Multi-agent motion planning packages (HDSM method)
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Updated
Jun 12, 2024 - C++
Multi-agent motion planning packages (HDSM method)
An Efficient Planner for Fast Aerial Coverage
An Efficient Planner for Fast Aerial Coverage (ICRA 2024 Best UAV Paper Award Finalist)
Generalized Splines for Motion Optimization in C++ and python3
adam implements a collection of algorithms for calculating rigid-body dynamics in Jax, CasADi, PyTorch, and Numpy.
Generalized Splines for Motion Optimization in C++ and python3
ROS Interface for the Tesseract Planning Environment.
Dockerized ROS2 stack for the the WATonomous Autonomous Driving Software Pipeline
Crocoddyl is an optimal control library for robot control under contact sequence. Its solver is based on various efficient Differential Dynamic Programming (DDP)-like algorithms
A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives
A Flexible Framework for Robot visualization and programming in Python
A Sample Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning
Motion planning and Navigation of AGV/AMR:ROS planner plugin implementation of A*, JPS, D*, LPA*, D* Lite, Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, PSO, Voronoi, PID, LQR, MPC, DWA, APF, Pure Pursuit etc.
Webots ROS 2 packages
ROS2 Potential Function package
The Arm Commander is a library providing an enhanced interface for robot arm manipulation. It is designed to wrap around a robot arm movement planner (i.e. robotic manipulation platforms) such as Moveit
A lightweight learning-based trajectory optimization framework.
The project focuses on motion planning for a wide range of robotic structures using deep reinforcement learning (DRL) algorithms to solve the problem of reaching a static or random target within a pre-defined configuration space.
A project to automate driving in SCS Software's Euro Truck Simulator 2.
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