Evolving Robotics Project

This repository contains lecture transcripts and processing tools for an Evolutionary Robotics course. The course covers a comprehensive range of topics in evolutionary robotics, from fundamental concepts to advanced applications.

Course Content

The course includes lectures on:

• Artificial Intelligence History
• Embodied Cognition
• Artificial Neural Networks
• Evolutionary Algorithms
• Physical Simulation
• Continuous Time Recurrent Neural Networks (CTRNNs)
• Minimal Cognition
• Active Categorical Perception
• Bipedal Locomotion
• Modularity
• NEAT/HyperNEAT Algorithms
• Reality Gap in Robotics
• The GOLEM Project
• Resilient Machines
• Transferability in Robotics
• Twitch Plays Robotics
• Evolution of Teamwork and Communication
• Soft Robotics
• Biological Robots (Xenobots)

Tools

Transcript Processing

The repository includes a Python script (main.py) that processes VTT format lecture transcripts into plain text. The script:

• Removes timestamps and formatting tags
• Eliminates duplicate lines
• Organizes content by lecture
• Outputs clean, readable text

Usage

To process the lecture transcripts:

python main.py

This will generate a cleaned transcript file named cleaned_output_plain.txt.