Robotics & Physical
Decisions that end in physical action: arms, drones, fleets and edge hardware, plus simulated robots that chain fixed primitives. Control and safety usually stay in code while the model makes slower tactical choices.
25 public projects
ROS 2 robot diagnostics CLI where an optional agent uses Jev to choose which read-only evidence tool to call next.
CLIbetaPythonSimulated Franka arm that follows plain-English goals by having Jev chain about 30 hardcoded motion primitives, one per step.
Agent skillprototypePythonCamera-only MuJoCo quadrotor where Jev makes 2.5 Hz tactical judgments while code keeps flight control and a safety veto.
ProjectprototypePythonMulti-drone simulation where Jev makes fast reflex decisions per drone and an optional slower LLM may advise but never takes control.
AppprototypeTypeScriptSO-101 robot-arm workbench where a Jev decision runner picks bounded joint steps from typed candidates under a spend cap.
ProjectprototypeTypeScriptOpen 4B System I driving model that scores behaviours like cruise, stop, yield and brake from three camera frames each decision.
ProjectresearchPythonExperimental robot loop where Jev chooses the next verified action from perception-generated options for a language goal.
ProjectresearchPythonMeasured runs of Jev triaging incidents for a simulated 10,000-robot warehouse fleet, with cost and a ModernBERT comparison.
ServiceresearchPythonMuJoCo PiPER arm controlled by a local decider-2b model choosing among ten skills via a Jev-style typed-choice interface while targets move.
Agent skillresearchPythonResearch prototype testing Jev as a semantic supervisor that tells a driving policy to continue, observe, replan or defer.
ServiceresearchPythonMuJoCo pilot where Jev, Claude Haiku and reactive rules choose pick-and-place actions; Jev matched the rules exactly.
ProjectresearchPythonResearch adding plain-English constraints to JEPA world-model planning, with Jev judging each imagined step instead of an LLM.
ProjectresearchPythonCamera-observed cooperative drone pursuit in a MuJoCo city where each UAV's tactical move is a /v1/systemone decision.
ServiceresearchPython2B decision model for robots specialised in physical judgment, returning calibrated probabilities for questions like 'will the glass tip?'
ProjectresearchPythonTwo-stage Jev control of a MuJoCo Franka Panda: choose an intent, then X/Y/Z directions and gripper, with physics-based success checks.
ProjectresearchPythonResearch system that uses a safety-tuned Jev-style predictor to forecast constraint violations of a robot VLA policy and gate actions.
ProjectresearchPythonOne CLI to command a flock of robots with an LLM per robot, plus an optional decision LLM such as Jev that picks among known skills.
CLIbetaPythonThree.js drone simulator flown by Jev: code computes the situation, Jev picks stick inputs, and safety limits stay in code.
AppprototypeTypeScriptMuJoCo Franka arm stacking cubes: code proposes and simulates small moves, Jev picks moves, grasp, release and completion, vs Claude.
AppprototypePythonSimulated Perseverance rover demo where Jev makes fast onboard hazard and science judgments, Claude plans, and code owns geometry.
AppprototypeJavaScriptThree.js drone simulator where Jev chooses each of nine candidate movements and estimates whether the route is blocked.
AppprototypePython, TypeScriptFine-grained robot control on LIBERO tasks where Jev picks intent, motion family and input with local physics previews.
AppresearchPythonTyped Jev decision primitives for Reachy Mini robot apps that turn observations into state and return abstract motion targets.
ModelprototypeTypeScript- EmbodiedJev★ 302
Browser MuJoCo Franka Panda workbench comparing Jev, Claude, OpenAI-compatible and local models on pick, stack and obstacle tasks.
ServiceresearchPython Multimodal robot decision SDK: camera images plus text go to Qwen3.5-9B with a corrective head that picks the next preset arm skill.
BenchmarkresearchPython