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and Hayashibe, M

Published notice on a work cited in the Pith corpus. Exact quotes below. No model judges whether any citation was load-bearing.

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Correction Crossref 1 open · 1 total · 0 disputed
DOI
10.1371/journal.pcbi.1011771
Notice DOI
10.1371/journal.pcbi.1014482
Event date
2026-07-06
Machine twin
JSON

01One-hop citing occurrences

Correction Open
Reflex-Informed Neuromuscular Reinforcement Learning for Muscle-Driven Locomotion

ref [59] · 2609.11733 · notice #10966 · dispute

Raw extraction · citation context

Auke Jan Ijspeert. Central pattern generators for locomotion control in animals and robots: A review.Neural Networks, 21(4):642-653, 2008. S. Koseki, M. Hayashibe, and D. Owaki. Identifying essential factors for energy-efficient walking control across a wide range of velocities in reflex-based musculoskeletal systems.PLOS Computational Biology, 20(1), 2024. doi: 10.1371/journal.pcbi.1011771. Seunghwan Lee, Moonseok Park, Kyoungmin Lee, and Jehee Lee. Scalable muscle-actuated human simulation and control.ACM Transactions on Graphics, 38(4), 2019. Guoping Li, Auke Jan Ijspeert, and Mitsuhiro Hayashibe. AI-CPG: Adaptive imitated central pattern generators for bipedal locomotion learned through reinforced reflex neural networks. IEEE Robotics and Automation Letters, 9(6):5190-5197, 2024.

Parser render (TeX stripped for reading; raw above is the evidence)

Auke Jan Ijspeert. Central pattern generators for locomotion control in animals and robots: A review.Neural Networks, 21(4):642-653, 2008. S. Koseki, M. Hayashibe, and D. Owaki. Identifying essential factors for energy-efficient walking control across a wide range of velocities in reflex-based musculoskeletal systems.PLOS Computational Biology, 20(1), 2024. doi: 10.1371/journal.pcbi.1011771. Seunghwan Lee, Moonseok Park, Kyoungmin Lee, and Jehee Lee. Scalable muscle-actuated human simulation and control.ACM Transactions on Graphics, 38(4), 2019. Guoping Li, Auke Jan Ijspeert, and Mitsuhiro Hayashibe. AI-CPG: Adaptive imitated central pattern generators for bipedal locomotion learned through reinforced reflex neural networks. IEEE Robotics and Automation Letters, 9(6):5190-5197, 2024

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