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MuJoCo simulation where a local decider-2b model picks the next skill for an AgileX PiPER arm through a Jev-style typed-choice interface while the red cube target is pushed to new positions mid-run. Deterministic checks may reject a chosen skill but never substitute another.
User repository on GitHub
Repo stats from the GitHub API, cached Oct 2026.
A local decision model controls an AgileX PiPER arm while its target moves. This project uses Mapika/decider-2b to select robot skills through a Jev-style typed-choice interface. In MuJoCo, a red cube is pushed to three random positions during execution. The robot observes again, recovers from interrupted motions or missed grasps, and places the cube in a tray.
Quoted from the project's README. Read the full README.
Watch out
Apache-2.0 for project code, with bundled PiPER assets keeping their MIT license. It is simulation only: no physical robot deployment, one cube and a fixed tray, and the reliability numbers cover this constrained setup rather than real hardware.
Posts, threads, and videos about this entry from around the web.
Hacker News: Pick Verify: a single decision at the warehouse pick station catches confusable picks.
Show HN: Verifying robot picks with a decision modelRead the thread on Hacker NewsX: A dual-arm robot with Jev in the middle layer
YouTube: Dan Makes Things drives an ESP32 robot with Jev decisions.
Original write-ups on what this entry is for.
Posts from builders shipping with Jev right now.