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pomdps.jl

MDPs and POMDPs in Julia - An interface for defining, solving, and simulating discrete and continuous, fully and partially observable Markov decision processes.

pvio

Robust and Efficient Visual-Inertial Odometry with Multi-plane Priors

pydiffgame

Coupled Differential Matrix Riccati Equation Solver for Differential Games

pythonrobotics

Python sample codes for robotics algorithms.

qmc-decoder

Fastest & best convert qmc 2 mp3 | flac tools

rbpf-gmapping

MatLab implementation of a Rao-Blacwellized Particle Filter for Grid- Based FastSlam

reinforcement-learning-car

Using reinforcement learning to teach a car to avoid obstacles.

rfq-rfac

Represented Value Function Approach for Large Scale Multi Agent Reinforcement Learning

rgbdslam_v2

RGB-D SLAM for ROS Hydro

ros_canopen

CANopen driver framework for ROS (http://wiki.ros.org/ros_canopen)

ros_robotics_projects

Example codes of new book ROS Robotics Projects

rosplane

A basic fixed-wing autopilot for ROS - based on the textbook "Small Unmanned Aircraft: Theory and Practice" by Randy Beard and Tim McLain

rpg_svo_example

Example node to use the SVO Installation.

sc-lego-loam

LiDAR SLAM: Scan Context + LeGO-LOAM

scikit-learn

scikit-learn: machine learning in Python

scriptcommunicator_serial-terminal

Scriptable cross-platform data terminal which supports: serial port, UDP, TCP, SPI, I2C and CAN.

sdklayout

Win32SDK界面控件自动布局

sersync

rsync+inotify-tools

sick_ldmrs_laser

A ROS driver for the SICK LD-MRS series of laser scanners.

slam

slam源码分析

slambook

stanford_self_driving_car_code

Stanford Code From Cars That Entered DARPA Grand Challenges

stanforddoggoproject

startbootstrap-clean-blog-jekyll

A Jekyll version of the Clean Blog theme by Start Bootstrap

taichi

The Taichi programming language

task_allocation

ROS package for multi robot task allocation

time-series-analysis-tutorial

时间序列分析教程

trimesh2

C++ library and set of utilities for input, output, and basic manipulation of 3D triangle meshes

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

unscented-kalman-filter

Utilize an Unscented Kalman Filter to estimate the state of a moving object of interest with noisy Lidar and Radar measurements