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20190115

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2dtilerobot

The 2D Tile based robot simulation.

7dof-kuka-linear-axis-forward-and-inverse-kinematics

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.

7dof_robot

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。

active-perception

Deep Reinforcement Learning for Robotic Pushing and Picking in Cluttered Environment

adaptive-hopf-oscillator

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

ai-practice-tensorflow-notes

人工智能实践：Tensorflow笔记

aloha

assistive-gym

Assistive Gym, a physics-based simulation framework for physical human-robot interaction and robotic assistance.

awesome-python-applications

💿 Free software that works great, and also happens to be open-source Python.

book3_elements-of-mathematics

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！

brax

Massively parallel rigidbody physics simulation on accelerator hardware.

central-pattern-generator

cpg

chhrobotics

controlsystemmainmcu

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

cortex-debug

Visual Studio Code extension for enhancing debug capabilities for Cortex-M Microcontrollers

ctrl-foc-lite

ddpg-continuous-control

Utilizing a Deep Deterministic Policy Gradient algorithm to train robotic simulations in continuous action space.

ddpg_vrep

DDPG with VREP

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deep-reinforcement-learning-algorithms

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.

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deep-reinforcement-learning-book

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

deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

deep-rl-elements

Deep RL algorithm in pytorch

distributedevolutionarycomputation

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.

dqn-robot-arm

Deep Q learning algorithm written on PyTorch for solving 2D robot arm reacher

drl

Deep Reinforcement Learning

drlib

DRLib：A concise deep reinforcement learning library, integrating HER and PER for almost off policy RL algos.

dtto-modular-robot

Dtto Robot v1.0 , a modular self-reconfigurable robot