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Humanoid robot actuators are the motor, transmission, sensing and control assemblies that generate joint motion and torque, turning software commands into physical movem…
Humanoid robots balance by controlling their center of mass, contact forces, momentum and foot placement while using fast feedback to recover from disturbances and chang…
Humanoid robot locomotion is the control of walking, running, stepping and terrain adaptation on a human-like body while maintaining balance, managing contacts and coord…
Whole-body control for humanoid robots coordinates the legs, torso, arms and hands as one physical system so the robot can move, balance and interact without treating ea…
Robot simulation uses software models of robots, sensors, physics and environments so developers can design, test, train and validate robotic systems before or alongside…
Robot teleoperation is the remote control of a robot by a human operator through interfaces such as joysticks, control stations, VR systems, motion trackers or leader de…
Synthetic data for robotics is training or evaluation data generated by simulation, procedural systems or generative models instead of being captured entirely from physi…
Sim-to-real in robotics is the process of transferring policies, models or control strategies developed in simulation to physical robots while managing the mismatch betw…
Robotic grasping is the process of choosing how to approach an object, selecting contact points, closing a gripper or hand and maintaining a stable hold despite uncertai…
Dexterous robot hands use multiple articulated fingers, carefully designed actuation, sensing and coordinated control to grasp and manipulate objects with more flexibili…
Dexterous manipulation is the controlled movement of an object through coordinated robot-hand contacts, including regrasping, rotation, translation and in-hand adjustmen…
Tactile intelligence is a robot’s ability to interpret touch, combine tactile signals with other senses and use contact feedback to learn, decide and adapt its actions i…
Tactile sensing lets robots measure contact, pressure, force, shear, slip and surface deformation so they can understand what is happening at the point where a hand or g…
AI world models learn representations of how an environment changes so an agent can predict possible future states, compare actions and plan before acting in the real or…
A robot foundation model is broadly pretrained on robot, visual, language or action data so it can be adapted across many tasks instead of being built for one fixed beha…