Browse ScienceInfo articles and explainers related to Robot.
2,012 published items.
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…
A vision-language-action model, or VLA model, combines visual observations and language instructions with action generation so robots can connect what they see and hear…
Physical AI and embodied AI overlap around perception and action, but they emphasize different questions. Embodied AI focuses on intelligence grounded in a body and envi…
Physical AI combines perception, reasoning, prediction and control so AI systems can understand physical environments and take useful actions through robots, autonomous…
General-purpose robots are designed to perform many different tasks instead of one fixed job. They combine adaptable hardware, perception, control and AI so the same pla…