Robot Locomotion through Tunable Bursting Rhythms using Efficient Bio-mimetic Neural Networks on Loihi and Arduino Platforms-Reference-Cited by-同舟云学术

Robot Locomotion through Tunable Bursting Rhythms using Efficient Bio-mimetic Neural Networks on Loihi and Arduino Platforms

Published:2023-08 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 International Conference on Neuromorphic Systems
language:
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Author:

Vivekanand Vijay Shankaran¹^ORCID,Chopra Samarth¹^ORCID,Hashemkhani Shahin¹^ORCID,Chinnakonda Kubendran Rajkumar¹^ORCID

Affiliation:

1. University of Pittsburgh, Pittsburgh, Pennsylvania, United States

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3589737.3605965

Reference12 articles.

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2. Loihi: A Neuromorphic Manycore Processor with On-Chip Learning

3. Pierre A Guertin . 2009. The mammalian central pattern generator for locomotion. Brain research reviews 62, 1 ( 2009 ), 45--56. Pierre A Guertin. 2009. The mammalian central pattern generator for locomotion. Brain research reviews 62, 1 (2009), 45--56.

4. CHRISTIAN HUBICKI. 2020. Robots That Walk: What the Challenge of Locomotion Says About NextGeneration Manufacturing . In Frontiers of Engineering: Reports on Leading-Edge Engineering from the 2019 Symposium . National Academies Press . CHRISTIAN HUBICKI. 2020. Robots That Walk: What the Challenge of Locomotion Says About NextGeneration Manufacturing. In Frontiers of Engineering: Reports on Leading-Edge Engineering from the 2019 Symposium. National Academies Press.

5. Walking and Running with Passive Compliance: Lessons from Engineering: A Live Demonstration of the ATRIAS Biped

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1. BioNN: Bio-Mimetic Neural Networks on Hardware Using Nonlinear Multi-Timescale Mixed-Feedback Control for Neuromodulatory Bursting Rhythms;IEEE Journal on Emerging and Selected Topics in Circuits and Systems;2023-12