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baxter-dmps-obstacle

使用Baxter机械臂做DMPs-Obstacle实验

baxter-motion-planner

Simulate pick-n-place ability of baxter along with obstacle avoidance

baxter_dmp_rl

this is a baxter dmp_rl repository

birl_kitting_experiment

Smach based Kitting Experiment including alvar maker and finite smate machine

dmp_vol_obst

Implementation of Dynamic Movement Primitives (DMPs) in Python 3.5 together with two methods to treat obstacle avoidance

dmpbbo

C++ library for Function Approximation, Dynamical Movement Primitives, and Black-Box Optimization

dmps--avoid

基于DMPs做运动规划

hello-world

This is my first repository.

learning_implicit_distributions

lfd-experiments-iros2019

Code base for the experiments conducted in the paper "Learning by Demonstration and Robust Control of Dexterous In-Hand Robotic Manipulation Skill" by Gokhan Solak and Lorenzo Jamone.

lihang

李航老师《统计学习方法》书中算法代码实现

logic-opt

Object-Centric TAMP in Dynamic Environments

mbpo

Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"

motion-planning-on-baxter

The aim of this project is to implement pick and place motion planning on Baxter robot while avoiding obstacles.

moveit

:robot: The MoveIt motion planning framework

moveit_tutorials

A sphinx-based centralized documentation repo for MoveIt

omg-planner

An Optimization-based Motion and Grasp Planner

onrobot_rg2

pyrobolearn

PyRoboLearn: a Python framework for Robot Learning

robo-cheesecake

An engine for probabilistic movement primitives for a Panda robot from Franka Emika.

robotiq

Robotiq packages (http://wiki.ros.org/robotiq)

ros-project

ROS入门

sdf_tools

Builds 2D signed distance fields from images, 3D signed distance fields from pointclouds, 3D signed distance fields from Octomap, provides a lightweight signed distance field library, message types for signed distance fields, and tools to compress signed distance fields for transport.

solar-gp

This repository hosts the implementation of the Sparse Online Locally Adaptive Regression using Gaussian Processes (SOLAR-GP) algorithm

ss-replan

Online Replanning in Belief Space for Partially Observable Task and Motion Problems

tinyhttpd

Tinyhttpd 是J. David Blackstone在1999年写的一个不到 500 行的超轻量型 Http Server，用来学习非常不错，可以帮助我们真正理解服务器程序的本质。官网:http://tinyhttpd.sourceforge.net

ur_fabrication_control

ur_fabrication_control with ROS industrial

visual-pushing-grasping

Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.

yak

A library for integrating depth images into Truncated Signed Distance Fields.