Robot path planning, mapping and exploration algorithms
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Updated
Feb 24, 2024 - Jupyter Notebook
Robot path planning, mapping and exploration algorithms
Path plan algorithm, include: A*, APF(Artificial Potential Field)
2D multi-source electromagnetic simulations in frequency domain, implementing the augmented partial factorization (APF) and other methods.
3D 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
Sistema de gestão e execução da Análise de Pontos de Função.
Extracts .ppf, .apf and .tpf files from Mort the Chicken
3D multi-source electromagnetic simulations in frequency domain, implementing the augmented partial factorization (APF) and other methods.
Static obstacle avoidance of an e-puck robot using Artificial Potential Fields in Webots environment.
Robotics Projects for the EE451 Introduction to Robotics Course
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