Organic neuromorphic electronics for sensorimotor integration and learning in robotics.
American Association for the Advancement of Science (AAAS)
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Krauhausen, I., Koutsouras, D. A., Melianas, A., Keene, S. T., Lieberth, K., Ledanseur, H., Sheelamanthula, R., et al. (2021). Organic neuromorphic electronics for sensorimotor integration and learning in robotics.. Sci Adv, 7 (50) https://doi.org/10.1126/sciadv.abl5068
In living organisms, sensory and motor processes are distributed, locally merged, and capable of forming dynamic sensorimotor associations. We introduce a simple and efficient organic neuromorphic circuit for local sensorimotor merging and processing on a robot that is placed in a maze. While the robot is exposed to external environmental stimuli, visuomotor associations are formed on the adaptable neuromorphic circuit. With this on-chip sensorimotor integration, the robot learns to follow a path to the exit of a maze, while being guided by visually indicated paths. The ease of processability of organic neuromorphic electronics and their unconventional form factors, in combination with education-purpose robotics, showcase a promising approach of an affordable, versatile, and readily accessible platform for exploring, designing, and evaluating behavioral intelligence through decentralized sensorimotor integration.
External DOI: https://doi.org/10.1126/sciadv.abl5068
This record's URL: https://www.repository.cam.ac.uk/handle/1810/333108
Attribution-NonCommercial 4.0 International
Licence URL: https://creativecommons.org/licenses/by-nc/4.0/