Fetching the paper…
Reading the bibliography…
Animals possess a remarkable ability to navigate challenging terrains, achieved through the interplay of various pathways between the brain, central pattern generators (CPGs) in the spinal cord, and musculoskeletal system.
P. S. Stein, Neurons, networks, and motor behavior . MIT press, 1997
1997
Earlier work this paper cites.
L. Vinay, F. Brocard, F. Clarac, J.-C. Norreel, E. Pearlstein, and J.-F. Pflieger, “Development of posture and locomotion: an interplay of endogenously generated activities and neurotrophic actions by descending pathways,” Brain Research Reviews , vol. 40, no. 1-3, pp. 118–129, 2002
2002
Earlier work this paper cites.
L. J. Rygh, A. Tjølsen, K. Hole, and F. Svendsen, “Cellular memory in spinal nociceptive circuitry.” Scandinavian journal of psychology , vol. 43, no. 2, pp. 153–159, 2002
2002
Earlier work this paper cites.
A. Ijspeert, “Locomotion, vertebrate,” The handbook of brain theory and neural networks , pp. 649–654, 2002
2002
Earlier work this paper cites.
M. MacKay-Lyons, “Central pattern generation of locomotion: a review of the evidence,” Physical therapy , vol. 82, no. 1, pp. 69–83, 2002
2002
Earlier work this paper cites.
V. Dietz, “Spinal cord pattern generators for locomotion,” Clinical Neurophysiology , vol. 114, no. 8, pp. 1379–1389, 2003
2003
Earlier work this paper cites.
T. Drew, S. Prentice, and B. Schepens, “Cortical and brainstem control of locomotion,” Progress in brain research , vol. 143, pp. 251–261, 2004
2004
Earlier work this paper cites.
A. J. Ijspeert, A. Crespi, D. Ryczko, and J.-M. Cabelguen, “From swimming to walking with a salamander robot driven by a spinal cord model,” Science , vol. 315, no. 5817, pp. 1416–1420, 2007
2007
Earlier work this paper cites.
H. Hultborn and J. B. Nielsen, “Spinal control of locomotion–from cat to man,” Acta Physiologica , vol. 189, no. 2, pp. 111–121, 2007
2007
Earlier work this paper cites.
A. J. Ijspeert, “Central pattern generators for locomotion control in animals and robots: a review,” Neural networks , vol. 21, no. 4, pp. 642–653, 2008
2008
Earlier work this paper cites.
A. J. Fong, R. R. Roy, R. M. Ichiyama, I. Lavrov, G. Courtine, Y. Gerasimenko, Y. Tai, J. Burdick, and V. R. Edgerton, “Recovery of control of posture and locomotion after a spinal cord injury: solutions staring us in the face,” Progress in brain research , vol. 175, pp. 393–418, 2009
2009
Earlier work this paper cites.
J. Norton, “Changing our thinking about walking,” The Journal of physiology , vol. 588, no. Pt 22, p. 4341, 2010
2010
Earlier work this paper cites.
C. Liu, Q. Chen, and D. Wang, “Cpg-inspired workspace trajectory generation and adaptive locomotion control for quadruped robots,” IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) , vol. 41, no. 3, pp. 867–880, 2011
2011
Earlier work this paper cites.
J. Yu, M. Tan, J. Chen, and J. Zhang, “A survey on cpg-inspired control models and system implementation,” IEEE transactions on neural networks and learning systems , vol. 25, no. 3, pp. 441–456, 2013
2013
Earlier work this paper cites.
A. Saradjian, “Sensory modulation of movement, posture and locomotion,” Neurophysiologie Clinique/Clinical Neurophysiology , vol. 45, no. 4-5, pp. 255–267, 2015
2015
Cited alongside, same era.
J. Li, J. Wang, S. X. Yang, K. Zhou, H. Tang, et al. , “Gait planning and stability control of a quadruped robot,” Computational intelligence and neuroscience , vol. 2016, 2016
2016
Cited alongside, same era.
M. A. Sharbafi and A. Seyfarth, Bioinspired legged locomotion: models, concepts, control and applications . Butterworth-Heinemann, 2017
2017
Cited alongside, same era.
D. Ryczko, S. Grätsch, L. Schläger, A. Keuyalian, Z. Boukhatem, C. Garcia, F. Auclair, A. Büschges, and R. Dubuc, “Nigral glutamatergic neurons control the speed of locomotion,” Journal of Neuroscience , vol. 37, no. 40, pp. 9759–9770, 2017
2017
Cited alongside, same era.
G. Sun and G. Sartoretti, “Joint-space cpg for safe foothold planning and body pose control during locomotion and climbing,” IEEE Robotics and Automation Letters , vol. 7, no. 4, pp. 9889–9896, 2022
2022
Later among the works it cites.
G. Bellegarda and A. Ijspeert, “CPG-RL: Learning central pattern generators for quadruped locomotion,” IEEE Robotics and Automation Letters , vol. 7, no. 4, pp. 12 547–12 554, 2022
2022
Later among the works it cites.
N. Rudin, D. Hoeller, P. Reist, and M. Hutter, “Learning to walk in minutes using massively parallel deep reinforcement learning,” in Conference on Robot Learning . PMLR, 2022, pp. 91–100
2022
Later among the works it cites.
K. Melo, T. Horvat, and A. J. Ijspeert, “Animal robots in the african wilderness: Lessons learned and outlook for field robotics,” Science Robotics , vol. 8, no. 85, p. eadd8662, 2023
2023
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2017
Cited alongside, same era.
A. Biewener and S. Patek, Animal locomotion . Oxford University Press, 2018
2018
Cited alongside, same era.
H. L. More and J. M. Donelan, “Scaling of sensorimotor delays in terrestrial mammals,” Proceedings of the Royal Society B , vol. 285, no. 1885, p. 20180613, 2018
2018
Cited alongside, same era.
S. Grillner and A. El Manira, “Current principles of motor control, with special reference to vertebrate locomotion,” Physiological reviews , 2019
2019
Cited alongside, same era.
S. Grätsch, A. Büschges, and R. Dubuc, “Descending control of locomotor circuits,” Current Opinion in Physiology , vol. 8, pp. 94–98, 2019
2019
Cited alongside, same era.
H. Yoo and D. M. Mihaila, “Neuroanatomy, vestibular pathways,” 2020
2020
Cited alongside, same era.
C. Laschi and B. Mazzolai, “Bioinspired materials and approaches for soft robotics,” Mrs Bulletin , vol. 46, pp. 345–349, 2021
2021
Cited alongside, same era.
A. T. Khan, S. Li, and X. Cao, “Control framework for cooperative robots in smart home using bio-inspired neural network,” Measurement , vol. 167, p. 108253, 2021
2021
Cited alongside, same era.
A. J. Ijspeert and M. A. Daley, “Integration of feedforward and feedback control in the neuromechanics of vertebrate locomotion: a review of experimental, simulation and robotic studies,” Journal of Experimental Biology , vol. 226, no. 15, p. jeb245784, 2023
2023
Later among the works it cites.
A. M. Deshpande, E. Hurd, A. A. Minai, and M. Kumar, “Deepcpg policies for robot locomotion,” IEEE Transactions on Cognitive and Developmental Systems , 2023
2023
Later among the works it cites.
M. Shafiee, G. Bellegarda, and A. Ijspeert, “Puppeteer and marionette: Learning anticipatory quadrupedal locomotion based on interactions of a central pattern generator and supraspinal drive,” 2023 IEEE International Conference on Robotics and Automation , 2023
2023
Later among the works it cites.
R. Dubuc, J.-M. Cabelguen, and D. Ryczko, “Locomotor pattern generation and descending control: a historical perspective,” Journal of Neurophysiology , vol. 130, no. 2, pp. 401–416, 2023
2023
Later among the works it cites.
G. Bellegarda, M. Shafiee, and A. Ijspeert, “Visual CPG-RL: Learning central pattern generators for visually-guided quadruped locomotion,” in 2024 IEEE International Conference on Robotics and Automation (ICRA) , 2024
2024
Closest in time.
2024
Closest in time.
M. Shafiee, G. Bellegarda, and A. Ijspeert, “Manyquadrupeds: Learning a single locomotion policy for diverse quadruped robots,” 2024 IEEE International Conference on Robotics and Automation , 2024
2024
Closest in time.
M. Shafiee, G. Bellegarda, and A. Ijspeert, “Viability leads to the emergence of gait transitions in learning agile quadrupedal locomotion on challenging terrains,” Nature Communications , vol. 15, no. 1, p. 3073, 2024
2024
Closest in time.
U. Robotics, “Unitree a1 - high performance quadruped robot,” https://unitreerobotics.net/robotdog/unitree-a1/, 2024, accessed: 2024-04-23
2024
Closest in time.