🧬Creatures are created using 2D shapes and joints in a physics engine.
👣The AI-controlled creatures learn to walk through an evolutionary algorithm.
💥Improvements were made to the physics engine and algorithm to enhance efficiency and movement capabilities.
🤖The AI-controlled creatures perceive their environment through joint angles, speed, touch, and rotation.
👽The AI-controlled creatures evolve and learn to walk upright through generational iterations.
How are the creatures created?
—The creatures are created using 2D shapes and joints in a physics engine.
How do the creatures learn to walk?
—The creatures learn to walk through an evolutionary algorithm.
What improvements were made to the physics engine and algorithm?
—Improvements were made to enhance efficiency and movement capabilities.
How do the creatures perceive their environment?
—The creatures perceive their environment through joint angles, speed, touch, and rotation.
How do the creatures evolve?
—The creatures evolve and learn to walk upright through generational iterations.
00:00Introduction and overview of the topic. Mention of the evolutionary algorithm and physics engine.
02:30Explanation of the improvements made to the physics engine and algorithm.
05:45Demonstration of the AI-controlled creatures' movement and behavior.
08:20Discussion on the AI-controlled creatures' perception of their environment.
10:30Showcasing the evolution of walking behavior in the AI-controlled creatures.
