Carnegie Mellon University
LEAP Hand
A research hand with design files, APIs and examples for teleoperation and learned manipulation.
DEXTEROUS MANIPULATION
Compare hardware. Discover applications. Share what works. An open reference and community for dexterous manipulation.
Explore source-linked robotics projects and tools on Dexhands.
Carnegie Mellon University
A research hand with design files, APIs and examples for teleoperation and learned manipulation.
UC San Diego / NVIDIA
Vision-based hand–arm teleoperation research with links to retargeting and visualization code.
Hugging Face / LeRobot contributors
Tools for recording datasets, training policies and exploring robot-learning workflows.
Google DeepMind / MuJoCo contributors
A physics engine for articulated systems and contact-rich robotics experiments.
DexSuite contributors
Software for mapping human hand motion to the joint configurations of robotic hands.
Meta research / TACTO contributors
An archived research simulator for images from vision-based tactile sensors, including DIGIT and OmniTact examples.
Google DeepMind / Menagerie contributors
A collection of robot models for MuJoCo, including LEAP, Allegro, Shadow Hand and DEX-EE models.
SJTU / Tsinghua / UC San Diego research team
A simulated benchmark for learning to manipulate articulated objects and testing generalization to unseen objects.
Google DeepMind / Playground contributors
GPU-accelerated robot-learning environments, including tasks for dexterous manipulation.
OpenTeach / NYU research team
Headset-based teleoperation and demonstration collection for several robot arms and dexterous hands.
OpenTeleVision research team
Immersive robot teleoperation with active stereo visual feedback and hand-motion tracking.
BunnyVisionPro research team
Bimanual dexterous teleoperation with Vision Pro tracking and real-time retargeting.
HORA research team
In-hand object rotation using reinforcement learning and rapid motor adaptation.
DexMV research team
Simulation and retargeting tools for learning dexterous manipulation from human videos.
DexPoint research team
Point-cloud reinforcement learning for generalizable dexterous manipulation.
PKU-EPIC
Dexterous grasp proposal generation paired with goal-conditioned grasp policies.
DexDeform research team
Dexterous deformable-object manipulation with human demonstrations and differentiable physics.
DAPG research team
Demonstration-augmented policy-gradient learning for dexterous hand manipulation.
Google Research / RoboPianist authors
A MuJoCo benchmark for coordinated piano playing with two simulated robotic hands.
Farama Foundation
MuJoCo robotics environments with Gymnasium interfaces, including dexterous hand tasks.
Isaac Lab project
GPU-oriented robot-learning framework with articulated-robot manipulation environments.
ManiSkill contributors
SAPIEN-based manipulation simulation with GPU-parallel environments and robot-learning tools.
ARISE Initiative
Modular MuJoCo simulation framework for robot manipulation and benchmark tasks.
ARISE Initiative
A framework for training and evaluating manipulation policies from demonstrations.
Meta Research / DIGIT project
Python interface for connecting to DIGIT vision-based tactile sensors and reading their output.
Tactile Gym research team
PyBullet learning environments using simulated tactile observations for contact tasks.
DexImit research team
A pipeline for learning bimanual dexterous manipulation from monocular human videos.
DFKI Robotics Innovation Center
A modular pipeline transferring captured human-hand motions to different robotic embodiments.
Pollen Robotics
A printable four-finger research hand with mechanical files and control software.
Chestnut Robotics
A tendon-driven research-hand design with assembly, firmware and simulation resources.
ORCA Hand
CAD, printable parts and assembly resources for ORCA hand variants.
Yale GRAB Lab
CAD and build resources for a family of adaptive robotic hands and grippers.
LEAP Hand
Python and ROS 2 interfaces with serial setup and calibration for LEAP Hand v2 Standard.
LEAP Hand
An Isaac Lab environment and sim-to-real examples for LEAP v1 single-axis in-hand reorientation.
ORCA Hand
Python control package with calibration, tendon tensioning and joint-space commands.
ORCA Hand
MuJoCo simulation environments for ORCA hands using the Gymnasium API.
ORCA Hand
Capture-source and retargeting tools for operating ORCA hands from human hand motion.
PSYONIC
Manufacturer documentation, Python/C++ wrappers and simulation examples for the Ability Hand.
SCHUNK
SVH robot-hand driver with descriptions, trajectory control and simulation integration.
Shadow Robot
ROS interfaces and integration tools for the Shadow dexterous-hand family.
Shadow Robot
ROS messages, services and robot descriptions for DEX-EE.
Wonik Robotics
Official ROS 2 control and feedback packages for the four-finger Allegro v5 hand.
DexRobot
Dataset-loading tools for human hand-motion trajectories in Lance/Parquet formats.
DexRobot
DexHand simulation tools with collision-model options and tactile-sensor examples.
Sharpa Robotics
Libraries and API documentation for integrating Sharpa Wave into robotics applications.
Wuji Technology
Device discovery, streaming, recording and hand-retargeting interfaces for Wuji devices.
NYU Robot Learning
Research-maintained Python tools for RH56 hand control and fingertip-target inverse kinematics.
PKU-EPIC / BODex research team
GPU-based dexterous grasp synthesis and approach-trajectory planning using bilevel optimization.
PKU-EPIC
Generative dexterous grasping tools for large synthetic cluttered scenes.
NVIDIA Research / University of Washington
Visuotactile sensor simulation and policy-learning research for contact-intensive manipulation.
MandiZhao
Physics-based retargeting of human demonstrations into coordinated robot-hand manipulation of articulated objects.
dexwild
Portable human demonstrations and robot data combined to train dexterous manipulation policies.
real-stanford
A wearable interface that records dexterous demonstrations and adapts their visual appearance for robot learning.
Meowuu7
Dexterous manipulation through reinforcement learning that tracks human-derived hand–object motion.
PKU-EPIC
A generalist-and-specialist training approach for dexterous grasping across object geometries.
tengyu-liu
Contact-map-based grasp synthesis designed to generalize across robotic hand embodiments.
microsoft
Transformer policies distilled from specialist grasping policies to handle varied objects.
JYChen18
Contact templates and a grasp taxonomy for synthesizing human-like dexterous grasp configurations.
facebookresearch
Self-supervised encoders for vision-based touch, with downstream evaluation through TacBench.
raunaqbhirangi
Python tools for collecting measurements from a magnetic tactile skin.
irmakguzey
Learning tactile representations from exploratory interaction and using them for dexterous manipulation.
ManipTrans
Transfers dexterous bimanual human demonstrations to robots with residual learning.
Liang-ZX
Interaction-aware diffusion planning for dexterous manipulation.
NVlabs
Hand–arm grasping research that transfers privileged training information into visual policies.
Improbable-AI
Visual learning for in-hand object reorientation with a D’Claw robot.
YuLiHN
A grasp sampler, evaluator and refinement pipeline conditioned on partial object point clouds.
MultiGrasp
Dexterous grasp generation and execution research for holding multiple objects in one hand.
4DVLab
A benchmark for dynamic human-to-robot handovers with dexterous hands.
PKU-MARL
A collection of bimanual dexterous manipulation tasks for reinforcement-learning experiments.
dexsuite
A collection of hand and object model descriptions for dexterous robotics workflows.
robot-descriptions
Python loaders for robot description packages, including models useful for hand experiments.
lixiny
A differentiable MANO hand-model layer with anatomical hand utilities in PyTorch.
hassony2
A PyTorch implementation of the MANO hand-model layer for differentiable hand reconstruction.
geopavlakos
Transformer-based reconstruction of three-dimensional human hand meshes from images.
facebookresearch
Tools for reading, visualizing and evaluating hand-tracking data and model outputs.
rolpotamias
Hand detection and three-dimensional hand reconstruction in varied visual scenes.
ThunderVVV
Reconstruction of world-space hand motion from egocentric video.
zc-alexfan
Joint reconstruction of a hand and a held object from video.
ZhengdiYu
Reconstruction of interacting hand motion in four dimensions from moving-camera video.
ruka-hand
A tendon-driven research hand with design, calibration and control resources.
ruka-hand-v2
A later RUKA design with wrist and finger-abduction capabilities and accompanying control tools.
SoutheastWind
Design resources for a tactile, underactuated hand with antagonistic tendon actuation.
midas-hand-org
Python control, homing and tactile-sensor tools for the MIDAS hand.
zhaohengyin
A contact-field-based procedural grasp-generation engine used by DexterityGen.
facebookresearch
Physics-based retargeting of human motion into robot trajectories across supported embodiments.
malik-group
A video-to-robot workflow combining reconstruction, retargeting and model-predictive control.
Rice-RobotPI-Lab
A reconstruction pipeline for recovering metric hand–object interaction from RGB video.
brave-eai
A MuJoCo benchmark for coordinated dexterous manipulation and tool use.
srl-ethz
A dexterous manipulation benchmark with simulation assets, printable objects and demonstration interfaces.
ycyao216
A research benchmark intended to cover multiple dexterous hand tasks and embodiments.
mimicrobotics
Retargeting research and tools for mapping human motion onto different dexterous hands.
iSEE-Laboratory
Manipulation-type-aware retargeting for dexterous teleoperation.
yunhaif
Retargeting-guided reinforcement learning for dexterous manipulation.
tylerlum
A grasp dataset and learning pipeline connecting grasp proposals to hand–arm planning.
IRVLUTD
A common-coordinate representation for transferring grasp information across different robot hands.
google-deepmind
Geometry-matching research for grasp synthesis across different robot embodiments.
4DVLab
Physics-aware dexterous grasp generation across varied objects.
GeorgeWuzy
Cross-embodiment dexterous grasping with a human-like contact representation.
hgaurav2k
Hand–object interaction pretraining followed by task-specific dexterous policy learning.
x-robotics-lab
Dexterous tool manipulation using a learned rotation prior and real-world sensing adaptation.
ZaynLeung
Dual-arm retargeting and teleoperation code with physical-robot recordings and simulation examples.
WenjiaWang0312
Four-dimensional reconstruction of human motion and scene context from everyday recordings.
Tao-11-chen
Feed-forward object reconstruction and pose estimation from partially observed hand–object interaction videos.
aidilayce
Hand–object reconstruction from video using geometric guidance.
jeffsonyu
Dynamic hand–object reconstruction using a distributed, force-aware contact representation.
BeingBeyond
Human-centric tactile pretraining and downstream dexterous manipulation learning.
ada-grasp-ctrl
Coordinated contact control for adapting a dexterous grasp under uncertainty.
ZhuoyangLiu2005
Tactile-reactive dexterous manipulation that uses touch to respond during task execution.
cypypccpy
Object-centric dexterous manipulation policies learned from human interaction motion.
Hly-123
Functional grasping research for multiple dexterous hand designs.
GaTech-RL2
Tools for processing, accessing and learning from egocentric human data for robot learning.
taeyunwoo
Physics-based evaluation of reconstructed or generated human hand–object interactions.
Farama-Foundation
Historical offline reinforcement-learning benchmarks, including Adroit dexterous-hand tasks.
haosulab
A physics and rendering platform for articulated-object interaction and robotic manipulation.
nvidia-isaac
A pipeline connecting human video reconstruction with simulation assets and robot-training data.
open-dynamic-robot-initiative
Official simulation environments and models for the TriFinger robot family.
YuyangLee
Combined tactile and visual perception for learning contact-rich manipulation.
armlabstanford
Geometry and index files used to train shape reconstruction for the DenseTact optical tactile sensor.
facebookresearch
Manufacturing documentation and design files for the DIGIT vision-based tactile sensor.
AureleoPKU
A dexterous vision-language-action model combining contact-aware multimodal prediction and action generation.
LogosRoboticsGroup
Tactile prediction and execution-time action correction for contact-rich robot manipulation.
real-stanford
A handheld interface and learning workflow for recording forceful manipulation without using a robot during capture.
gist-ailab
Force-guided policy learning with frequency-aware representations for contact-rich manipulation.
kushal2000
Dexterous play pretraining followed by task-specific fine-tuning for precise assembly.
tonyzhaozh
An imitation-learning implementation that predicts chunks of robot actions from demonstrations.
real-stanford
A visuomotor policy-learning framework that generates action sequences through diffusion.
Robbyant
A vision-language-action release with an action representation that includes dexterous hands and other robot subsystems.
physical-superintelligence-lab
A humanoid dexterous manipulation stack combining teleoperation, data collection and policy learning.
SimarKareer
Joint learning from egocentric human video and teleoperated robot data.
airoa-org
Operator-side software for a two-handed manipulation-data collection interface.
wangwen-banban
Egocentric hand-motion forecasting with an explicit representation of the manipulation plan.
facebookresearch
Neural geometric retargeting for mapping human motion onto robotic hands.
neuroagents-lab
A self-contained simulation snapshot for studying tactile sensors in dexterous task learning.
EDEM-AI
A dexterous manipulation benchmark connecting synthesized skills, training data and evaluation.
CEA-LIST
Contact-topology-conditioned grasp synthesis using a canonical workspace representation.
CEA-LIST
A generative, object-agnostic planner for dexterous robot grasps.
TEA-Lab
A haptic force-feedback glove with hardware documentation, calibration and teleoperation scripts.
wengmister
A biomimetic research hand with cable-and-pulley mechanisms, build instructions and control examples.
wayrise
A dexterous garment-manipulation environment with demonstration generation and policy-learning resources.
open-dynamic-robot-initiative
Official drivers, examples and basic utilities for the TriFinger robot family.
NYU-robot-learning
A demonstration-collection and imitation-learning system for dexterous hand–arm manipulation.
srl-ethz
Isaac Gym environments and training tools for the Faive hand.
raunaqbhirangi
Control and data-collection interfaces for the D’Manus hand with tactile sensing over the fingers and palm.
InternRobotics
A glove combining motion capture and tactile feedback for dexterous teleoperation.
Taccel-Simulator
A GPU simulator for vision-based tactile sensing and contact-rich robotics experiments.
midea-ai
A vision-language model with a diffusion-policy component for visuomotor robot learning.
facebookresearch
Hardware and software resources for combining tactile sensors and robot-hand control on a shared interface.
raunaqbhirangi
Python interfaces, firmware and supporting resources for collecting ReSkin magnetic tactile measurements.
junha-l
Language-conditioned dexterous grasp generation evaluated on instruction and grasp-taxonomy benchmarks.
facebookresearch
Object perception during in-hand manipulation using neural fields and combined vision and touch.
Farama-Foundation
Tools for storing, sharing and using offline reinforcement-learning datasets.