xukechun / Efficient_goal-oriented_push-grasping_synergyLinks
[RAL & IROS 2021] Efficient learning of goal-oriented push-grasping synergy in clutter
☆78Updated 3 years ago
Alternatives and similar repositories for Efficient_goal-oriented_push-grasping_synergy
Users that are interested in Efficient_goal-oriented_push-grasping_synergy are comparing it to the libraries listed below
Sorting:
- [IROS 2021] Dynamic Grasping with Reachability and Motion Awareness☆74Updated 3 years ago
- ☆30Updated last month
- Target-oriented robotic manipulations to grasp an initially invisible target☆58Updated 2 years ago
- This is a work in progress repositiory for pushing an object in a cluttered environment☆14Updated 2 years ago
- ☆42Updated 4 years ago
- Dexterous Grasping Policy from Point Clouds☆104Updated 2 years ago
- Learning Active Force-torque based Policy for Sub-mm Localization of Unseen Holes☆19Updated 2 years ago
- Cluttered-Scene 6D Grasping with Latent Plans☆18Updated 3 years ago
- Learning to Fill the Seam by Vision: Sub-millimeter Peg-in-hole on Unseen Shapes in Real World☆38Updated 2 years ago
- Suite of PyBullet reinforcement learning environments targeted towards using tactile data as the main form of observation. This repo has …☆22Updated 2 years ago
- Deep Interaction Prediction Network with Application to Clutter Removal☆26Updated 4 years ago
- ☆49Updated 4 years ago
- This contains the simulation of a kinova robot and the code for collecting data and training both a grasp classifier and a RL agent☆29Updated 3 years ago
- Code for "Learning to Grasp the Ungraspable with Emergent Extrinsic Dexterity" (CoRL 2022)☆37Updated 2 years ago
- Gym-Styled UR5 arm with Robotiq-85 / 140 gripper in Bullet simulator☆265Updated last month
- Push-to-See: Learning Non-Prehensile Manipulation to Enhance Instance Segmentation via Deep Q-Learning☆13Updated 3 years ago
- ☆49Updated last year
- ☆21Updated 4 years ago
- Important research papers, blogposts, repos on tactile sensing ( vision-based)☆41Updated 2 years ago
- Implementation for ICRA 2021 paper "RGB Matters: Learning 7-DoF Grasp Poses on Monocular RGBD Images"☆70Updated 3 years ago
- Suite of PyBullet reinforcement learning environments targeted towards using tactile data as the main form of observation.☆162Updated 2 years ago
- [ICRA 2021] AdaGrasp: Learning an Adaptive Gripper-Aware Grasping Policy☆61Updated 4 years ago
- For Visuo-Tactile Transformers for Manipulation☆33Updated 2 years ago
- ☆103Updated 2 years ago
- DexPoint: Generalizable Point Cloud Reinforcement Learning for Sim-to-Real Dexterous Manipulation, CoRL 2022☆90Updated last year
- Learning Deformable Object Manipulation from Expert Demonstrations (RA-L, IROS 2022)☆28Updated 10 months ago
- [CoRL 2022] Efficient Tactile Simulation with Differentiability for Robotic Manipulation☆87Updated last year
- ☆14Updated 2 years ago
- Trajectory optimization for grasping☆55Updated 9 months ago
- Collection of urdf models (including part of YCB dataset). Made for robot manipulation and grasping simulation, tested with PyBullet.☆123Updated 6 months ago