robotic-manipulation
There are 48 repositories under robotic-manipulation topic.
OpenDriveLab/AgiBot-World
[IROS 2025] The Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems
huangwl18/VoxPoser
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models
skumra/robotic-grasping
Antipodal Robotic Grasping using GR-ConvNet. IROS 2020.
real-stanford/umi-on-legs
UMI on Legs: Making Manipulation Policies Mobile with Manipulation-Centric Whole-body Controllers
rhett-chen/Robotic-grasping-papers
paper list of robotic grasping and some related works
Fanqi-Lin/Data-Scaling-Laws
Official implementation of "Data Scaling Laws in Imitation Learning for Robotic Manipulation"
thuml/iVideoGPT
Official repository for "iVideoGPT: Interactive VideoGPTs are Scalable World Models" (NeurIPS 2024), https://arxiv.org/abs/2405.15223
jhu-lcsr/good_robot
"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer; and “Good Robot!”: Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer
eric-ai-lab/VLMbench
NeurIPS 2022 Paper "VLMbench: A Compositional Benchmark for Vision-and-Language Manipulation"
skumra/baxter-pnp
Baxter Pick and Place using GR-ConvNet. IROS 2020.
Ghiara/LEGION
Official implementation of paper on Nature Machine Intelligence: "Preserving and Combining Knowledge in Robotic Lifelong Reinforcement Learning"
tahsinkose/hector-moveit
Hector Quadrotor with MoveIt! Motion Planning Framework
incognite-lab/myGym
myGym enables fast prototyping of RL in the area of robotic manipulation and navigation.You can train different robots, in several environments on various tasks. There is automatic evaluation and benchmark tool. From version 2.1 there is support for multi-step tasks, multi-reward training and multi-network architectures.
pantor/griffig
Robotic Manipulation - Learned in the Real World
dfki-ric/deformable_gym
A collection of RL gymnasium environments for learning to grasp 3D deformable objects.
VoxAct-B/voxactb
VoxAct-B: Voxel-Based Acting and Stabilizing Policy for Bimanual Manipulation (CoRL 2024)
etriantafyllidis/ROMAN
The RObotic MAnipulation Network
TongZhangTHU/sgr
Official Code for SGRv2 and SGR.
DanHrmti/ECRL
Official PyTorch implementation of "Entity-Centric Reinforcement Learning for Object Manipulation from Pixels", Haramati et al., ICLR 2024
ymxlzgy/SG-Bot
[ICRA 2024] SG-Bot: Object Rearrangement via Coarse-to-Fine Robotic Imagination on Scene Graphs
JS-RML/flexflip
The project demonstrates an advanced dynamic manipulation strategy by soft gripper called flex-and-flip. The technique is targeted at flexible, thin objects and applied to obtaining secure, pinch grasps on them.
StructuresComp/mBEST
mBEST: Realtime detection of DLOs via minimal bending energy skeleton pixel traversals
Loahit5101/GR-ConvNet-grasping
Deep Robotic Grasping using Generative Residual Convolutional Neural Networks that can generate robust antipodal grasps from RGB-D input images at real-time
weiyx16/Active-Perception
Deep Reinforcement Learning for Robotic Pushing and Picking in Cluttered Environment
dmklee/nuro-arm
Low-cost platform to explore concepts in robotic manipulation
saqib1707/RL-Robot-Manipulation
Inverse Reinforcement Learning for Robot Hand Manipulation Task
robot-learning-freiburg/TAPAS
PyTorch code for TAPAS-GMM.
pantor/learning-transition-for-manipulation
Learning a Generative Transition Model for Uncertainty-Aware Robotic Manipulation
wisdomagboh/parareal-manip
Parallel-in-Time Physics Simulation for Robotic Manipulation
JHKim-snu/PGA
[IROS 2024] PGA: Personalizing Grasping Agents with Single Human-Robot Interaction
shbz80/energybased_stable_rl
Code for the paper Learning Deep Energy Shaping Policies for Stability-Guaranteed Manipulation, IEEE RA-L, 2021
weiyx16/DDPG_Grasping
Robot Grasping in Cluttered Environment with DDPG&Affordance
SaulBatman/SEIL
ICRA 2023: SEIL: Simulation-augmented Equivariant Imitation Learning
sophiamoyen/franka_zed_gazebo
An educational simulation workspace for picking and placing with the Franka Emika Panda Robot in Gazebo with the ZED2 camera.
irsl-sbu/Task-Oriented-Grasping-from-Point-Cloud-Representation
Python Implementation of a neural network-based approach for task-oriented grasp synthesis on object point clouds
robot-learning-freiburg/bask
PyTorch code for Bayesian Scene Keypoints.