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这是一个基于gazebo的多机器人协同仿真程序框架,目前可加载6个小机器人,并且分别搭载了单线激光雷达、深度摄像头、GPS、IMU和里程计和UWB等传感器。
[ICRA19] Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning
31 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
Self-Learning Exploration and Mapping for Mobile Robots via Deep Reinforcement Learning
Task assignment and planning for multi-robot formation
Some Gazebo plugins to simulate UWB and magnetic sensors.
Estimates pose, velocity, and accelerometer / gyroscope biases by fusing GPS position and/or 6DOF pose with IMU data. The fusion is done using GTSAM's sparse nonlinear incremental optimization (ISAM2). The ROS (rospy) node is implemented using GTSAM's python3 inteface.
A repository of high-performing hierarchical reinforcement learning models and algorithms.
This is a node for ROS1 that collects metrics about cpu usage and publishes them to a topic to be pushed to CloudWatch Metrics.
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
Maximizing algebraic connectivity for graph sparsification
Gitbook
A decentralized, coordinate-free simulation of path planning, and shape-formation control of mobile robots in the complex plane building upon work from Z. Lin et al (2016). All code is original and was reverse-engineered from the original papers by Zhiyun Lin et al.
progress of 2d multiple robot feature SLAM
Multiboat minimum makespan formation planning
monitor the cpu memory I/O of the agent
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
A high-performance distributed training framework for Reinforcement Learning
The "Python Machine Learning (2nd edition)" book code repository and info resource
Optimal Reciprocal Collision Avoidance, Python bindings
Track Advancement of SLAM 跟踪SLAM前沿动态【ICRA2019已更】
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Estimation of 2D odometry based on planar laser scans. Useful for mobile robots with innacurate base odometry. For full description of the algorithm, please refer to: Planar Odometry from a Radial Laser Scanner. A Range Flow-based Approach. ICRA 2016 Available at: http://mapir.isa.uma.es/mapirwebsite/index.php/mapir-downloads/papers/217
Implementation of the paper "Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning"
Python Implementation of Reciprocal Velocity Obstacle for Multi-agent Systems
The program of multiple robot project running in slave 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.