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Neuromorphic Sensing, Perception, and Control for Robotics

  • Bartolozzi C
  • Glover A
  • Donati E
Springer Nature Singapore, (2023), 1635-1665
DOI: 10.1007/978-981-16-5540-1_116
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Abstract

Neuromorphic systems bring a paradigm shift in the way computation is performed in robotics. Traditional computing and deep learning supported the recent progress of robotics, but lack robustness and adaptation to bring robots operating in ever-changing scenarios and...

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Bartolozzi, C., Glover, A., & Donati, E. (2023). Neuromorphic Sensing, Perception, and Control for Robotics. In Handbook of Neuroengineering (pp. 1635–1665). Springer Nature Singapore. https://doi.org/10.1007/978-981-16-5540-1_116

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