Embodied cognition

Related papers: 20

About

Embodied cognition is a theoretical framework holding that intelligence and cognitive processes are not confined to the brain alone but are fundamentally shaped by an agent's physical body and its dynamic interactions with the environment. Rather than treating the mind as an abstract information processor, embodied cognition emphasizes that perception, reasoning, and learning emerge from the continuous loop between bodily action and environmental feedback. In robotics and AI, this principle drives the design of systems that learn through physical interaction rather than purely symbolic computation. Robots like the iCub humanoid platform are explicitly built to explore how a body's sensorimotor capabilities scaffold the development of higher-level skills such as language, social understanding, and manipulation. Embodied approaches also underpin socially assistive robots, evolutionary robotics, and multimodal language models grounded in real-world perception. This framework matters because it offers a more biologically plausible and practically effective path to general intelligence. Systems designed with embodied principles tend to be more adaptive, robust, and capable of natural human interaction—qualities essential for robots operating in complex, unstructured real-world environments.

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