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Titel:

Neuromorphic force-control in an industrial task: validating energy and latency benefits

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Amaya, Camilo; Eames, Evan; Palinauskas, Gintautas; Perzylo, Alexander; Sandamirskaya, Yulia; von Arnim, Axel
Abstract:
As robots become smarter and more ubiquitous, optimizing the power consumption of intelligent compute becomes imperative towards ensuring the sustainability of technological advancements. Neuromorphic computing hardware makes use of biologically inspired neural architectures to achieve energy and latency improvements compared to conventional von Neumann computing architecture. Applying these benefits to robots has been demonstrated in several works in the field of neurorobotics, typically on rel...     »
Kongress- / Buchtitel:
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Verlagsort:
Abu Dhabi, UAE
Jahr:
2024
Monat:
Oct
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