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Choose a policy deployment

Choose the framework, checkpoint, action representation and embodiment together. A checkpoint is not portable to another robot just because its output width matches. Use the matching experiment on the runtime and model server, and bind local paths in your station file where that launcher supports it.

Integration counts

The README counts distinct policy implementations selected by checked-in deployment recipes, not checkpoints, YAML files or every model in an upstream framework.

Scope Count Included implementations
Policies with robot deployment recipes 8 Pi05, DP, SAPolicy, GR00T N1.7, LingBot-VLA2, Xiaomi XR-1, UMI DP, OpenWAM
Policies with offline recipes 5 Isaac 0.5; StarVLA QwenOFT, QwenPI-v3, QwenGR00T, QwenFast
Inference modes 8 Serial, asynchronous chunking, RTC, ACT temporal ensembling, AAC, PAINT, AutoHorizon, DVAC
Hardware assembly integrations 4 YAM, Tianji–TacCap; experimental ARX X5 (2023), standard PiPER

The 13 policy integrations are selected through policy_name for XPolicyLab and framework for StarVLA under manimux/configs/policy/. QwenGR00T and GR00T N1.7 are separate implementations; additional tasks and checkpoint variants are not counted. Cosmos3 has an additional offline server guide but no checked-in ManiMux policy recipe, so it is outside this count. A framework's other models can be integrated through the same client protocol; they are not automatically counted as ManiMux deployments.

The 8 inference modes use seven registered strategies: Serial and asynchronous chunking both select algorithm: manimux, with different inference_schedule settings. This count excludes executors (Direct, Smooth, MPC), blending parameters and history wrappers. See scheduling for behavior and model-side sampler requirements.

The 4 hardware integrations count assemblies with selectable controllers: YAM, Tianji–TacCap, ARX X5 (2023) and standard PiPER. The latter two are experimental: they have offline interface checks and station templates, but no validated physical deployment or checked-in real-robot policy experiment. X5 device feedback freshness remains an explicit limitation of the official binding. This count does not imply hardware validation or support for every model/robot pairing.

RoboGUI previews and hardware scope

Embodiment RoboGUI preset Hardware scope
YAM --robot yam Assembly and policy deployment recipes
Tianji–TacCap --robot tianji (local assets required) Assembly and policy deployment recipes
Standard PiPER --robot piper Experimental SDK controller; physical validation pending
ALOHA-AgileX --robot aloha Offline follower-arm assets only; no hardware controller
ARX X5 (2023) No bundled mesh preset Kinematic model and experimental SDK controller; physical validation pending

Use --demo with PiPER or ALOHA to animate synthetic joint trajectories without hardware. Both include gripper visuals. Try the presets. ALOHA's RoboTwin geometry is separate from the physical X5 and PiPER models; its offline preset does not add another hardware integration. LIBERO policy contracts also do not add a hardware driver. See the SDK adapter guide for feedback, calibration and lifecycle limitations.

Model and robot recipes

Deployment Guide
Pi05 / OpenPI on YAM Joint · EEF
DP on YAM Absolute EEF
SAPolicy on YAM Joint/EEF and camera mapping
GR00T N1.7 on YAM Deployment and RTC
LingBot-VLA2 on YAM Action semantics and deployment
Xiaomi XR-1 YAM · Tianji–TacCap
UMI DP on Tianji–TacCap Artifact binding and services
OpenWAM on YAM Checkpoint contract
StarVLA Offline deployment
Cosmos3 / Isaac 0.5 Cosmos3 · Isaac 0.5

Model dependencies run in their own environments. The hardware runtime does not need torch or JAX merely to talk to a policy server. Follow the selected framework's installation instructions and environment guidance.

What support means

XPolicyLab and StarVLA are peer policy frameworks. Model implementations stay with the owning framework; ManiMux clients handle transport and capability/identity checks. XPolicyLab bridge.

YAM and Tianji–TacCap have assembly integrations with different SDK and asset requirements. Direct, Smooth and MPC are executors, independent of inference strategies. The integration protocols describe these boundaries.

A recipe, successful offline forward, ready server and successful physical trial are different evidence levels. Each detailed guide records its scope; historical measurements describe their recorded revision rather than certifying this checkout. An unbound template or unavailable checkpoint is not a working deployment.