[2206.11222] Reservoir Computing in robotics: a review
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Computer Science > Robotics

arXiv:2206.11222 (cs)
[Submitted on 6 Jun 2022]

Title:Reservoir Computing in robotics: a review

Authors:Paolo Baldini
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Abstract:Reservoir Computing is a relatively new framework created to allow the usage of powerful but complex systems as computational mediums. The basic approach consists in training only a readout layer, exploiting the innate separation and transformation provided by the previous, untrained system. This approach has shown to possess great computational capabilities and is successfully used to achieve many tasks. This review aims to represent the current 'state-of-the-art' of the usage of Reservoir Computing techniques in the robotic field. An introductory description of the framework and its implementations is initially given. Subsequently, a summary of interesting applications, approaches, and solutions is presented and discussed. Considerations, ideas and possible future developments are proposed in the explanation.
Subjects: Robotics (cs.RO); Emerging Technologies (cs.ET)
Cite as: arXiv:2206.11222 [cs.RO]
  (or arXiv:2206.11222v1 [cs.RO] for this version)
  https://doi.org/10.48550/arXiv.2206.11222

Submission history

From: Paolo Baldini [view email]
[v1] Mon, 6 Jun 2022 07:00:33 UTC (153 KB)
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