Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation (CoRL 2021)
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Updated
Nov 4, 2021 - Python
Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation (CoRL 2021)
Bottom-Up Skill Discovery from Unsegmented Demonstrations for Long-Horizon Robot Manipulation (BUDS)
Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation
ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation
An gym-compatible environment consists of trifinger robot and a cube
Code for the paper Learning Stable Normalizing-Flow Control for Robotic Manipulation, IEEE ICRA, 2021
This package is an implementation of view-based experience transfer for robot grasping in dense clutter.
Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments (CoRL 2020)
Official codebase for Manipulation Primitive-augmented reinforcement Learning (MAPLE)
An autonomous grasping solution for the Emika Franka Panda robot.
Franka Panda + IntelRealsense Gazebo ROS simulation
Handeye calibration for 4DOF manipulators using dual quaternions.
[IROS 2023] GVCCI: Lifelong Learning of Visual Grounding for Language-Guided Robotic Manipulation
A research toolbox for prototyping robot manipulation environments and applications.
Python scripts for Blender's scripting API to generate logic geometric puzzles utilizing the Phobos (https://github.com/dfki-ric/phobos) add-on for Blender.
Implementations of reinforcement learning
[RSS 2024] Learning Manipulation by Predicting Interaction
Point Cloud Matters: Rethinking the Impact of Different Observation Spaces on Robot Learning
Official PyTorch implementation of Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
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