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The 2D Tile based robot simulation.
In this repository, the implementation of forward and inverse kinematics by redundancy resolution is presented for KUKA on linear axis 7-DOF robot. The Redundancy Resolution includes three methods, which are Jacobian-based (Damped Least Square and Weighted Pseudoinverse), Null Space, and Task Augmentation.
7自由度机械臂仿真-空间站抓取悬浮物体;内容涉及正运动学,D-H 建模,逆运动学数值解,只有位置约束的数值解法,路径规划,RRT,广义三次多项式轨迹规划等等。
Deep Reinforcement Learning for Robotic Pushing and Picking in Cluttered Environment
This is an implementation of the adaptive oscillators and Central Pattern Generators. The attached pdf file and papers describe the hopf oscillaor and CPG using adaptive hopf oscillators
人工智能实践:Tensorflow笔记
Assistive Gym, a physics-based simulation framework for physical human-robot interaction and robotic assistance.
💿 Free software that works great, and also happens to be open-source Python.
Book_3_《数学要素》 | 鸢尾花书:从加减乘除到机器学习;上架;欢迎继续纠错,纠错多的同学还会有赠书!
Massively parallel rigidbody physics simulation on accelerator hardware.
cpg
This the main source code that uses the main STM32 Board to establish SPI Communication that will be used to interface the IMU sensors and the ODrive Motor Controllers
Visual Studio Code extension for enhancing debug capabilities for Cortex-M Microcontrollers
Utilizing a Deep Deterministic Policy Gradient algorithm to train robotic simulations in continuous action space.
DDPG with VREP
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
PyTorch implementations of deep reinforcement learning algorithms and environments
書籍「つくりながら学ぶ!深層強化学習」のサポートリポジトリです
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Deep RL algorithm in pytorch
A (still growing) paper list of Evolutionary Computation (EC) published in some (rather all) top-tier (and also EC-focused) journals and conferences. For EC-focused publications, only Parallel/Distributed EC are covered.
Deep Q learning algorithm written on PyTorch for solving 2D robot arm reacher
Deep Reinforcement Learning
DRLib:A concise deep reinforcement learning library, integrating HER and PER for almost off policy RL algos.
Dtto Robot v1.0 , a modular self-reconfigurable robot
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.