Path Planning
Showing 14 of 14 projects
A comprehensive collection of Python sample codes and a textbook for robotics algorithms, covering localization, mapping, SLAM, path planning, and control.
A Python code collection and textbook for robotics algorithms, featuring implementations for localization, mapping, SLAM, path planning, and control.
A production-grade navigation framework for autonomous mobile robots built on ROS 2.
An open-source sampling-based motion planning library with over 40 algorithms and SIMD-accelerated performance for robotics and autonomous systems.
A real-time Hybrid A* path planner for nonholonomic autonomous vehicles, generating smooth, efficient paths in unstructured environments.
An optimal trajectory planner for mobile robots using Timed Elastic Bands to optimize paths considering time, obstacles, and kinodynamic constraints.
A CUDA-accelerated library for rapid 3D data processing in robotics, enabling GPU-powered SLAM, collision avoidance, and path planning.
A ROS-based motion-primitives planner for fast and agile autonomous exploration with aerial robots.
An open-source full-stack ROS-based software for self-driving applications in low-speed urban environments.
A C++ implementation of Rapidly-exploring Random Tree (RRT) algorithm with an interactive Qt-based viewer.
A greedy path planning tool that optimizes SVG files for more efficient pen plotting by sorting drawing paths.
A ROS 2 package providing waypoint management and path-following control nodes for autonomous vehicles and robots.
A Python package for planning and executing robotic fabrication processes within the COMPAS Framework.
A ROS2 package providing a modular manipulation pipeline for rapid digitization of robotic work cells and efficient manipulator path-planning.
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