Behavioral Cloning
Behavioral cloning is the approach to imitation learning that reduces control to a supervised learning problem.
Robotics
Explore robots, the companies building them, and the methods used to sense, learn, and act.
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Browse subtopics: Reinforcement Learning
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Showing 1-21 of 21 articles
Control theory
Control theory is the mathematical and engineering discipline concerned with designing and analysing systems that achieve desired behaviour through measurement and feedback.
Dactyl (OpenAI)
Dactyl was a robotics research project at OpenAI that used deep reinforcement learning to control a five-fingered, human-like robot hand and manipulate physical objects with high dexterity.
Embodied AI
Embodied AI is an area of artificial intelligence concerned with agents whose perception, action, learning, and reasoning are coupled through interaction with an environment.
EyeRobot
EyeRobot is a line of robot-learning research from the University of California, Berkeley that gives a manipulator robot an actively controlled "eye" and trains it to look where looking helps the arm act.
Generalist GEN-1
GEN-1 is an embodied robot foundation model and control system developed by Generalist AI.
Imitation Learning
Imitation learning is a family of methods for learning sequential behavior from demonstrations.
Jumper (Robot)
Jumper is a crab-inspired robot from KingKong Robotics with 22 degrees of freedom.
Microduck
Microduck is a small biped robot developed by Pollen Robotics, the robotics team within Hugging Face.
MonoRace
MonoRace is an onboard perception and control system for autonomous racing drones, developed at the Micro Air Vehicle Laboratory (MAVLab) of Delft University of Technology (TU Delft) in the Netherlands.
MuJoCo
MuJoCo (short for Multi-Joint dynamics with Contact) is an open-source physics simulator designed for fast and accurate simulation of articulated mechanical systems with rich contact interactions.
NVIDIA COMPASS
NVIDIA COMPASS is a framework and trained model for cross-embodiment robot navigation. Its name expands to Cross-Embodiment Mobility Policy via Residual RL and Skill Synthesis.
NVIDIA Isaac Lab
NVIDIA Isaac Lab is an open-source, GPU-accelerated framework for robot learning that trains robot control policies at scale by running thousands of physics simulations in parallel on GPUs.
Pieter Abbeel
Pieter Abbeel (born 1977) is a Belgian-American computer scientist and a professor of electrical engineering and computer sciences at the University of California, Berkeley, where he directs the Berkeley Robot…
Robot learning
Robot learning studies how robots acquire or improve behavior from data and experience.
SONIC (Humanoid Control)
SONIC, short for Supersizing mOtion tracking for Natural humanoId Control, is a physics-based whole-body motion tracking and control system developed by Nvidia.
Sergey Levine
Sergey Levine is a computer scientist, associate professor of electrical engineering and computer sciences at the University of California, Berkeley, and a co-founder of Physical Intelligence
Sim-to-real transfer
Sim-to-real transfer (also written as sim2real) is the process of training a policy, controller, or perception model inside a physics simulator and deploying it on a physical robot in the real world without…
Simulation (in AI and robotics)
Simulation in artificial intelligence and robotics is the use of computational physics, rendering, and procedural environments to recreate a synthetic version of a physical or virtual world inside which AI…
SuperMimic
SuperMimic is a reinforcement learning method for training a humanoid robot controller to follow human motions.
π*0.6 (pi-star-0.6)
π*0.6 (written "Pi-star-0.6") is a vision-language-action robot foundation model developed by Physical Intelligence, a San Francisco robotics startup.