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artificial-potential-field

APF for multi-robot formation. (Refer to ICRA2000 paper "Social Potentials for Scalable Multi-Robot Formations")

artificial-potential-field-matlab

building-industrial-digital-twin

Building Industrial Digital Twin - Packt Publishing

deeplearning_from_scratch

밑바닥부터 시작하는 딥러닝 정리

dsqnet-public

[2022 T-ASE] DSQNet: A Deformable Model-Based Supervised Learning Algorithm for Grasping Unknown Occluded Objects

gym

A toolkit for developing and comparing reinforcement learning algorithms.

incrementalconvexhull2d

ir-drl

A training and testing platform for Industrial Robot applications.

isaac_ros_visual_slam

Visual odometry package based on hardware-accelerated NVIDIA Elbrus library with world class quality and performance.

jupyter-ros2

Jupyter widget helpers for ros2, the Next-Generation of the Robot Operating System

kuka-lwr

Software related to the KUKA LWR 4+: for real and for simulation.

lerobot

🤗 LeRobot: State-of-the-art Machine Learning for Real-World Robotics in Pytorch

moveit

:robot: The MoveIt motion planning framework

moveit_grasps

Geometric grasping generator library for cuboids

moveit_pr2

MoveIt! Packages for PR2

moveit_tutorials

A sphinx-based centralized documentation repo for MoveIt

mpc-mpnet-py

mpnet

Motion Planning Networks

notero

A Zotero plugin for syncing items into Notion

omniisaacgymenvs-ur10reacher

UR10 Reacher Reinforcement Learning Sim2Real Environment for Omniverse Isaac Gym/Sim

ompl

The Open Motion Planning Library (OMPL)

path-planning-algorithms

Bi-RRT and Artificial Potential Function (APF) in python

project_ifac_2020

Repository dedicated to the implementation of Adaptive Artificial Potential Fields by Zhang (2017) for the UR5 robotic manipulator in ROS. A new method for controlling UR5 orientation using Artificial Potential Field is proposed.

rb-rovi

A vision-based pick and place pipeline (the robotics and computer vision (ROVI) system) based on a workcell which is established within ROS/Gazebo dynamic simulation environment, consisting of a UR5 manipulator mounted onto a specialized table with designated pick and place areas, equipped with various perception sensors.

reinforcement-learning-kr

[파이썬과 케라스로 배우는 강화학습] 예제

rgexplainer_new

Editing codebase for the paper Reinforcement Learning Enhanced Explainer for Graph Neural Networks

rlfrombasics

provides all the codes from the book "RL from basics(바닥부터 배우는 강화학습)"

robot_link_collision_apf

SDU_Project in advance Robotics

robotics-3d-potential-fields

ros

<ROS로 배우는 로봇 프로그래밍> 리포지토리