Obstacle Avoidance Behavior Acquired Using Neural Q Learning Algorithm Simulation

By Editorial Team · September 28, 2026 · 5 min read

Obstacle Avoidance Behavior Acquired Using Neural Q Learning Algorithm Simulation Information Guide

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Background on Obstacle Avoidance Behavior Acquired Using Neural Q Learning Algorithm Simulation

Obstacle Avoidance Behavior Acquired using Neural Q-Learning Algorithm (Simulation) News
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Key Details

Information Wall following and obstacle avoidance using Q-Learning (Reinforcement Learning) Update
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Full Obstacle Avoidance Behavior Acquired using Neural Q-Learning Algorithm (Validation on Actual Robot) News
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Wall Following Behavior Acquired using Neural Q-Learning Algorithm (Simulation)
Wall Following Behavior Acquired using Neural Q-Learning Algorithm (Simulation)
Alice rover: Learning obstacle avoidance example
Alice rover: Learning obstacle avoidance example
Obstacle Avoidance using Q learning
Obstacle Avoidance using Q learning
Obstacle Avoidance using Deep Q learning
Obstacle Avoidance using Deep Q learning
Final Project - Q Learning with Obstacles
Final Project - Q Learning with Obstacles
After 3 hours of Q Learning algorithm simulation on Webots
After 3 hours of Q Learning algorithm simulation on Webots
Khepera III robot learning to follow wall using Q-Learning algorithm.
Khepera III robot learning to follow wall using Q-Learning algorithm.
AI Learns to Avoid Obstacles in a Simulated Environment using Reinforcement Learning
AI Learns to Avoid Obstacles in a Simulated Environment using Reinforcement Learning
Obstacle avoidance with a neural network : first try
Obstacle avoidance with a neural network : first try
Obstacle Avoidance Algorithm
Obstacle Avoidance Algorithm
Wall Following Behavior Acquired using Neural Q-Learning Algorithm (Validation on Actual Robot)
Wall Following Behavior Acquired using Neural Q-Learning Algorithm (Validation on Actual Robot)

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Last Updated: September 28, 2026

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Reinforcement Learning for obstacle avoidance Guide
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Summary

Researchers: Wen Lik Dennis Lui and Velappa Ganapathy Summary: This video shows the BYU CS 470 Final Project Demonstration. In this Video I demonstrated an AI used to train a group of agents to avoid This short video details the methods and results from a model predictive control based

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