starry's repositories
6axismodel
IK FK and motion planning of a 6 axis robot arm
bottleneck_guided_rrt
This project consists of C++ implementations of a 3D Rapidly Exploring Random Tree and three other extensions called RRT*, Execution Extended RRT and Synchronised Greedy Biased RRT. It also includes a heuristically guided RRT* with biased sampling towards relevant bottleneck points predicted by a 3D CNN(modified VoxNet in Tensorflow).
CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
DeepRL-UR-motion-planning
Simulate Universal Robot Arm and compare different DeepRL approaches for picking cube
dgpmp2
Differentiable Gaussian Process Motion Planning
differentiable-robot-model
We are implementing differentiable models of robot manipulators, which allows us to learn typically assumed to be known models of robots for control and motion planning.
dm_robotics
Libraries, tools and tasks created and used at DeepMind Robotics.
exotica
Extensible Optimization Framework
guyueclass
古月学院课程代码
hello-starry
Config files for my GitHub profile.
InterviewGuide
🔥🔥「InterviewGuide」是阿秀从校园->职场多年计算机自学过程的记录以及学弟学妹们计算机校招&秋招经验总结文章的汇总，包括但不限于C/C++ 、Golang、JavaScript、Vue、操作系统、数据结构、计算机网络、MySQL、Redis等学习总结，坚持学习，持续成长！
Klampt
Kris' Locomotion and Manipulation Planning Toolkit
MotionExplorer
Visualizing the structure of planning problems using local-minima trees
movement_primitives
Dynamical movement primitives (DMPs), probabilistic movement primitives (ProMPs), spatially coupled bimanual DMPs.
open-robotics
开源机器人学（Open Robotics）是一个帮助机器人学习者入门的开源项目。
PathBench
Motion Planning Platform for classic and machine learning-based algorithms.
pybullet_ompl
Simple OMPL motion planning interface for Pybullet
python-fcl
Python binding of FCL library
PythonRobotics
Python sample codes for robotics algorithms.
rlkit
Collection of reinforcement learning algorithms
robosuite
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
safeMotions
Learning Collision-free and Torque-limited Robot Trajectories based on Alternative Safe Behaviors
SoftActorCriticVanilla3D
(ICASSP 2022) This is the implementation of the Vanilla soft Actor-Critic with MLPs for Value function approximation (Vanilla SAC) to support the claims of the paper entitled "Deep Actor-Critic for Continuous 3D Motion Control in Mobile Relay Networks, submitted to the International Conference of Acoustics, Speech and Signal Processing (ICASSP), 2022