Exploring Neural Networks and Robotics

This chapter explores the intersection of neural networks, machine learning, and robotics, particularly through the lens of embodied cognition and attractor dynamics. The speaker discusses their interdisciplinary research journey, highlighting practical applications and challenges faced in developing efficient neural network models for neuromorphic hardware. Additionally, they illustrate the integration of dynamic systems in robotic projects, emphasizing the importance of custom programming frameworks for effective navigation and obstacle detection.