Humanoid Robot Actuator Industry: Motors, Reducers, Sensors, Modules and Scale
Map the humanoid robot actuator industry across motors, reducers, encoders, bearings, drives, joint modules, testing and manufacturing scale.
Robot Data and Hardware
English articles about robot data and hardware at Physical AI Lab.
Edge AI for Robots: Onboard Inference, Latency, Power, Safety and Cloud Roles
Learn edge AI for robots, including onboard inference, latency, power, thermal limits, safety, updates and the right edge-cloud workload split.
Robot Sensors for Physical AI: Cameras, LiDAR, IMUs, Encoders, Force and Touch
Compare robot cameras, depth, lidar, IMUs, encoders, force-torque and tactile sensors for Physical AI, fusion, calibration and safety.
Teleoperation Data for Robot Learning: Recording, Synchronization, Curation and Evaluation
Learn how teleoperation data records human robot demonstrations, synchronizes observations and actions, supports policy training and captures recovery.
Bin Picking AI: How Robots Perceive Clutter, Plan Grasps, Avoid Collisions and Retry
Learn how bin-picking AI handles clutter through sensing, object separation, grasp ranking, collision checking, verification and retry logic.
Warehouse Picking Robots: System Architecture, AI, Metrics and Deployment Decisions
Learn how warehouse picking robots connect orders, storage, transport, robotic grasping, verification, metrics and exception handling.
Robot Action Data: What a Training Episode Records and Why Video Alone Is Not Enough
Learn what robot action data contains, how observations and commands are synchronized, why teleoperation matters and how to evaluate dataset quality.