Robot path planning, mapping and exploration algorithms
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Updated
Mar 6, 2025 - Jupyter Notebook
Robot path planning, mapping and exploration algorithms
Path plan algorithm, include: A*, APF(Artificial Potential Field)
3D multi-source electromagnetic simulations in frequency domain, implementing the augmented partial factorization (APF) and other methods.
2D multi-source electromagnetic simulations in frequency domain, implementing the augmented partial factorization (APF) and other methods.
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*).
Seminar on MPC based Path Tracking using Potential Field for Autonomous Mobile Robots
Single- and multi-robot path planning based on Artificial Potential Fields.
Artificial Potential Field algorithm, implemented on drone, compatible with ROS, MAVROS, PX4-Autopilot.
Beach Buggy Racing mod tool - edit .apf files, powerups, textures, repack. Free.
Sistema de gestão e execução da Análise de Pontos de Função.
Extracts .ppf, .apf and .tpf files from Mort the Chicken
Comparative benchmark of 14 representative path-planning algorithms with multi-scenario visualization and GIF demos in Python.
Détection et évitement d'obstacles par vision robotique...
Static obstacle avoidance of an e-puck robot using Artificial Potential Fields in Webots environment.
Supervisory control system for mobile robots using YOLOv8-based gain scheduling for Artificial Potential Field (APF) navigation in unknown environments.
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