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masac

Multi-Agent SAC on PettingZoo API

mcts_for_behavior_planning

minimum_snap_trajectory_generation

easy sample code for minimum snap trajectory planning in MATLAB

mobile_robots_motion_planning

深蓝学院《移动机器人运动规划》作业代码 - Amos98

modelling-multi-agent-systems-and-games

motion-plan

深蓝运动规划课程

motion-planner

记录自己学习机器人、无人车运动规划与控制算法的历程

motion-planning-for-autonomous-driving-with-mpc

Motion Planning for Autonomous Driving using Model Predictive Control based on CommonRoad Framework.

motion-planning-for-mobile-robots

motion_planning_scripts

Python scripts modeling training and data analysis for decision-making 2022

mpc

Model Predictive Control (MPC) for kinematic bicycle model

mpcc

Model Predictive Contouring Controller (MPCC) for Autonomous Racing

mppi-isaac

Model Predictive Path Integral Control using isaacgym for rollouts, gpu-accelerated

multi-robot-fabrics

multi-vehicle-collaborative-planning-based-on-hybird-a_star

multi_robot_traj_planner

An Efficient Multi-Robot Trajectory Planner for Ground Vehicles.

mycoolpackage.jl

nav_simulator

一个基于Rviz的轻量级ROS导航仿真器

neural-koopman-lyapunov-control

Neural Koopman Lyapunov Control

nmpc_casadi_cpp

use casadi and ipopt solve NMPC problem, implement with ROS node

ocpy

Optimal control solver implemented in Python. SymPy for symbolic differentiation and Numba for fast computation.

optimisation-notes

Lecture notes for Linear and Nonlinear optimisation.

parking

自动泊车算法 混合A* 障碍物约束转化为行车走廊约束的优化与 apollo TDR-OBCA的比较

path_optimizer

Optimization-based real-time path planning for vehicles.

planning-and-decision-making

RO47005 Planning & Decision Making. Quadrotor model planner using probabilistic roadmap (PRM) and collision avoidance using Velocity Obstacles

popular-rl-algorithms

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

pure_pursuit_controller

pure-pursuit algorithm simulation, turtlebot3 model based, path tracking project, C++, ROS

pytorch-drl

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

pytorch_mpc

A light MPC implemented using pytorch

pytorchreinforcementlearningzoo

Repo containing a variety of pytorch algorithms, to be cleaned up and documented in good time