ROBOTICS & PHYSICAL AI

Multi-robot swarm coordination (Robotarium)

Multi-robot swarm coordination (Robotarium) is an OpenEnv-compatible reinforcement learning environment in our Robotics & Physical AI catalog. An agent acts through the tools below, and a deterministic verifier scores every episode, so the reward can be used for GRPO or other RLVR post-training.

Task and verification

Coordinate decentralized swarms of autonomous agents moving toward shared spatial formations. Control barrier functions (CBF) and inter-agent collision boundaries gate qualification.

Tools and runtime

Robotarium + Control Barrier Functions + formation metrics

OPENENV / ROBOTARIUM

Related Robotics & Physical AI gyms

• Autonomous driving (CARLA)
• ManiSkill articulation & contact
• LeRobot imitation & policy learning
• PX4 drone aerial navigation
• Dynamic balance & locomotion (Unitree G1 / Go1)
• Sim-to-real robotic calibration
• Real robot arm manipulation (Viam)
• Mobile robot indoor navigation (Gazebo)
• Bimanual stationery manipulation
• MuJoCo batched CPU rollouts (MjBatch)

See how these environments are run privately on the custom RL environments page, and how their rewards are made hard to game in our verifier design guide.

Plan a training run

Check the environment’s availability, compatible models and compute in Studio. A catalog entry does not guarantee that hosted training is enabled for your workspace.