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Brain Robot Interface The development by KAIST creates a fully two-way interface between the brain and a robotized exoskeleton. Unlike ordinary BCIs that can only read brain signals and convert them into commands, this development does two things - it receives signals from the brain and sends back sensory information from the robot. This transforms the exoskeleton into not just "external legs", but an extension of the body that a person can feel. The brain chip reads hundreds of channels of cortical activity, AI algorithms interpret movement intention and transmit the command to the exoskeleton. The robot is equipped with force, moment, and tactile pressure sensors, and this real-time data is encoded into a form that the brain can perceive as sensation. The main complexity is to ensure a stable closed loop, where hundreds of neural channels are processed quickly enough for a person to walk, lift objects, and feel them without delay. The project combines several areas: control of robotized legs, interpretation of movement intentions, creation of "robotic skin" that replaces lost sensitivity, and development of ultra-low-power wireless interfaces for stimulation and recording of neural activity. The KAIST project involves teams working on miniature neuroelectrodes, neuroengineering, AI chips, and rehabilitation robots to assemble everything into a single architecture, as described in the Journal of Neuroscience Research. 🔗 Source: @solid_state_humanity