Autonomous Luna by IntuiCell represents a breakthrough in robotics by learning to stand, walk, and move without pre-programmed instructions. Instead, it mimics human-like learning by exploring and adapting within its environment. The robot dog utilizes a unique neural network known as 'digital nervous systems,' allowing it to improve through interaction. During testing, it demonstrates the capacity for self-correction after falls, learning from each attempt. Luna embodies a form of artificial intelligence that evolves through a trial-and-error process, adjusting to various surfaces like blocks of ice, showcasing its innovative design and potential for autonomous learning.
The autonomous robot dog Luna learns to move independently, adapting to its environment through exploration without relying on pre-programmed instructions.
Luna's 'digital nervous system' allows it to improve as it interacts with the environment, mimicking the learning process of animals.
Unlike traditional robots, Luna's system is designed to 'fall and learn from the experience,' enhancing its ability to stand and walk.
Through trial and error, Luna figures out how to balance and move, demonstrating self-learning by adjusting its actions after each attempt.
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