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Unraveling Robot Intelligence
This chapter examines the core processes that enable robots to perceive their surroundings, make decisions, and execute actions in a feedback loop. It highlights the integration of AI with real-world simulations to improve robotic learning, focusing on advancements in autonomous vehicles and physical AI applications. The discussion also explores the importance of multimodal sensory information and the potential for robots to enhance their understanding of the physical world through sophisticated training techniques.