⌁ Games & Simulation MIT E2 · source reviewed
A MuJoCo and Franka Panda embodied-decision workbench for transport, stacking, and obstacle tasks. It compares rule baselines, TypeSafe Jev, compatible chat APIs, and local MiniCPM in one interface; Jev receives structured state rather than camera images.
ϟ JEV · Decision point In the Jev path, code computes geometry, candidate actions, and safety boundaries before the model selects a subgoal plus X, Y, Z, and gripper channels from bounded options. The system observes again after each step; local code owns motion conversion, workspace limits, collision checks, and success criteria.
→The repository separates model selection, deterministic control, and physical verification while recording inputs, probabilities, trajectories, call counts, and latency. It is useful for studying Jev in local robot decisions, not as a replacement for motion control, emergency stops, or hardware safety.
roboticsmujocoembodied-ai
A MuJoCo and Franka Panda embodied-decision workbench for transport, stacking, and obstacle tasks. It compares rule baselines, TypeSafe Jev, compatible chat APIs, and local MiniCPM in one interface; Jev receives structured state rather than camera images.
Read project analysis →
ϟ JEV · Decision pointIn the Jev path, code computes geometry, candidate actions, and safety boundaries before the model selects a subgoal plus X, Y, Z, and gripper channels from bounded options. The system observes again after each step; local code owns motion conversion, workspace limits, collision checks, and success criteria.
→The repository separates model selection, deterministic control, and physical verification while recording inputs, probabilities, trajectories, call counts, and latency. It is useful for studying Jev in local robot decisions, not as a replacement for motion control, emergency stops, or hardware safety.
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- MIT
- Last commit
- 2026-09-22
Source note README, policy code, hierarchical control, and experiment notes at pinned commit f08de2e were reviewed on 2026-09-26, but experiments were not reproduced here. Success, cost, and latency figures are author-reported simulation results; different protocols, inputs, and budgets are not directly comparable or predictive of hardware performance.