Robotics action selection with decision models

Free hosted Jev-style multimodal decision model API (about 20B active) that picks actions from images and options, aimed at robot control.

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

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

Three.js box steered by plain-language instructions: an LLM plans steps, Jev decides move, turn and jump in real time.

Three.js driving simulator with a fast reflex layer, a TTC safety brake and an optional Jev API strategy layer.

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

Three.js driving simulator where Jev picks among locally sampled steering-and-speed paths while code handles geometry and safety.

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

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

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

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

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

Repository serving CLM-8B, a contrastive System One model behind a TypeSafe-compatible API, aimed at humanoid robot decisions.

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

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

Independent open model on Molmo2-ER that answers spatial questions by choosing from fixed options with one shared classifier head.

Traffic signal controller where Jev picks each intersection's next phase from a SUMO snapshot, with local fallbacks.

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

Embodied Minecraft agent where a typed decision plane (Jev or Liquid d1) picks grounded transitions and a kernel owns verification.

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

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

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

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

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.

Fixed-wing landing simulator and benchmark where Jev maps four Choice decisions to aircraft controls against humans, baselines and LLMs.

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

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

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

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

Simulation where Jev picks which of two conflicting signal phases gets green at a real Hong Kong junction from live open sensor data.