# 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
17 KiB
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:
--mcpenables MCP hosting.--transport stdio|http|sseselects the MCP transport.sseis accepted as an alias forhttp.--port <number>selects the Streamable HTTP port. The default is5170, chosen so it does not collide withIntentViewerClient's default of5100.
Transport selection is announced on stderr:
- No
--transportand no--view: stdio is selected by default. - No
--transportwith--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 httpwith or without--view: HTTP is used.--transport stdiowithout--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:
- Discovers the sole Robot Intent controller advertised by the cell and prints its browse name and NodeId.
- Requests command authority for this session.
- 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_eihframe into theworldframe using the Vision frame graph, and logs the composed pose. - Resolves the source location (
--source, defaultBin), destination location (--destination, defaultFixture) and tool (--tool, defaultParallelGripper) against the controller'sLocationsandToolslookup tables. - Builds and submits a
Pickintent for the chosen part with a uniqueIntentId, waits for the returned operation to reach a terminal state, and logs the result. - Builds and submits a
Placeintent for the same part with a uniqueIntentId, waits for the returned operation to reach a terminal state, and logs the result. - 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 autohands 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.