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path-planning-algorithm

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This project is mainly about testing different path planning techniques in a certain world full of obstacles and how turtlebot3 managed to get to the goal position. It tackles 3 path planning technquies which are ( Artificial potential field (APF), Breadth first search (BFS), A*).

  • Updated May 16, 2021
  • Python

A modular SLAM system combining Particle Filter-based localization, Occupancy Grid Mapping (OGM), Dynamic Window Approach (DWA) for real-time obstacle avoidance, and D* Lite for global path replanning. This project integrates both probabilistic mapping and real-time motion planning, suitable for research and educational use in robotics.

  • Updated Jul 16, 2025
  • Python

Project page and visual results for our Ocean Engineering paper on GPU-accelerated, collision-free path planning of underwater gliders in time-varying currents using MadDE-NDA.

  • Updated Aug 6, 2026
  • JavaScript

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