ROBOTICS & PHYSICAL AI

Real robot arm manipulation (Viam)

Real robot arm manipulation (Viam) 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

Control physical robotic manipulators over distributed Viam APIs. End-effector positioning, workspace bounding boxes, collision avoidance, and gripper force sensing gate execution.

Tools and runtime

Viam robotics API + arm kinematics + camera depth verifiers

OPENENV / VIAM

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
• Mobile robot indoor navigation (Gazebo)
• Multi-robot swarm coordination (Robotarium)
• 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.