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:
- This is a work in progress repositiory for pushing an object in a cluttered environment☆14Updated 2 years ago
- ☆30Updated last month
- Dexterous Grasping Policy from Point Clouds☆105Updated 2 years ago
- [IROS 2021] Dynamic Grasping with Reachability and Motion Awareness☆79Updated 3 years ago
- ☆42Updated 4 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☆19Updated 3 years ago
- Target-oriented robotic manipulations to grasp an initially invisible target☆59Updated 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
- 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.☆164Updated 2 years ago
- ☆49Updated 4 years ago
- ☆49Updated last year
- Important research papers, blogposts, repos on tactile sensing ( vision-based)☆41Updated 2 years ago
- Deep Interaction Prediction Network with Application to Clutter Removal☆27Updated 4 years ago
- Official codebase for Manipulation Primitive-augmented reinforcement Learning (MAPLE)☆93Updated 2 years ago
- For Visuo-Tactile Transformers for Manipulation☆35Updated 2 years ago
- Code for "Learning to Grasp the Ungraspable with Emergent Extrinsic Dexterity" (CoRL 2022)☆37Updated 2 years ago
- Push-to-See: Learning Non-Prehensile Manipulation to Enhance Instance Segmentation via Deep Q-Learning☆13Updated 3 years ago
- (T-RO 2024) LeTac-MPC: Learning Model Predictive Control for Tactile-reactive Grasping☆40Updated last year
- ☆21Updated 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
- Trajectory optimization for grasping☆59Updated 10 months ago
- Gym-Styled UR5 arm with Robotiq-85 / 140 gripper in Bullet simulator☆270Updated 2 months ago
- ☆103Updated 2 years ago
- [ICRA 2021] AdaGrasp: Learning an Adaptive Gripper-Aware Grasping Policy☆61Updated 4 years ago
- Implementation for ICRA 2021 paper "RGB Matters: Learning 7-DoF Grasp Poses on Monocular RGBD Images"☆71Updated 3 years ago
- [CoRL 2022] Efficient Tactile Simulation with Differentiability for Robotic Manipulation☆87Updated last year
- ☆82Updated 4 years ago
- DexPoint: Generalizable Point Cloud Reinforcement Learning for Sim-to-Real Dexterous Manipulation, CoRL 2022☆91Updated last year