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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.

    CLIbetaPython
  • Simulated Franka arm that follows plain-English goals by having Jev chain about 30 hardcoded motion primitives, one per step.

    Agent skillprototypePython
  • Camera-only MuJoCo quadrotor where Jev makes 2.5 Hz tactical judgments while code keeps flight control and a safety veto.

    ProjectprototypePython
  • Multi-drone simulation where Jev makes fast reflex decisions per drone and an optional slower LLM may advise but never takes control.

    AppprototypeTypeScript
  • SO-101 robot-arm workbench where a Jev decision runner picks bounded joint steps from typed candidates under a spend cap.

    ProjectprototypeTypeScript
  • Open 4B System I driving model that scores behaviours like cruise, stop, yield and brake from three camera frames each decision.

    ProjectresearchPython
  • Experimental robot loop where Jev chooses the next verified action from perception-generated options for a language goal.

    ProjectresearchPython
  • Measured runs of Jev triaging incidents for a simulated 10,000-robot warehouse fleet, with cost and a ModernBERT comparison.

    ServiceresearchPython
  • MuJoCo PiPER arm controlled by a local decider-2b model choosing among ten skills via a Jev-style typed-choice interface while targets move.

    Agent skillresearchPython
  • Research prototype testing Jev as a semantic supervisor that tells a driving policy to continue, observe, replan or defer.

    ServiceresearchPython
  • MuJoCo pilot where Jev, Claude Haiku and reactive rules choose pick-and-place actions; Jev matched the rules exactly.

    ProjectresearchPython
  • Research adding plain-English constraints to JEPA world-model planning, with Jev judging each imagined step instead of an LLM.

    ProjectresearchPython
  • Camera-observed cooperative drone pursuit in a MuJoCo city where each UAV's tactical move is a /v1/systemone decision.

    ServiceresearchPython
  • 2B decision model for robots specialised in physical judgment, returning calibrated probabilities for questions like 'will the glass tip?'

    ProjectresearchPython
  • Two-stage Jev control of a MuJoCo Franka Panda: choose an intent, then X/Y/Z directions and gripper, with physics-based success checks.

    ProjectresearchPython
  • Research system that uses a safety-tuned Jev-style predictor to forecast constraint violations of a robot VLA policy and gate actions.

    ProjectresearchPython
  • One 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.

    CLIbetaPython
  • Three.js drone simulator flown by Jev: code computes the situation, Jev picks stick inputs, and safety limits stay in code.

    AppprototypeTypeScript
  • MuJoCo Franka arm stacking cubes: code proposes and simulates small moves, Jev picks moves, grasp, release and completion, vs Claude.

    AppprototypePython
  • Simulated Perseverance rover demo where Jev makes fast onboard hazard and science judgments, Claude plans, and code owns geometry.

    AppprototypeJavaScript
  • Three.js drone simulator where Jev chooses each of nine candidate movements and estimates whether the route is blocked.

    AppprototypePython, TypeScript
  • Fine-grained robot control on LIBERO tasks where Jev picks intent, motion family and input with local physics previews.

    AppresearchPython
  • Typed Jev decision primitives for Reachy Mini robot apps that turn observations into state and return abstract motion targets.

    ModelprototypeTypeScript
  • 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

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