Citation notice #10966 · 2026-09-11 06:32:47.709086+00:00
Reflex-Informed Neuromuscular Reinforcement Learning for Muscle-Driven Locomotion
cites and Hayashibe, M, which carries a correction notice dated 2026-07-06. One-hop deterministic notice: the citation edge exists in the Pith bibliography graph; no model judged whether the citation was load-bearing.
Citing paper Event page Original DOI Notice DOI File a formal challenge All reference changes
01Evidence
Raw extraction · citation context · bibliography index 59
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
02Event
- Type
- Correction
- Source
- Crossref
- Original DOI
- 10.1371/journal.pcbi.1011771
- Notice DOI
- 10.1371/journal.pcbi.1014482
- Date
- 2026-07-06
- Title
- Correction: Identifying essential factors for energy-efficient walking control across a wide range of velocities in reflex-based musculoskeletal systems
- Reasons
- ['Correction']
- Work
- and Hayashibe, M (?)
03Dispute this notice
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