Project Overview
The "Dexterous Tree" robot is a segmented pillar with a neural network that developed using evolutionary techniques to dodge objects in its environment when falling. This project explores how evolutionary algorithms can train neural networks for dynamic obstacle avoidance and adaptive movement in robotic systems.