MyoSuite: Contact-Rich Musculoskeletal Motor Control

MyoDex: Generalizable Representations for Dexterous Physiological Manipulation

SAR: Generalization of Dexterity via Synergistic Action Representation

MyoChallenge 2022: Contact-Rich Manipulation via Musculoskeletal Hand

Fine-Grained Bimanual Manipulation with Low-Cost Hardware

Visual Dexterity: In-Hand Manipulation from Depth

Dexterous Manipulation from Images: Autonomous Real-World RL

Reset-Free Reinforcement Learning via Multi-Task Learning

Planning with Deep Dynamics Models (PDDM)

Optimal Control with Learned Local Models: Dexterous Manipulation

R3M: A Universal Visual Representation for Robot Manipulation

LIV: Language-Image Representations & Rewards for Robotic Control

GenAug: Retargeting Behaviors via Generative Augmentation

VIP: Towards Universal Visual Reward & Representation

Foundation Models for Zero-Shot Task Specification

RRL: ResNet as Representation for Reinforcement Learning

CACTI: Scalable Multi-Task Multi-Scene Imitation Learning

Relay Policy Learning

Learning From Play

Manipulation via Multi-Task Learning

Planning with Deep Dynamics Models (PDDM)

Dynamics Aware Discovery of Skills (DADS)

Time Reversal as Self-Supervision

Learning Dexterous Manipulation from Experience & Imitation

Demo Augmented Policy Gradients

RL: Efficient, General & Low-Cost

Ingredients of Real-World Reinforcement Learning

Robotics Benchmarks for Learning (ROBEL)

Manipulation via Locomotion

Divide-and-Conquer Reinforcement Learning

Real-Time Behaviour Synthesis for Dynamic Hand-Manipulation

Real-Time MPC for Humanoid Robots (DRC)

Synthesis of Complex Behaviors with Optimal Control

ADROIT: Anthropomorphic Dexterous Manipulation Platform

D-Manus: Dexterous Hand with Large-Area Tactile Sensing

Low-Cost Modular 20-DOF Anthropomorphic Robotic Hand

Physically Realistic VR: Hand Manipulation

DARPA Robotics Challenge: Humanoid MPC System

Fast & Compliant Pneumatic Actuation for Tendon-Driven Systems

RoboHive: A Unified Framework for Robot Learning

MyoChallenge 2022: Musculoskeletal Manipulation Benchmark

Robotics Benchmarks for Learning (ROBEL)

Multi-Goal RL: Challenging Robotics Environments

Benchmarking In-Hand Manipulation

Hand Reconstruction from Motor Cortex Recordings

Object Repositioning via Gesture Machine Interface

Closed-Loop Control with Gesture Machine Interface

Precise Robot Calibration via Kinematic Extensions

STAC: Simultaneous Tracking and Calibration