Explore / App / EmbodiedJev · Xingzhi

EmbodiedJev · Xingzhi

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Replay and compare robotic-arm decisions in simulation.

by admin · listed 7 days ago

⚡ What System1 does here

Jev chooses subgoals, XYZ directions, or gripper actions for a given state; the program handles control, safety checks, and outcome assessment.

About

A local MuJoCo workspace with robotic-arm scenes, candidate actions, trajectory replay, and experiment exports. It can compare rules, Jev, other cloud models, and local MiniCPM. The default rule-based demo needs no API key. Jev receives structured text or detected coordinates; raw images require another vision model. The public website shows experiment replays, live simulation runs locally, and deployment to physical robots is still planned. Source code is available at no charge; hosted features, online models, and third-party services may have separate fees. Sources: https://github.com/FBddcz/embodied-jev/blob/main/README.md https://www.jev.store/projects/embodied-jev Only source code or documentation was reviewed. The application was not installed or run, and its effectiveness was not verified. Project demonstration video:

LIBERO drawer-closing simulation: GPT-6 and GPT-6 + Jev ↗

A recorded LIBERO simulation comparison from a small development test, not a real-robot demonstration or a general success-rate benchmark.

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