There are 2 repositories under robot-manipulation topic.
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
🤖 The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation
Official PyTorch implementation of Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations
Deep learning for grasp detection within MoveIt.
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 codebase for Manipulation Primitive-augmented reinforcement Learning (MAPLE)
Bottom-Up Skill Discovery from Unsegmented Demonstrations for Long-Horizon Robot Manipulation (BUDS)
Handeye calibration for 4DOF manipulators using dual quaternions.
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.
University group project concerning the comparison between the classical and the modified Denavit-Hartenberg convention in Newton-Euler algorithm, and the design of persistently exciting trajectories for the dynamic coefficients identification for the KUKA LWR IV+.
Project concerning the design of trajectories approaching (boundary or internal) singularities, in order to compare the effects of the kinematic controllers based on pseudo-inversion and on Damped Least-Squares.
Human motion trajectory based on the minimum jerk principle and OpenSim model for the human upper limb
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.
University group project concerning the analysis of the redundancy for a planar 3R robot manipulator.
University group project concerning the sensorless estimation of the contact forces between a needle mounted on the end-effector of a robot manipulator and a penetrated tissue, and subsequent prediction of layer ruptures using Recursive Least Squares algorithm.
An gym-compatible environment consists of trifinger robot and a cube
A Vision-Based Odometry Model for Adaptive Human-Robot Systems
Code for the paper Learning Stable Normalizing-Flow Control for Robotic Manipulation, IEEE ICRA, 2021
Franka Panda + IntelRealsense Gazebo ROS simulation
Determining the three-dimensional shape and position of transparent objects for robotic manipulation purposes.
Implementating Visual Servoing for a given Robot for RBE450x Vision Based Robotic Manipulation Course
Topics include function approximation, learning dynamics, using learned dynamics in control and planning, handling uncertainty in learned models, learning from demonstration, and model-based and model-free reinforcement learning.