher, ahead of the sink,
proven by strict mocks that would throw if the sink were consulted. The
usability problem is real and does not go away by conforming, so it is
raised where it can be fixed:
[opcua-drafts#70](https://github.com/marcschier/opcua-drafts/issues/70).

## Tracking the updated drafts

The Vision, Robot Intent and AI Model Management NodeSets on
`opcua-drafts` `main` have moved, partly because of feedback this branch
raised. All three are re-vendored byte-identically — verified by
comparing git blob hashes against the upstream files rather than by eye
— and the implementations follow.

**Two statements that were previously inexpressible now have a wire
representation.** `SubmitDetections` takes `SceneIsEmpty` and
`SubmitCorrection` takes `RetractAll`, so an agent can report "I
examined this frame and there is nothing in it" — the terminating
condition of the bin-picking task — and can retract a false positive by
correcting a result down to nothing. Both are checked in both
directions, because the flag is exactly what separates a deliberate
empty observation from a lost payload: an empty array without the flag
is refused, and the flag with an array attached is refused as two
contradictory claims about one frame. Implemented in the dispatcher, the
client, the MCP tools the agent drives, and the sample cell.

Also absorbed: `LampType` and `LightingMode` became enums (§66),
`ProfileName` became `DefaultProfileName` on the endpoint (distinct from
the `ProfileName` a caller passes to `GetStreamEndpoint`, which keeps
its name), AI `Invoke`/`InvokeAsync` gained `PayloadUri` under the same
exactly-one rule, and AI `ListModels` gained a `ContinuationPoint` —
because `MaxResults` alone puts everything past the bound permanently
out of reach.

**OpenUSD is on `0.9.0-alpha`**, verified on the running cell rather
than by restore alone: D3D12 backend, 612×512 frame, the bin and all
five parts in view and detected — the same result `0.8.0-alpha`
produced.

The one local workaround that survives is `VisionMethodArguments`, and
its reason has changed rather than gone away: the builder materialises
these Methods as Optional children through `CreateOrReplace`, which
constructs the state object directly and never runs the generated
factory that now carries the signatures. Checked rather than assumed —
removing the declarations fails five of the eight
`VisionMethodSurfaceTests`.

## Review feedback

Three threads, all addressed in `0fe2803a3`:

- **The AI Model Management work is now a library family, not a
sample.** `src/Opc.Ua.AI` (model), `.Inference` (`IInferenceBackend` and
backends), `.Server` (node manager) and `.Client` (discovery, reads,
calls, artefact transfer), in the same shape as the Robotics and Vision
families; the samples become `samples/AI/ModelManagementServer` and
`ModelManagementClient`. The client library needed real work rather than
relocation: its browsing surface was `private` inside the sample's
scenario runner, so moving the file alone would have produced a library
nobody could call.
- **No cloud-vendor SDK is referenced anywhere.** Inference goes through
`Microsoft.Extensions.AI` — an `IChatClient` is implemented by hosted
services and on-device runtimes alike, which is exactly the property
clause 8.1 asserts. `Azure.Identity` is gone: workload identity is not
an Azure feature, every platform projects a token into a file and each
SDK reads that file behind its own API, so the resolver reads it
directly. The comment claiming `Microsoft.Extensions.AI` would force a
`System.Text.Json` bump was stale — it pins 10.0.10, which this
repository already centralises on.
- **`BinPickingCell` and `BinPickingClient` moved into
`samples/Robotics/`**, which is where they belonged: the cell was
already linking the arm, its kinematics and both USD assets out of
`IntentEnabledRobot`.

## Upstream

Work that belonged elsewhere went elsewhere rather than being worked
around locally:

- **`openusd-dotnet`
[#13](https://github.com/marcschier/openusd-dotnet/pull/13)** — merged
and shipped in `0.8.0-alpha`. `SilkFrameCapture.Capture` rendered only
the first capture of a session and silently returned a blank frame for
every one after it. Also filed
[#14](https://github.com/marcschier/openusd-dotnet/issues/14) (no
camera-by-prim API) and
[#15](https://github.com/marcschier/openusd-dotnet/issues/15) (skipped
tests reported as passed — which fooled me for several runs). Both are
fixed; this branch takes `0.8.0-alpha` and deletes two workarounds,
including 143 lines of hand-rolled projection maths.
- **`opcua-drafts`
[#66](https://github.com/marcschier/opcua-drafts/issues/66)–[#69](https://github.com/marcschier/opcua-drafts/issues/69)**
— a close read of the spec produced 22 candidate ambiguities; 12 were
discarded as misreadings with clause citations and the remaining 10
filed. One is concrete: five members exist in the NodeId CSV that no
clause documents.
- **`opcua-drafts`
[#70](https://github.com/marcschier/opcua-drafts/issues/70)** — §9.5
could not express an empty observation or a false-positive retraction.
**Adopted**, with the explicit-flag resolution argued for:
`SubmitDetections` gained `SceneIsEmpty`, `SubmitCorrection` gained
`RetractAll`, and the corrected-array rule relaxed from *exactly one* to
*at most one*.
- **`opcua-drafts`
[#71](https://github.com/marcschier/opcua-drafts/issues/71)** — the
Vision NodeSet browse-named all 13 `InputArguments` / `OutputArguments`
Properties in the Vision namespace rather than the base namespace, so a
stack could not find them and every Method in the specification was
uncallable. **Fixed**; this branch now tracks the corrected artefact.

## The defect underneath it all

The end-to-end suite was removed earlier in this branch because nine of
its
fourteen tests failed on one symptom: a client could not open a
pipeline's
`Feedback` object or enumerate its `Results`, even though browsing the
same
parent listed both. Restoring it meant explaining that, and the
explanation
was not in Vision.

`RelativePathElement` initialised **`IsInverse` to `true`**. A caller
that
sets a `ReferenceTypeId` and a `TargetName` — which reads as *"the child
reached by this Reference"* — was therefore asking the Server for the
**inverse** Reference, and got `Bad_NoMatch` with nothing in the request
to
suggest why.

`ObjectTypeClient.ResolveChildNodeIdAsync` is such a caller, and it is
what
**every source-generated Optional-child accessor in the stack** is built
on
— the accessor whose own documentation cites
`AlarmConditionTypeClient.GetShelvingStateAsync`
as an example. Vision is merely where it surfaced, because Vision puts
two
Optional children on the path an off-Server agent must take. The sibling
helper in `StateMachineTypeClientExtensions` already set `IsInverse =
false`
by hand, which is the shape of a trap rather than a default.

The default is now forward, `ResolveChildNodeIdAsync` says so
explicitly,
and the existing test that had recorded `true` as *expected* now pins
`false` with the reasoning. Of the forty `RelativePathElement`
construction
sites in the tree, that accessor was **the only one relying on the
default at
all** — every deliberate caller already set it.

Two further defects were found underneath it, both real and both fixed:

- The generated `CreateOrReplace` helpers construct a child state object
directly and leave **`TypeDefinitionId`** unset as well as
`ReferenceTypeId`.
A child referenced by nothing cannot be browsed; one with no type
definition
is a malformed Object that a client filtering by type silently skips —
which
  is exactly what `EnumerateResultsAsync` does. Normalisation moved to
`VisionNodeManager`, so it also covers the case the builder cannot see:
a
result published **at runtime** by an inference provider, long after the
address space was built. That path produced results a client could list
but
  not read.
- `Opc.Ua.AI` shipped without an `AssemblyInfo`, so the solution built
with
  six `CA1014` warnings.

I had initially "fixed" this in the Vision client with Browse-based
fallbacks,
on the strength of a probe that appeared to show
`TranslateBrowsePathsToNodeIds`
failing even for `Server → ServerStatus`. That probe was wrong: it used
an
unqualified `ReferenceTypeIds`, which inside a `Opc.Ua.Vision.*`
namespace
binds to *Vision's* `ReferenceTypeIds` and yields a nonsense NodeId.
Chasing
that to the end is what turned up the real cause. **The fallbacks are
gone** —
they would have hidden a stack-wide bug behind a Vision-shaped
workaround, and
one of them matched on browse name while ignoring the namespace index.

`tests/Opc.Ua.Vision.Intent.Tests` is restored and back in `UA.slnx`,
passing
**14/14** on its own merit rather than through a client-side workaround.
A
registration test now pins the pipeline's `Feedback` and `Results`
children,
which nothing covered before.

## Running it, and what that found

The demo's premise is that a language model **looks at the bin and
reasons
about what it sees**. Running it end to end showed it could not, for
reasons
no test covered, because every one of them lived between components.

**The sample did not compile.** Two `CS8604` nullable errors with
`TreatWarningsAsErrors`, so neither the cell server nor the demo could
be
started at all. Worth recording that my first explanation was wrong: CI
*does*
build this project - the Linux leg's `net10.0` pass compiles it,
log-confirmed -
so this is not a coverage gap in the workflow, and no workflow change
was made.

**`Pick` and `Place` never moved the arm.** They were a delay plus a
gripper
action, so the operations reported `Succeeded` while nothing travelled.
They now
solve IK once and interpolate in joint space. **And the parts never
moved**: the
arm swung but the bin stayed full, because nothing tied the held object
to the
world state. The connector now creates 11 monitored items where it
created 6,
and a scripted run delivers `SeqNo=151` across 10 messages where it
delivered
`SeqNo=3` across 1.

**The frame was smuggled through a string field.** The media provider
put a
base64 *data URI* of the PNG into `VisionImageReferenceDataType.Uri` - a
field
meant to be a *reference*, while the bytes were already returned in the
inline
`ByteString`. Every response therefore shipped the image twice, and a
1,311,400-byte PNG became a 1,748,536-character string against a
`MaxStringLength` of 65,535: **26.7x over**. That is why raising
`MaxByteStringLength`, `MaxArrayLength` and `MaxMessageSize` never
helped - none
of them govern a `String`. Separately the MCP tool assigned raw bytes
where
`ImageContentBlock` requires base64, so the wire carried
`"data":"�PNG..."` -
every non-UTF-8 byte replaced by U+FFFD, destroying the image and
inflating the
response to 6.8 MB.

**The camera was aimed at nothing.** The arm's home pose, the flange
scan pose
the Vision model declared and the joint angles in the USD stage were
three
independent claims about where the camera was, and they disagreed - the
declared
flange orientation pointed the view 86 degrees away from the projection
camera.
Solving them as one thing exposed two further constraints that are easy
to miss:
the camera has to sit off the tool axis or it photographs its own
gripper, and
the IK branch has to be elbow-back or a link parks under the camera and
fills the
frame with the arm's own upper arm. A third was a regression this branch
introduced and `Opc.Ua.Robotics.Tests` caught - aiming a straight-down
camera
from a point on the base's own X-Z plane puts the wrist on the J4/J6
singularity, so every motion away from home fails to solve. A 15-degree
camera
roll, free because the camera still looks straight down, gets 25 degrees
clear,
which is the margin the poses before this branch had.

**The frame and the detections were different images.** The sensor
declared
2448x2048, the clip endpoint 1280x1024, and the renderer produced
640x512 - not
even the same aspect ratio. The ground-truth detector projects through
the
declared intrinsics, so its boxes lived in 2448x2048 space while an
agent was
handed a 640x512 picture: *"pick the red cube you can see"* arrived with
coordinates that pointed off the image. Everything now agrees at
612x512, an
exact 4x4 bin of the native sensor with the intrinsics scaled to match;
the
native size stays in the model and serial number, where it describes the
hardware rather than the image.

**`LatestClip` was created and never written**, so it reported
`Bad_NoDataAvailable` for the life of the Server and a consumer
following the
model - read the published frame, call the method only if there is none
- never
got a frame. The dispatcher now publishes a clip it has just encoded,
for every
Vision server rather than this sample alone.

One genuine API gap turned up on the way: `OpcUaServerOptions` exposes
`MaxByteStringLength`, `MaxArrayLength` and `MaxMessageSize` and **no
`MaxStringLength`**, so a Server that legitimately needs a long string
could not
raise the limit through the hosting API at all. Added, with tests. It is
not the
fix for anything above - that was a design bug - but the missing knob
was real.

## Not finished

- **Two projects sit below the repository's 80% line coverage.**
`Opc.Ua.Vision.OpenUsd` is at 71.1% — what is left only executes with a
real OpenUSD stage and plugin tree, which is not on every build agent.
`Opc.Ua.AI.Inference` is now at **86.7%**, up from 12.9%: the code this
branch *wrote* is covered by 25 tests, and `RestChatCompletionsBackend`
— previously the whole of the shortfall — is covered by 18 more against
a stubbed `HttpMessageHandler`, exercising success, refusal, throttling,
retry-after, timeout and cancellation without a network. Everything else
clears the bar — `Opc.Ua.Vision.Server` 92.1%, `Opc.Ua.AI` 91.4%,
`.Vision.Client` 88.1%, `Opc.Ua.Vision` 85.7%, `Opc.Ua.AI.Server` 80.1%,
all measured with coverlet. The CI coverage gate reports itself as
advisory and non-blocking.
- **`SamplesCollected` is not counted here, and `docs/Vision.md` now
says so.** Section 9.4 requires a Server to count a negative example
(`SceneIsEmpty` / `RetractAll` carrying a `GroundTruthLabel`) exactly as
it counts one carrying geometry. `VisionNodeManager` does not, and
structurally cannot: `SamplesCollected` is a property of
`LearningJobType`, which the *AI Model Management* companion defines,
and Vision reaches the job through a `NodeId` value rather than a
Reference **precisely so this model takes no dependency on the model
that defines it**. What the Server does guarantee is that the negative
example survives the hop intact — both flags are carried verbatim to
`IVisionFeedbackSink` — so a host that binds a learning job has
everything it needs to satisfy the clause on the counter it owns. Stated
in the limitations rather than left implied.

## Related Issues

Was stacked on #4195, now merged. No tracking issue yet for the Vision
implementation itself — happy to open one if you would like the design
recorded as an ADR before this goes further.

## Checklist

- [x] I have signed the
[CLA](https://opcfoundation.org/license/cla/ContributorLicenseAgreementv1.0.pdf)
and read the
[CONTRIBUTING](https://github.com/OPCFoundation/UA-.NETStandard/blob/master/CONTRIBUTING.md)
doc.
- [x] I have added tests that prove my fix is effective or that my
feature works and increased code coverage. — *Types 8562, Server 4072,
Client 2123, InformationModel 1063, Robotics 540, Tools 466, Vision 442,
AI 74 and the restored Vision+Intent end-to-end suite 14/14, all green
on net10.0. Only `.OpenUsd` (71.1%) is below the 80% bar — see Not
finished.*
- [x] I have added all necessary documentation.
- [x] I have verified that my changes do not introduce (new) build or
analyzer warnings. — *`dotnet build UA.slnx -c Release`: 0 errors, 0
warnings.*
- [x] I ran **all** tests locally using the **UA.slnx** solution against
at least .net **framework** and .net **10**, and all passed. — *net48:
Types 8555, Client 2126, Vision 385 green. Two net48 Server tests fail
(`CreateUserManagementSeamBindsTheModelToTheServerAsync`, and
`DurableDataValueQueueVerifyReferenceBatchingAsync` only under parallel
load); both were confirmed **pre-existing** by re-running them with the
`IsInverse` change reverted, which fails identically.*
- [ ] I fixed **all** failing and flaky tests in the CI pipelines and
**all** CodeQL warnings. — *The net48 build legs failed because the
restored end-to-end project used `ValueTask.FromResult` /
`string.Create`, which do not exist on .NET Framework; fixed in
`fb57522da` and verified building on every TFM.
`DisposeDrainsHeldConnectionCallbackBeforeListenerDisposal` failed once
on the Ubuntu Client leg — a 13 ms timing-sensitive reverse-connect
disposal test that passes locally 2123/2123 and touches no browse
paths.*
- [ ] I have addressed **all** PR feedback received.
## Typed Vision-guided Robotics MCP workflows

The branch now also makes the demo workflow first-class in the Full MCP
profile:

- replaces stringified Robotics intent and mission inputs with typed
request schemas and exact name-or-NodeId selectors;
- adds bounded operation/mission paging, stable step-to-operation
identity, retained mission discovery, and `robotics_wait_mission`;
- makes `vision_run_inference` return bounded typed detection,
inspection, or segmentation summaries in one call;
- adds same-session `robotics_vision_pick` to select a detection and
submit Pick or Pick/Place work without implicitly taking authority,
retrying, cancelling, or waiting; and
- starts Publish workers for classic subscriptions so an independently
launched OpenUSD viewer receives live robot and part updates.

The migration guide documents the intentionally breaking MCP
request-schema changes.

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Copilot-Session: 1dab1302-19c5-4a9b-a50c-d97d389713aa
Copilot-Session: a248a589-9a20-4372-868e-5d347e57001b
Copilot-Session: 99d1ab42-f83a-41ab-bf3e-85bf81fadace
Copilot-Session: bcbc8ac9-5abd-42a8-8bac-e10533790e2e
2026-08-29 19:34:15 +02:00

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Bin Picking Client

This sample closes the perception-to-action loop against the BinPickingCell server: it connects, discovers the Robot Intent controller and its lookup tables (Bin, Fixture, ParallelGripper), requests command authority, and — with --mcp — hosts the composed Vision + Robotics MCP catalogue so a language model can drive the cell while a human watches. With --view, it can also open the in-process OpenUSD viewport so the same session is observable in 3-D while the agent runs.

The MCP catalogue exposed to the agent contains 64 tools measured from the running host: 26 Vision tools + 42 Robotics tools − 4 shared connection tools. This includes vision_get_frame, which returns the eye-in-hand camera image as an MCP ImageContentBlock so the model genuinely sees pixels; the one-call robotics_vision_pick; typed intent/mission tools; and the state, authority, paging and bounded-wait tools needed to plan against refusals.

MCP hosting

With --mcp, the client exposes the composed catalogue so an LLM can discover controllers, read state, request authority, capture frames from the eye-in-hand camera, submit Pick and Place intents, wait on operations, pause / resume / cancel / retry, and re-inspect the world — all through the same SampleSession the sample opened. The Vision and Robotics tools share the connection, so an agent that captures a frame and submits a Pick is observing and commanding the same cell.

MCP hosting is compiled for net8.0, net9.0, and net10.0. It is unavailable on net48; running that leg with --mcp reports the limitation on stderr. Without --mcp, the sample continues to run on every framework it builds for.

MCP options:

  • --mcp enables MCP hosting.
  • --transport stdio|http|sse selects the MCP transport. sse is accepted as an alias for http.
  • --port <number> selects the Streamable HTTP port. The default is 5170, chosen so it does not collide with IntentViewerClient's default of 5100.

Transport selection is announced on stderr:

  • No --transport and no --view: stdio is selected by default.
  • No --transport with --view: HTTP is selected automatically and the client explains that MCP stdio uses stdout for protocol frames, which cannot safely coexist with the in-process OpenUSD viewer.
  • --transport http with or without --view: HTTP is used.
  • --transport stdio without --view: stdio is used.
  • --transport stdio --view: the explicit request is honored, but the client warns plainly that the viewer may share stdout and corrupt the MCP stdio protocol.

Example MCP client configuration for viewport mode:

{
  "servers": {
    "bin-picking": {
      "url": "http://localhost:5170/mcp"
    }
  }
}

Run the sample with HTTP MCP and the viewport:

dotnet run --project samples\Robotics\BinPickingClient\BinPickingClient.csproj --framework net10.0 -- --server opc.tcp://localhost:62855/BinPickingCell --insecure --view --mcp --transport http --port 5170

For stdio MCP, point the MCP client at the command instead:

{
  "servers": {
    "bin-picking": {
      "command": "dotnet",
      "args": [
        "run",
        "--project",
        "samples\\Robotics\\BinPickingClient\\BinPickingClient.csproj",
        "--",
        "--server",
        "opc.tcp://localhost:62855/BinPickingCell",
        "--insecure",
        "--mcp"
      ]
    }
  }
}

Agents can submit only what the server advertises and accepts. Refusals are returned to the agent as tool results and are never retried on the agent's behalf; the agent must decide whether to re-plan, ask for operator action, or stop.

Scripted demonstration mode

Use --demo to run the whole loop without an agent attached. This is what makes the sample runnable in CI and by someone without an MCP client, and it is how the loop is proven:

dotnet run --project samples\Robotics\BinPickingCell\BinPickingCell.csproj -- --insecure
dotnet run --project samples\Robotics\BinPickingClient\BinPickingClient.csproj --framework net10.0 -- --server opc.tcp://localhost:62855/BinPickingCell --insecure --demo

The demo runner:

  1. Discovers the sole Robot Intent controller advertised by the cell and prints its browse name and NodeId.
  2. Requests command authority for this session.
  3. Attempts to reach the sole Vision inference pipeline advertised by the cell, captures a frame's worth of detections, composes the target part's pose from the camera_eih frame into the world frame using the Vision frame graph, and logs the composed pose.
  4. Resolves the source location (--source, default Bin), destination location (--destination, default Fixture) and tool (--tool, default ParallelGripper) against the controller's Locations and Tools lookup tables.
  5. Builds and submits a Pick intent for the chosen part with a unique IntentId, waits for the returned operation to reach a terminal state, and logs the result.
  6. Builds and submits a Place intent for the same part with a unique IntentId, waits for the returned operation to reach a terminal state, and logs the result.
  7. Re-runs inference and compares detections before and after: if the target part disappears or its pose changed, the world state was observed to change as expected; otherwise the runner reports the mismatch plainly.

Use --part <ClassLabel> to pick a different part (RedCube, GreenCylinder, BlueSphere, YellowSlab, OrangeBrick) and --source / --destination / --tool to retarget without a rebuild.

Transcript from an actual run against the current cell:

Controller: BinPickingController (ns=3;s=7001_Controllers_BinPickingController)
Command authority: granted for this session.
Pick admitted: intent binpickclient-20260810191928321-pick operation ns=3;s=7001_Controllers_BinPickingController_Intents_binpickclient-20260810191928321-pick-...
Pick operation terminal state: Succeeded failure=None
Place admitted: intent binpickclient-20260810191928321-place operation ns=3;s=7001_Controllers_BinPickingController_Intents_binpickclient-20260810191928321-place-...
Place operation terminal state: Succeeded failure=None

Notes on Vision inference in the current cell

The client resolves the cell's Vision nodes by browse path from the Vision root, so a Server that materialises Vision as instances in its own namespace — which is what the fluent builder produces, and what this cell is — is discovered correctly. --demo verifies the world change through the client-side detection loop: it captures the detections before the Pick, submits Pick and Place, re-runs inference, and reports whether the target part is still where it was.

The check is honest in both directions. If the part was never detected before the Pick, the run is reported as inconclusive rather than as a pass, because "it is gone now" proves nothing about a part that was never there.

Viewport mode

The viewer is deliberately optional: BinPickingClient does not reference it, and loads Opc.Ua.OpenUsd.Connector.Viewer.dll by reflection from its own output directory. Nothing puts it there for you, so --view on a fresh clone degrades to headless with a message on stderr. Publish the viewer once and copy its output beside the client:

dotnet publish tools\Opc.Ua.OpenUsd.Connector.Viewer\Opc.Ua.OpenUsd.Connector.Viewer.csproj `
    -c Release -f net10.0 -r win-x64 --self-contained false -o $env:TEMP\viewer-publish

Copy-Item "$env:TEMP\viewer-publish\*" `
    samples\Robotics\BinPickingClient\bin\Release\net10.0 `
    -Recurse -Force -Exclude "*.deps.json","*.runtimeconfig.json"

Publish rather than copying the viewer's bin directory: the viewport pulls in the Avalonia UI stack and the per-RID native OpenUSD renderer on top of its own assembly, and only a publish resolves that whole closure. Excluding the two JSON files matters as well - they describe the viewer as an application, and letting them overwrite the client's own leaves the client unable to start.

Then run, from the client's output directory so the native payload resolves:

samples\Robotics\BinPickingClient\bin\Release\net10.0\BinPickingClient.exe `
    --server opc.tcp://localhost:62855/BinPickingCell --insecure --view

Add --demo to run the scripted pick-and-place while the viewport is open, which is the quickest way to watch the loop close in 3-D. The two are sequenced deliberately: the viewport opens first, the client waits for the live OpenUSD stream to be subscribed, and only then commands the robot, so the motion happens with something watching. The window stays open when the loop finishes so the cell can still be inspected.

Both the arm and the parts move. The six joints follow AxisState.Position, and each part follows its own world position variable under Server/WorldState, so a part that is picked travels with the gripper and stays where it is placed.

Where a released part ends up

A placed part comes to rest on whatever is underneath it — the bench, the fixture plate, a locating peg, or another part. It is a resting model rather than a physics engine: no toppling, no friction, no sliding, because none of those change the answer a pick-and-place cell needs, which is that a part released over a bench ends up on the bench and a part released over another part ends up on top of it rather than inside it.

Two consequences worth knowing:

  • Stacking is automatic. Place a second part at the same location and its base lands exactly on the first one's top. Three parts placed on the fixture measure bases 0.8380 / 0.8780 / 0.9080 against tops 0.8780 / 0.9080 / 0.9320 — no gaps, no intersections.
  • A Place descends before it releases. The cell knows it is carrying something, because a Pick travels with the gripper empty and closes on arrival while a Place travels loaded and opens, so it moves to the height that leaves the part on its support. Releasing is a release, not a drop from the approach height.

The arm will also refuse to reach through its own bench. Several inverse-kinematic solutions for a target near the surface pass a link through it, and the solver now takes the nearest one that does not, reporting WorkSurface when every solution would.

Which camera the viewport opens on

The viewport opens on /World/ObserverCamera, a fixed camera authored in the stage that frames the whole cell from the front and slightly above: the bench centred, the fixture on the left, the bin on the right, and enough room for the arm to reach up without leaving the frame. It is a fixed observer, so the arm moves within a steady view rather than the view chasing the arm.

  • --camera auto hands framing back to the viewer, which fits the scene bounds.
  • --camera <primPath> opens on any other camera in the stage.

The stage has a second camera, /World/Robot/Palletizer/.../Flange/Camera, which is the eye-in-hand sensor the Vision model renders from. Opening the viewport on it shows what the tool sees rather than the cell, which is occasionally useful for debugging the perception path but is not a view of the robot working.

The observer camera's numbers were fitted to a reference framing and then corrected against what the viewer actually rendered, because the analytic placement and the rendered result disagreed. Treat them as measured rather than derived: change one and re-check the framing against a capture.

Diagnosing the live stream

Pass --verbose to raise the log level to Debug. The OpenUSD connector then reports what it bound at start-up:

OpenUSD live stream bound 12 binding(s) across 10 representation(s) and is
monitoring 12 item(s).

and one line per live update, plus a warning for any target it had to leave unresolved. That last one matters: the §5.8 profiles fail closed, so a source value in a shape a profile does not accept produces a prim that silently never moves while every subscription counter says the data is flowing. It is worth knowing which of the two you are looking at.

Viewer-only sessions receive external motion

A client started with --view alone can observe motion commanded by a different OPC UA session. The OpenUSD connector creates a classic Subscription; ManagedSession uses the V2 subscription engine by default. The V2 publish manager therefore includes created classic session subscriptions when sizing its Publish-worker pool, even when it owns no V2 subscriptions of its own. This is the normal observer shape: two Publish workers stay active and dispatch the classic subscription's notifications to the live USD sink.

The viewer host also runs its long-lived StageReadyAsync callback outside Avalonia's UI synchronization context, per openusd-dotnet#17. These are separate requirements: the callback must remain runnable, and the OPC UA session must issue Publish requests for every subscription API it supports. Pass --verbose to verify both PUBLISH Worker #... - STARTED and OpenUSD live update: ... messages while another client drives the cell.

The client fetches the cell's served OpenUSD assets automatically whenever the viewport opens, into a per-user cache directory. Pass --fetch-assets <dir> only when you want the fetched stage written somewhere you choose, for example to inspect stage.usda by hand.

Where the viewer assembly or renderer payload is missing, the client says so plainly on stderr and continues without opening the viewport. The renderer payload supports win-x64, linux-x64 and osx-arm64; substitute the matching -r value above.

Agent workflow for vision-guided bin picking

Use --mcp --view when an LLM agent should drive the same cell a human watches. The perception-to-grasp loop is deliberately short: observe the cell, request authority explicitly, then let robotics_vision_pick run inference, select one detection and submit the Pick/Place mission on the same OPC UA session.

sequenceDiagram
    participant Agent as LLM agent
    participant Robotics as Robotics tools
    participant Cell as BinPickingCell server

    Agent->>Robotics: robotics_list_controllers
    Robotics->>Cell: browse Server/RobotIntent/Controllers
    Cell-->>Agent: BinPickingController
    Agent->>Robotics: robotics_request_control
    Robotics->>Cell: RequestControl
    Cell-->>Agent: granted
    Agent->>Robotics: robotics_vision_pick
    Robotics->>Cell: RunInference
    Cell-->>Robotics: DetectionResult + provenance
    Robotics->>Cell: SubmitMission(Pick, Place)
    Cell-->>Agent: selected detection + Mission handle
    Agent->>Robotics: robotics_wait_mission
    Robotics->>Cell: observe Mission ExecutionState
    Cell-->>Agent: terminal Mission result

The agent's tool sequence to pick and place one part:

agent -> robotics_list_controllers()
server -> [{ name: "BinPickingController", nodeId: "ns=3;s=7001_Controllers_BinPickingController" }]

agent -> robotics_read_controller(controller="BinPickingController")
server -> SupportedIntents includes Pick and Place; locations include Bin,
          Fixture and per-part staging; tools include ParallelGripper.

agent -> robotics_read_state(controller="BinPickingController")
server -> Ready=true, OperationalMode=AutomaticExternal, ControlOwner=<other session>

agent -> robotics_request_control(controller="BinPickingController")
server -> { granted: true }

agent -> robotics_vision_pick(request={
    controller: "BinPickingController",
    pipeline: "BinPickingPipeline",
    source: "Bin",
    tool: "ParallelGripper",
    destination: "Fixture",
    classLabel: "RedCube",
    minimumConfidence: 0.9,
    missionId: "place-red-cube"
})
server -> {
    provenance: { resultId: "run-...", selectedDetection: { classLabel: "RedCube", ... } },
    missionSubmission: { accepted: true, missionId: "place-red-cube", operation: "ns=..."}
}

agent -> robotics_wait_mission(
    controller="BinPickingController",
    missionId="place-red-cube",
    missionNodeId="ns=...",
    timeoutMs=30000)
server -> { completed: true, terminalState: "Succeeded", ... }

If safety refuses the intent, the agent must observe the failure, re-read state, and either re-plan (for example, retry with a different tool or target location), ask for operator action, or stop.

The lower-level vision_run_inference, vision_read_detection_result, robotics_submit_pick and robotics_submit_place tools remain available when an agent needs to inspect or control each stage separately.

--insecure is for localhost demos only. It accepts any server certificate for localhost demos; do not use it for production systems.