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pure-pursuit

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ros_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.

  • Updated May 1, 2024
  • C++

This repo implemented the core technology of the self-driving car, including the basic concepts such as path tracking, path planning, SLAM, etc., and deep learning techniques such as computer vision and reinforcement learning. Finally, we practiced with NVIDIA JetBot in both the simulator and the real world.

  • Updated Sep 27, 2021
  • Jupyter Notebook

Our autonomous ground vehicle uses Frontier Based exploration to navigate and map unknown environments. Equipped with sensors, it can avoid obstacles and make real-time decisions. It has potential applications in search and rescue, agriculture, and logistics, and represents an important step forward in autonomous ground vehicle development.

  • Updated Feb 27, 2023
  • Python

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