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2018xjtu_rm_infantry_code

XJTU_RM_2018

add--planner

brain

Brain for AlphaBot!

cartographer

cartographer_turtlebot

Using leishen 2d lidar and turtlebot to cartographer slam.

collision-avoidance-with-drl

利用深度强化学习的方法实现多智能体间离散无交流的障碍避免。其中强化学习算法训练模型所需的数据集由最优互惠碰撞避免(Optimal Reciprocal Collision Avoidance， ORCA)算法生成。

cpprobotics

cpp implementation of robotics algorithms including localization, mapping, SLAM, path planning and control

crazyflie_ros

ROS Driver for Bitcraze Crazyflie

cy-ros-pkg

decawave_driver

Driver reads distance values from DecaWave TREK1000 modules and publishes a `snowmower_msgs\DecaWaveMsgs.msg` on the topic `decawave/dist`.

depthimage_to_laserscan

Converts a depth image to a laser scan for use with navigation and localization.

dstar-lite-on-ros-turtlebot

D* lite motion planning algorithm, Robot OS, Turtlebot

dstar_lite-global-planner

dstart_lite_global_planner

eband_local_planner

ROS Local planner based on the eband approach. Based on the original implementation by Christian Connette and Bhaskara Marathi. This local planner has been adapted primarily for differential drive robots, but still supports the original holonomic drive controls.

hawk

visualized crawler & ETL IDE written with C#/WPF

higra-notebooks

Demonstration and tutorial notebooks for the Higra library

hybrid_a_star

本仓库是对混合A*算法的matlab复现

ipath

Automatically exported from code.google.com/p/ipath

kalmanmpu6050

A Kalman filter library for usage with Arduino and MPU6050. Based on https://github.com/TKJElectronics/KalmanFilter and https://github.com/TKJElectronics/Example-Sketch-for-IMU-including-Kalman-filter.

libdw1000

Driver for DW1000

lps-ros

Bitcraze LPS ROS driver

master_thesis_local_planning_algorithms_in_ros

The main goal of this work is to compare several local planning algorithms (planners). The assumption is to compare, two algorithms which are already implemented in ROS environment and two selected motion planning algorithms. Based on the performed research of the available motion planning approaches, two algorithms have been selected, Potential field based algorithm and BUG0 algorithm (Chapters 2-3). In order to achieve the main goal of this master thesis, the whole test environment based on ROS has been created. The Gazebo2 simulator and the Pioneer 3-DX robot model have been used in that order. The Gazebo2 simulator and the robot model have been configured with the ROS environment compatibility (Chapter 4). Selected algorithms have been implemented in Python 2.7 programming language. Implemented algorithms and ROS algorithms have been configured with previously created test environment (Chapters 5-6). The robot working area became the rectangular building wit dimensions, 100x30[m]. About 40 obstacles, with different size, have been created in the building (Chapter 7.1). Next, the tests have been performed, in the prepared working area, in order to obtain the optimal parameters sets for each algorithm.

mecanumbot-ros-pkg

A ROS package for the Mecanumbot robot.

nefu-ares-vison-robomaster2018

东北林业大学Ares机器人战队在Robomaster 2018赛季计算机视觉部分完整代码

ominiwheel_arduino_ros

openbook9

opencr

Software for ROS Embedded board (a.k.a. OpenCR). OpenCR means Open-source Control Module for ROS.

opencr-hardware

path-planning

path_planning

A path planning algorithm based on RRT implemented using ROS.