Note: This project is in early development. The API may change between releases, so pin a version before depending on it.

Inspect Robots has two swappable inputs: a Policy (the VLA brain) and an Embodiment (the robot body + world). This package provides both for the YAM + MolmoAct2 stack, so any embodiment-agnostic Inspect Robots task (e.g. all of KitchenBench) runs on real arms:

• molmoact2 policy: a thin client for MolmoAct2's first-party bimanual-YAM /act server (the model owns the GPU + weights in its own process).
• yam_arms embodiment: the I2RT driver with joint-position control by default and an opt-in Cartesian end-effector interface, plus a hard safety clamp, operator-in-the-loop success, and self-paced control.

Both declare the same 14-D joint-position contract (2 arms × [6 joints + gripper], cameras top/left/right, packed joint_pos state), so Inspect Robots's compatibility check passes with zero errors and zero warnings. This is verifiable before any motion.

inspect-robots run --task kitchenbench/pour_pasta --policy molmoact2 --embodiment yam_arms

Note: cameras are configured with one plain source per slot (*_cam_device or *_depth_serial), so the whole rig is drivable from config.ini or -E key=value flags with no custom code. A Python camera_reader remains available for exotic camera stacks. With no sources configured, yam_arms fails fast with a ConfigError at reset(), before any driver connect or motion.

The builtin reader drains each camera continuously on its own thread, so an observation carries a frame about one camera frame interval old: 33 ms at 30 fps. Without that, a V4L2 queue read at control_hz hands back a frame N/control_hz old, measured at 380 ms on a 10 Hz rig and worse as the control rate falls. Two limits worth knowing: freshness is bounded by the camera's own frame rate, which no setting here changes (a 5 fps camera means 200 ms whatever the control rate), and a camera that stops delivering for half a second raises rather than serving a stale frame. A custom camera_reader that owns devices should expose a close(), which the embodiment calls during teardown.

Install (on the robot/GPU machine)

uv venv && source .venv/bin/activate
uv pip install inspect-robots-yam
# The i2rt driver is git-only and not on PyPI. Install it directly.
# The build-constraints file works around a build failure in i2rt's ruckig
# dependency (source-only releases that no longer build under scikit-build-core
# 1.0; the pin below 0.10 matches i2rt's own in-repo workaround):
echo 'scikit-build-core<0.10' > build-constraints.txt
uv pip install --build-constraints build-constraints.txt "i2rt @ git+https://github.com/i2rt-robotics/i2rt@db582eaa70b6a057a1e2981da6219dfa6c29422a"

The base package includes the /act transport and builtin OpenCV camera reader. Only i2rt, the I2RT YAM arm driver required for real hardware, needs the separate git install. The scikit-build-core build constraint can be dropped once ruckig ships a release with the fix from pantor/ruckig#261 and i2rt moves off ruckig==0.15.3. The camera reader depends on opencv-python-headless; if your environment also carries opencv-python, the two share the cv2 module and the last one installed wins.

Then download the model weights (needs a Hugging Face token) and start the server, from the MolmoAct2 repo:

huggingface-cli download allenai/MolmoAct2-BimanualYAM
python examples/yam/host_server_yam.py          # serves /act on :8202

Serving a GR00T fine-tune

Run the shim from an Isaac-GR00T environment with a CUDA, PyTorch, and flash-attn stack that supports the GPU. Blackwell GPUs (sm_120) require a matching PyTorch build. Download the YAM fine-tune and start its /act server on the default port 8203:

hf download robocurve/gr00t-n1.7-yam-molmoact2
python scripts/serve_gr00t_act.py \
    --model robocurve/gr00t-n1.7-yam-molmoact2

Then run it through the distinct gr00t policy entry point so eval logs carry the correct model family:

inspect-robots "stack the red block on the blue block" \
    --policy gr00t --embodiment yam_arms

The client defaults to http://127.0.0.1:8203. Override a remote or alternate server with -P server_url=http://gpu:8203. The config key is server_url; url is a read-only property, and ActServerConfig.from_kwargs rejects it. For another GR00T fine-tune, pass -P action_horizon=<its chunk length> so the recorded policy metadata matches that checkpoint.

Warning: The shim's startup checks validate the packed layout and units ranges, but joint polarity and absolute-vs-delta semantics cannot be detected from dataset statistics. For the first runs with a new checkpoint family, run inspect-robots-yam-preflight, leave guardrails on, and keep an operator at the e-stop.

Preflight: prove compatibility before any motion

Check dims, semantics, cameras, and state keys:

inspect-robots-yam-preflight

Also check a specific task's scenes are realizable:

inspect-robots-yam-preflight --task kitchenbench/pour_pasta

Affirm that no motion will occur:

inspect-robots-yam-preflight --dry-run

A green preflight means action dim (14), control mode (joint_pos), cameras, and state keys all line up. It does not prove the joint values are interpreted the same way. See Safety below.

Health check: verify the idle rig

Check that all three cameras deliver fresh, non-uniform frames and that both arms report finite joint positions within the configured limits:

# Uses the devices and CAN channels saved by `inspect-robots setup`.
inspect-robots-yam-health

# Or override the configured camera slots explicitly.
inspect-robots-yam-health \
  --top-cam /dev/v4l/by-id/...-top \
  --left-cam /dev/v4l/by-id/...-left \
  --right-cam /dev/v4l/by-id/...-right

The command writes a labeled montage to health.jpg. Use --out PATH to change the destination, --json for a machine-readable report, or --skip-cameras and --skip-motors to run one section. Camera devices can also be supplied with -E top_cam_device=..., -E left_cam_device=..., and -E right_cam_device=.... Explicit flags and -E values override the wizard config one camera slot at a time. Use --no-config to bypass the wizard file entirely, including when it is malformed, and recover the previous flag-only behavior.

Note: The health tool can check and watch only V4L2 *_cam_device sources. It reports configured *_depth_serial slots as unchecked; they do not pass or fail camera health. On an all-depth rig, camera checks are skipped while motors are still checked, and --watch errors because there are no streams this tool can serve. On a mixed rig, the montage and watch page contain only the V4L2 slots.

Warning: Run the health check only while the rig is idle, with both arms at rest or supported and an e-stop in hand. Connecting and then closing the motor driver drops motor torque. Do not use the mid-workspace holdcheck setup, and do not run this command concurrently with an eval.

Live view: aim the cameras

Stream the configured V4L2 cameras while positioning them:

inspect-robots-yam-health --watch

# Flags remain available when no wizard config should be used.
inspect-robots-yam-health --watch --no-config \
  --top-cam /dev/v4l/by-id/...-top \
  --left-cam /dev/v4l/by-id/...-left \
  --right-cam /dev/v4l/by-id/...-right

Open http://<host>:8807/ and press Ctrl-C to stop. Watch never touches the motors, so the torque warning above does not apply.

The stream is unauthenticated, and the default 0.0.0.0 bind listens on all interfaces. Use --bind <tailscale-ip> to limit it to the rig's tailnet address.

Run on hardware

Write your defaults once. The interactive wizard interviews this plugin's declared devices (three cameras and both arms' CAN channels) with live probes, including unplug-to-identify:

inspect-robots setup

Or write the file yourself. This example uses the primary mixed RealSense rig: the D435 top camera stays on V4L2 while librealsense owns both D405 wrists. Use stable /dev/v4l/by-id/... or udev-symlink paths for V4L2 sources; bare /dev/videoN numbers reshuffle on every replug.

mkdir -p ~/.config/inspect-robots && cat > ~/.config/inspect-robots/config.ini <<'EOF'
[defaults]
policy = molmoact2
embodiment = yam_arms
scorer = operator          # scores the verdict you type at the end-of-episode prompt
max_steps = 1200           # 120 s at 10 Hz
rerun = true               # live viewer of cams/state/actions (inspect-robots[rerun])
store_frames = true        # keep the policy's camera frames per run

[embodiment.args]
top_cam_device = /dev/v4l/by-id/YOUR-TOP-CAM
# A depth serial replaces, rather than augments, that slot's *_cam_device.
# Do not also set left_cam_device or right_cam_device in this mixed rig.
left_depth_serial = YOUR-LEFT-D405-SERIAL
right_depth_serial = YOUR-RIGHT-D405-SERIAL
EOF

RealSense depth

Install the optional librealsense dependency on the robot machine:

uv pip install 'inspect-robots-yam[depth]'

A slot configured with *_depth_serial is owned by librealsense, which serves both its colour image and aligned depth plus intrinsics. Find the device serial with rs-enumerate-devices, or reuse the ASIC serial embedded in the /dev/v4l/by-id/... name used for *_cam_device; either namespace is accepted. Quote all-digit serials in config.ini (top_depth_serial = "0385...") — unquoted numeric values are int-coerced and rejected with a hint.

RealSense capture runs in an isolated child process by default (realsense_capture = process), keeping librealsense and frame-copy work away from the motor-control interpreter; realsense_capture = inline restores the in-process reader as a debugging escape hatch. depth_fps (default 30) sets both stream rates — devices accept only their discrete rates (D435/D405: 6/15/30/60/90).

Cameras open lazily, so the first reset() has a one-time warm-up cost while the pipelines start and deliver their first frames. A RealSense opened through librealsense cannot also be opened through V4L2—there can be only one streamer per device node—so *_cam_device and *_depth_serial are mutually exclusive for each slot.

Make sure the plugin is installed and the MolmoAct2 server is up. The molmoact2 policy is only a client: nothing moves until the server is listening, and it does not start itself or survive a reboot (full setup in Install):

uv pip install inspect-robots-yam   # provides the molmoact2 policy + yam_arms rig
# On the GPU machine, from the MolmoAct2 repo. Leave it running, e.g. in tmux:
python examples/yam/host_server_yam.py --host 0.0.0.0 --port 8202
curl http://127.0.0.1:8202/act      # 200 means the server is ready

Then tell the robot what to do:

inspect-robots "place the fork on the plate"

The attended flow: position the scene, press Enter to start, press any key to end the episode, then grade it at the prompt that follows. The status line counts up against the run's real step limit (t = 42s / 120s) with no configuration needed (requires inspect-robots newer than 0.8.1; on older cores set max_steps_hint).

To skip both Enter gates, set auto_start=true (CLI: -E auto_start=true, persistently via [embodiment.args] in config.ini, or accept the suggested yes when inspect-robots setup offers the toggle). The arms home immediately after a one-line stand-clear notice and the episode starts right after the homing ramp, so stage the scene before launching the run. The same holds between episodes of a multi-episode run: the next episode starts as soon as the arms re-home, so restage while answering the grading prompt, not after. Everything else about the attended flow stays: the status line, the press-any-key end, and operator grading, which is also why auto_start refuses to run without an interactive terminal.

For exotic camera stacks (or full programmatic control), the Python API takes a custom camera_reader returning {"top_cam", "left_cam", "right_cam": HxWx3 uint8}:

from inspect_robots import eval
from inspect_robots.approver import ClampApprover
from inspect_robots_yam import MolmoAct2Policy, YAMEmbodiment, YamConfig

emb = YAMEmbodiment(YamConfig(left_channel="can0", right_channel="can1"),
                    camera_reader=my_camera_reader)
pol = MolmoAct2Policy(server_url="http://127.0.0.1:8202")

(log,) = eval("kitchenbench/pour_pasta", pol, emb,
              approver=ClampApprover(emb.info.action_space))  # defense in depth
print(log.status, log.results.metrics)

Pressing the end-episode key terminates the episode with termination_reason="operator_end" — the embodiment itself asks nothing. On CLI runs (inspect-robots ≥ 0.25), the framework then asks once per trial: did the robot succeed? [y/n/partial/skip] plus an optional grader note. The bare eval() call above never prompts: pass before_scoring= a callable that sets record.operator_judgement (grade live, or from your own UI) when driving the Python API directly. Score attended runs with the operator scorer (reads the recorded judgement); KitchenBench's task_success reads it too. success_at_end only counts embodiment-detected success terminations, so it scores operator-graded runs as failures — don't pair it with attended yam runs. The operator prompts need an interactive terminal: a dead stdin raises EmbodimentFault (the framework's always-halt path). For runs with no operator, set YamConfig(unattended=True) (CLI: -E unattended=true): all operator prompts are skipped and every episode runs to max_steps, scoring as a failure. For attended runs that only want to drop the Enter gates, use auto_start=true instead; unattended wins when both are set.

Drive the arms with an LLM (agent mode)

With the inspect-robots-agent plugin installed, a frontier LLM can drive the arms directly: it sees the cameras and the labeled 14-D state, and moves joints by name (left_j0..left_gripper, right_j0..right_gripper) through smooth, approver-checked motions.

Put a .env with your API key in the working directory, reusing one you already have or copying the .env.example template (the CLI loads it automatically; real environment variables take precedence over its values):

ANTHROPIC_API_KEY=sk-ant-...

Install the add-on:

uv pip install -U inspect-robots-agent inspect-robots-yam
inspect-robots config set embodiment yam_arms     # once, per machine

The -U matters if you installed the agent plugin before: the run below needs its native Anthropic wire, added in inspect-robots-agent 0.13.0.

Cameras come from the builtin reader: configure one *_cam_device or *_depth_serial source per slot in ~/.config/inspect-robots/config.ini (see Run on hardware above), or pass them as -E flags per run. Then run the LLM on the robot:

inspect-robots "place the fork on the plate" --policy agent \
    -P model=anthropic/claude-opus-5 \
    -P wire=anthropic -P speed=fast -P effort=high \
    -P max_output_tokens=32000

-P wire=anthropic drives Claude through its native Messages API, which is what -P speed=fast needs: the same model served at up to 2.5x higher output tokens per second, for roughly double the standard price. That trade is worth more here than in sim, because the arms hold their pose while the model thinks, so serving latency is time the fork spends waiting. Fast mode covers Claude Opus 5 and Opus 4.8 on the Claude API. -P effort=high buys deeper reasoning for a contact-rich task, and since thinking bills against the same budget as the reply, the output cap goes up with it.

Drop those four flags to run any OpenAI-compatible model instead, such as -P model=openai/gpt-5.6 or -P model=anthropic/claude-fable-5.

Note: Invoke the CLI as plain inspect-robots, not uv run inspect-robots. Inside a uv project, uv run first re-syncs the environment to the project's lockfile, downgrading whatever the uv pip install commands above just added back to the locked versions; the only trace is an easy-to-miss "Uninstalled N / Installed N packages" line. To use uv run anyway, pass --no-sync, or declare everything as real dependencies with uv add inspect-robots-yam plus your plugins.

Safety guardrails (a bounds clamp plus a per-step delta limit derived from the declared action space) are wired in by default for every CLI run; turning them off requires an explicit --disable-guardrails.

Cartesian EEF mode

For LLM-agent runs, opt into the 10-D absolute Cartesian interface:

[embodiment.args]
control_interface = eef_pos

Each arm is controlled as x, y, z, yaw, gripper. Positions are metres in that arm's own base frame, with +x forward from the base and +z up. The two base frames are independent. On common mirrored bimanual mounts, the arms' +y axes point in opposite world directions, so equal signed y targets do not mean equal world directions.

Yaw is an absolute target relative to the orientation captured at reset: 0 means the reset orientation. It rotates about base +z while preserving the captured roll and pitch. Yaw interpolation does not wrap. A move from 3.1 to -3.1 sweeps through zero instead of taking the short path, so use intermediate yaw targets for near-±π regrasps.

The default workspace per arm is x [0.15, 0.48], y [-0.25, 0.25], and z [0.03, 0.40], with yaw [-π, π] and gripper [0, 1]. These bounds were validated against the bundled YAM + LINEAR_4310 model at the default working orientation, but they are a conservative box rather than an exact reachable set. eef_low and eef_high override all ten bounds. The observation keeps the 14-D joint_pos field for logging and adds the command-aligned 10-D eef_state field.

In both control interfaces, home_pose=None selects a mandatory per-mode factory default instead of skipping homing. Joint mode uses the dataset-verified DEFAULT_JOINT_HOME_POSE, with every joint at encoder zero and both grippers open. EEF mode uses DEFAULT_EEF_HOME_POSE; its provisional per-arm joints are [-0.024, 0.794, 0.645, -0.375, -0.021, -0.012], with both grippers open. The first EEF reset validates that the configured home FK lies in the workspace box before moving, then captures each arm's yaw reference after homing.

Warning: EEF mode has no arm-table or arm-arm collision checking. The workspace box, Cartesian guardrails, joint-space IK rate limit, oscillation hold, and joint limits are the only geometric protections. The two default y ranges overlap. Keep an operator at the e-stop; using EEF mode unattended is operator discretion and requires rig-specific validation.

Warning: Before any unattended agent run, verify on your rig that the arms hold position while the LLM thinks (seconds between action chunks). Run the bundled check per arm and per mode, arms mid-workspace, e-stop in hand:

inspect-robots-yam-holdcheck left --zero-gravity true
inspect-robots-yam-holdcheck right --zero-gravity true

(left and right resolve through the wizard config; a raw interface such as can0 or can_left still passes through unchanged.) PASS in the mode you run agents in closes the verification. The default zero_gravity_mode=true puts the i2rt driver in a gravity-compensated, compliant mode; if it drifts but --zero-gravity false holds, run agents with -E zero_gravity_mode=false. If both drift, file an issue with the numbers. Keep a hand on the e-stop for the first runs.

YAM ships with a factory resting pose at encoder zero for every joint and 1.0 (open) for both grippers. It equals the joint-mode factory home, so standard upright rigs end with a gentle 3-second park and the next episode begins with open grippers. Override it per rig when needed. Pose fields accept comma-separated values from the CLI and config.ini. For example, a per-rig rest target can retain measured joint offsets while parking open:

[embodiment.args]
rest_pose = -0.002,0.002,0.002,-0.089,0.007,-0.026,1.0,-0.006,0.002,0.001,-0.087,-0.007,-0.019,1.0

Set rest_pose = none to opt out of the factory target and park at the pose captured before the first commanded motion instead.

In delta mode (-E joints_are_delta=true) the declared action space is the per-step displacement box (YamConfig.step_limits, default 0.2 rad per joint and a full gripper stroke per step); the absolute joint limits still clamp the summed command inside the embodiment as a backstop. A delta-configured rig must be paired with a delta-declaring policy (-P joints_are_delta=true for molmoact2); a mismatch fails the compatibility check before any motion.

Collision guardrail

YamConfig.collision_guardrail defaults to True. In absolute joint mode, YAMEmbodiment contributes a predictive MuJoCo guardrail automatically. A blocked target becomes a hold at the last safe commanded pose and is marked in the recorded action metadata. If MuJoCo is unavailable, the run continues with a warning that includes this install command:

pip install "inspect-robots-yam[collision]"

Configure measured rig geometry in config.ini or with -E arguments:

[embodiment.args]
collision_left_base_pos = 0.0,0.3,0.0
collision_right_base_pos = 0.0,-0.3,0.0
collision_left_base_yaw = 0.0
collision_right_base_yaw = 0.0
collision_table_height = 0.0

Warning: The default base offsets, (0.0, 0.3, 0.0) and (0.0, -0.3, 0.0), are unverified placeholders. Measure the mounting position and yaw of both bases on every rig, then override them. Incorrect offsets can silently miss real cross-arm collisions or block safe motions.

Two known false-positive classes can change eval results:

• Table-press grasps can hold when demonstration-derived targets press slightly through the modeled table. Raise collision_penetration_threshold or lower collision_table_height. On a tableless rig, set collision_table=false.
• Bimanual close-quarters work such as handovers or clapping can hold because both finger joints are modeled at their open extremes. A policy that repeats the blocked target can livelock until max_steps. Configure both measured base positions to reduce cross-arm geometry error, or set collision_guardrail=false for that rig.

The run refuses to start when the configured home pose is already in collision under the effective geometry. Correct the collision_* geometry fields or set collision_guardrail=false after verifying that an opt-out is appropriate.

The guardrail supports only 14-D absolute joint_pos actions. It refuses EEF and joint_delta spaces because an approver sees Cartesian targets or deltas before the embodiment converts them. Those modes continue with a skip warning.

The checker models commanded poses, not measured arm motion. Physical motion can lag or sag away from checked waypoints, including with the default zero_gravity_mode=true, so do not reduce clearance margins to zero. build_yam_guardrails remains available for programmatic chains and strict abort behavior.

This guardrail reduces collision risk. It does not model props, certify a continuous path, observe the measured arm trajectory, check reset or park motions, or replace the operator and physical e-stop.

Safety

• Hard clamp backstop. Every command is clipped to YamConfig.joint_low/high inside step(), independent of any Inspect Robots Approver: unclamped model outputs can never reach the motors. Set the arm slots to your real YAM joint limits (the defaults are conservative placeholders: joints ±π, gripper 0–1). But note the limits are in policy units per the table below: gripper slots 6 and 13 stay normalized 0–1, only slots 0–5 and 7–12 are radians.

• Use ClampApprover on hardware for a second layer.

• Zero-gravity handoff jump. The arms connect in zero-gravity mode by default (YamConfig(zero_gravity_mode=True), passed through to the i2rt driver). Homing and rest-pose motions ramp at control_hz, but the first policy action in joint mode is still a stiff PD command that can jump from wherever the arm ended up. Nothing bounds the per-step joint delta in absolute joint mode yet (tracked as a known issue). EEF mode applies a 0.2-rad-per-joint per-step IK backstop, but a six-joint branch transit can still move the EEF tens of centimetres because rate-clamped intermediate configurations are not IK solutions. Reset always moves the arms through the full homing ramp, and every mode has a factory home. Attended runs issue a stand-clear prompt before the first homing ramp of each connection. Stand clear when the episode starts, and use home_pose as the per-rig override when the factory start is not validated for your setup.

• EEF reachability and collision limits. Iteration-cap non-convergence uses the solver's finite last iterate as best effort, and the next eef_state reports the true result. IK branch flips are joint-rate-clamped and repeated reversals hold the whole affected arm temporarily. These controls do not check collisions or guarantee a Cartesian path during a clamped branch transit. Raised work surfaces also need a raised EEF z minimum: the default z_min=0.03 leaves only about 19 mm nominal fingertip clearance over a table at the arm-base plane, less up to 5 mm of IK error.

• Park pose must rest under gravity. On close, the arms ramp back to an explicit per-rig rest_pose or the factory zero-joint, open-gripper target, and torque is released once the ramp finishes. Set rest_pose=none to opt out and fall back to the pose captured at the first reset. Verify that the factory target is a supported resting pose on your rig, or start runs (or set rest_pose) with the arms in one, not held mid-air: whatever pose the park ends in is the pose the arms go limp from. The park path is not collision-checked, so keep the workspace clear at episode end. The default parks with both grippers open (wire 1), so parking releases anything still held during the ramp, wherever the arms happen to be. Rigs that must keep an object gripped at park should override rest_pose with gripper slots 0.0. Override both home_pose and rest_pose on rigs whose joint limits exclude zero, since both targets are clamped through the same per-joint box as every command.

• Absolute vs. delta joints: verify first. MolmoAct2's YAM actions are treated as absolute joint targets by default. If your checkpoint emits deltas, set joints_are_delta=True on both the policy and embodiment. They then declare joint_delta, so compatibility checking rejects a mode mismatch before motion. Confirm a new checkpoint's value scale and joint mapping with --dry-run and a single slow jog before running a task.

• Gripper polarity/trim. The wire convention is normalized 0–1, with 1 open and 0 closed. The defaults (gripper_open=1.0, gripper_closed=0.0) preserve an identity map for the standard i2rt driver. These fields are the measured driver-native positions at the open and closed ends of the stroke. Configure an inverted or offset gripper with its actual endpoints, for example gripper_open=0.72, gripper_closed=0.04. Commands are de-normalized on the way out and observations are re-normalized on the way back, so the model always sees the wire convention. Warning: values outside [0, 1] are forwarded on a path i2rt does not clip. Avoid them unless you have verified your firmware's behavior.

  Compatibility (pre-1.0): earlier releases interpreted these fields with the opposite endpoint mapping. A config that explicitly copied the old defaults (gripper_open=0.0, gripper_closed=1.0) now inverts its gripper. A config that followed the old inversion recipe (gripper_open=1.0, gripper_closed=0.0) no longer inverts because those values are now the identity defaults. On identity-calibrated rigs, home_pose, rest_pose, and custom joint_low/joint_high retain their numeric behavior, but their gripper-slot meaning is now 1 open and 0 closed.

Configuration

Joint-space vectors

joint_low/joint_high, home_pose, rest_pose, actions, and the observed joint_pos state all use policy units:

Hardware gripper units (via gripper_open/gripper_closed) exist only at the driver boundary; pose and limit vectors never use driver-native gripper units.

In control_interface="eef_pos", actions and eef_low/eef_high are 10-D:

home_pose, rest_pose, joint limits, and parking remain 14-D joint-space vectors in both control interfaces.

YamConfig: left_channel, right_channel, gripper_type (i2rt GripperType enum name, e.g. LINEAR_4310; grippers only: NO_GRIPPER/YAM_TEACHING_HANDLE would break the 14-D packing and are rejected), control_hz, cam_height/width, joint_low/high, control_interface (joints by default or eef_pos), docs_extra (rig-specific notes appended to the built-in agent documentation), eef_low/high, ik_max_iters, ik_step_joint_limit, cmd_resync_threshold, osc_deadband, osc_reversals, osc_window, osc_hold_steps, home_pose (reset always ramps here smoothly over rest_secs; none selects DEFAULT_JOINT_HOME_POSE in joint mode or DEFAULT_EEF_HOME_POSE in EEF mode), rest_pose (close park target; defaults to the factory zero-joint, open-gripper pose equal to the joint factory home, accepts a per-rig override, and accepts none to fall back to the pose captured at the first reset before torque is released), rest_secs (ramp duration, default 3.0), gripper_open/closed, joints_are_delta, zero_gravity_mode (default True; see Safety), unattended (default False; skip operator prompts), auto_start (default False; skip both operator Enter gates but keep the attended episode flow; needs a TTY; unattended takes precedence), collision_guardrail (default True; predictive holds in absolute joint mode), collision_left_base_pos, collision_right_base_pos, collision_left_base_yaw, collision_right_base_yaw (optional measured rig geometry), collision_table (default True; set False for no table plane), collision_table_height, collision_penetration_threshold (optional collision model overrides), settle_tolerance (radians; none by default, which disables settling; see Settling before observing), settle_timeout_s (default 1.0), settle_timeout_budget (default 20), top/left/right_cam_device (V4L2 camera sources; each slot needs either its device path or its depth serial), top/left/right_depth_serial (RealSense sources owned by librealsense, serving both colour and depth; mutually exclusive with that slot's *_cam_device; either device or ASIC serial namespace is accepted; all slots must be sourced or none), max_steps_hint (deprecated: on inspect-robots newer than 0.8.1, framework runs feed the status line the real horizon automatically; the hint is only a fallback for direct rollout() calls or older cores; bounds nothing). The current factory value is available for inspection as inspect_robots_yam.config.DEFAULT_REST_POSE; this is an informational constant, not a stable import. ActServerConfig: server_url, endpoint, num_steps (the wire field: the server's flow-matching denoising steps, not the chunk length), action_horizon (the checkpoint's advertised chunk length, 30 for the bimanual YAM tag; metadata only), timeout_s, camera_order, state_key, cam_height/width, name (the policy label recorded in eval logs).

Scalar knobs are settable from the CLI: inspect-robots run -P server_url=http://gpu:8202 -E left_channel=can0 ....

Settling before observing

By default step() commands a pose, paces out the control period, and observes, without checking that the arm arrived. A VLA running closed loop at control_hz is fine with that, since its next observation is 100 ms away either way.

Chunked policies are not. The agent policy interpolates one tool call into up to 100 actions and only looks at the observation from the last of them, so it plans its next motion from a pose the arm may not have reached.

Setting settle_tolerance makes step() and reset() wait for every arm joint to come within that many radians of the commanded pose first:

inspect-robots "place the fork on the plate" --policy agent \
  -P model=anthropic/claude-opus-5 \
  -E settle_tolerance=0.05 -E zero_gravity_mode=false

Three things to know before turning it on.

Pick the tolerance from your rig, not from this example. Run inspect-robots-yam-holdcheck and use a value comfortably above the settle figure it reports. A tolerance at or below your rig's steady-state control offset can never be met, so the first settle_timeout_budget steps each burn settle_timeout_s before settling disables itself for that trial.

Take that figure in the mode you will run, and expect zero_gravity_mode=false. Settling presumes a servo that holds position. The default gravity-compensated mode is compliant and may drift instead of holding.

It guarantees the arm reached what was commanded, not what the policy asked for. In eef_pos mode an oscillation hold, a failed IK solve, or the per-step rate clamp all re-send the previous pose, and settling against that succeeds immediately. Commands are also clamped to joint_low/high, which can sit outside the reachable range.

Timeouts are not failures: the step observes anyway and records settled/settle_residual/settle_timeouts in StepResult.info. After settle_timeout_budget timeouts in a trial, settling switches off for the rest of that trial, warns, and marks every later step with settle_disabled. A scorer that judges the final state should check for it. Those per-step values reach scorers and custom sinks; they are not written to the JSON eval log.

Note: Settling fixes when the frame is asked for; the builtin reader's drain threads fix which frame comes back (#63). Both are needed, and both are in place from v0.14.0. A custom camera_reader that reads a V4L2 device on demand still hands back whatever the driver queued earlier, so a settled arm can be photographed mid-motion however tight the tolerance.

With settling on, the operator status line and its Max ...s horizon count steps rather than wall-clock seconds, so both understate real elapsed time (#64).

Development

Dependency changes: after editing dependencies in pyproject.toml, run uv lock and commit the updated lockfile. CI installs with uv sync --locked and fails with "the lockfile needs to be updated" if you forget. Day-to-day conventions (PR-only main, the required ci-ok check, one-click releases) are documented in CLAUDE.md.

uv venv && uv pip install -e ".[dev]"     # inspect_robots + kitchenbench from PyPI
uv run pre-commit install
uv run pytest --cov                        # 100% coverage required
uv run ruff check . && uv run mypy

Every public module, class, and function needs a docstring, enforced by Ruff D1; state the contract instead of restating the symbol name.

The whole suite runs with no hardware, no server, and no stdin: the i2rt driver, cameras, the /act transport, the clock, and operator I/O are all injected. The default hardware seams are excluded from coverage (# pragma: no cover).

Citation

If you use Inspect Robots YAM in your research, please cite it:

@software{inspect-robots-yam,
  author  = {Robocurve},
  title   = {Inspect Robots YAM: Adapters for I2RT YAM bimanual arms},
  year    = {2026},
  url     = {https://github.com/robocurve/inspect-robots-yam},
  version = {0.3.0},
  license = {MIT}
}

License

MIT