han-xudong / pyDHgripperLinks
PyDHgripper is a Python library that allows you to control the DH gripper with Python. This library is based on the Modbus protocol of the DH gripper. The support types of DH grippers includes AG-95, DH-3, RGD, and PGE series.
☆27Updated last year
Alternatives and similar repositories for pyDHgripper
Users that are interested in pyDHgripper are comparing it to the libraries listed below
Sorting:
- Isaaclab-based grasp learning test bench☆154Updated 6 months ago
- ROS1 implementation of Foundation Pose for model-based 6DoF pose tracking☆16Updated 10 months ago
- Official Repo for ManiSkill-ViTac Challenge 2024☆53Updated last year
- Pytorch implementation of Contact-GraspNet☆72Updated 9 months ago
- Python bindings for real-time control of Franka Emika robots.☆163Updated 6 months ago
- RLBench_ACT: Running ALoha ACT and Diffusion Policy in the RLBench Framework☆126Updated 7 months ago
- [IROS 2021] Dynamic Grasping with Reachability and Motion Awareness☆85Updated 4 years ago
- GelSight SDK for robotic sensors☆157Updated 5 months ago
- ☆64Updated last year
- Tactile Extension for Isaac Sim/ Isaac Lab.☆88Updated this week
- Panda model for dm_robotics☆43Updated 5 months ago
- ☆52Updated 9 months ago
- 9DTact: A Compact Vision-Based Tactile Sensor for Accurate 3D Shape Reconstruction and Generalizable 6D Force Estimation (RAL & ICRA'24)☆137Updated last month
- ☆276Updated 3 months ago
- Unofficial implementation of ICCV 2021 paper "Graspness Discovery in Clutters for Fast and Accurate Grasp Detection"☆93Updated last year
- ☆33Updated 3 months ago
- Repository containing the YCB object models as URDF files.☆28Updated 2 years ago
- [RA-L 2025 & IROS 2025] FoAR: Force-Aware Reactive Policy for Contact-Rich Robotic Manipulation☆38Updated 3 weeks ago
- High-Level Control Library for Franka Robots with Python and C++ Support☆248Updated 2 weeks ago
- (T-RO 2024) LeTac-MPC: Learning Model Predictive Control for Tactile-reactive Grasping☆42Updated last year
- ☆112Updated 3 years ago
- ☆69Updated last year
- The Power of the Senses: Generalizable Manipulation from Vision and Touch through Masked Multimodal Learning☆39Updated last year
- Official Implementation for "Catch It! Learning to Catch in Flight with Mobile Dexterous Hands"☆118Updated 10 months ago
- PoseIt a multi-modal dataset that contains visual tactile data for holding poses☆14Updated 2 years ago
- Learning Active Force-torque based Policy for Sub-mm Localization of Unseen Holes☆20Updated 2 years ago
- Code for paper, "A Comparison of Imitation Learning Algorithms for Bimanual Manipulation" (Drolet et al., 2024)☆112Updated 8 months ago
- ☆77Updated 4 months ago
- GelSight SDK (including calibration tools)☆29Updated 6 months ago
- This is the official codebase for the paper "Sensor-Invariant Tactile Representation" (ICLR 2025).☆24Updated 2 months ago