robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
-
Updated
Aug 21, 2024 - Python
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
SAPIEN Manipulation Skill Framework, a GPU parallelized robotics simulator and benchmark
🤖 The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation
A Tutorial on Manipulator Differential Kinematics
Evaluating and reproducing real-world robot manipulation policies (e.g., RT-1, RT-1-X, Octo) in simulation under common setups (e.g., Google Robot, WidowX Bridge)
Official PyTorch implementation of Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations
Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation
Deep learning for grasp detection within MoveIt.
[RSS 2024] Learning Manipulation by Predicting Interaction
Official codebase for Manipulation Primitive-augmented reinforcement Learning (MAPLE)
Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments (CoRL 2020)
ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation
Bottom-Up Skill Discovery from Unsegmented Demonstrations for Long-Horizon Robot Manipulation (BUDS)
[RSS24] AdaptiGraph: Material-Adaptive Graph-Based Neural Dynamics for Robotic Manipulation
Handeye calibration for 4DOF manipulators using dual quaternions.
Point Cloud Matters: Rethinking the Impact of Different Observation Spaces on Robot Learning
A research toolbox for prototyping robot manipulation environments and applications.
An autonomous grasping solution for the Emika Franka Panda robot.
This package is an implementation of view-based experience transfer for robot grasping in dense clutter.
Add a description, image, and links to the robot-manipulation topic page so that developers can more easily learn about it.
To associate your repository with the robot-manipulation topic, visit your repo's landing page and select "manage topics."