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Learning to Walk: Spike Based Reinforcement Learning for Hexapod Robot
  Central Pattern Generation

Learning to Walk: Spike Based Reinforcement Learning for Hexapod Robot Central Pattern Generation

International Conference on Artificial Intelligence Circuits and Systems (ICAICS), 2020
22 March 2020
A. Lele
Yan Fang
Justin Ting
A. Raychowdhury
ArXiv (abs)PDFHTML

Papers citing "Learning to Walk: Spike Based Reinforcement Learning for Hexapod Robot Central Pattern Generation"

9 / 9 papers shown
Learning Natural and Robust Hexapod Locomotion over Complex Terrains via Motion Priors based on Deep Reinforcement Learning
Learning Natural and Robust Hexapod Locomotion over Complex Terrains via Motion Priors based on Deep Reinforcement Learning
Xin Liu
Jinze Wu
Yinghui Li
Chenkun Qi
Yufei Xue
Feng Gao
179
0
0
05 Nov 2025
LAURON VI: A Six-Legged Robot for Dynamic Walking
LAURON VI: A Six-Legged Robot for Dynamic Walking
Christian Eichmann
Sabine Bellmann
Nicolas Hügel
Louis-Elias Enslin
Carsten Plasberg
G. Heppner
A. Roennau
Ruediger Dillmann
117
0
0
11 Aug 2025
Growable and Interpretable Neural Control with Online Continual Learning for Autonomous Lifelong Locomotion Learning Machines
Growable and Interpretable Neural Control with Online Continual Learning for Autonomous Lifelong Locomotion Learning MachinesThe international journal of robotics research (IJRR), 2025
Arthicha Srisuchinnawong
Poramate Manoonpong
CLLLRM
380
3
0
17 May 2025
An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning
An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion LearningIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2025
Arthicha Srisuchinnawong
Poramate Manoonpong
224
3
0
18 Jan 2025
Evolving Connectivity for Recurrent Spiking Neural Networks
Evolving Connectivity for Recurrent Spiking Neural NetworksNeural Information Processing Systems (NeurIPS), 2023
Guan-Bo Wang
Yuhao Sun
Sijie Cheng
Sen Song
265
13
0
28 May 2023
Solving the Spike Feature Information Vanishing Problem in Spiking Deep
  Q Network with Potential Based Normalization
Solving the Spike Feature Information Vanishing Problem in Spiking Deep Q Network with Potential Based NormalizationFrontiers in Neuroscience (Front. Neurosci.), 2022
Yinqian Sun
Yi Zeng
Yang Li
191
21
0
08 Jun 2022
An Energy-Saving Snake Locomotion Gait Policy Obtained Using Deep
  Reinforcement Learning
An Energy-Saving Snake Locomotion Gait Policy Obtained Using Deep Reinforcement Learning
Yilang Liu
A. Farimani
170
6
0
08 Mar 2021
Neuromorphic adaptive spiking CPG towards bio-inspired locomotion of
  legged robots
Neuromorphic adaptive spiking CPG towards bio-inspired locomotion of legged robotsNeurocomputing (Neurocomputing), 2021
Pablo Lopez-Osorio
A. Patiño-Saucedo
Juan P. Dominguez-Morales
H. Rostro-González
Fernando Perez-Peña
134
14
0
24 Jan 2021
Bio-inspired Gait Imitation of Hexapod Robot Using Event-Based Vision
  Sensor and Spiking Neural Network
Bio-inspired Gait Imitation of Hexapod Robot Using Event-Based Vision Sensor and Spiking Neural NetworkIEEE International Joint Conference on Neural Network (IJCNN), 2020
Justin Ting
Yan Fang
A. Lele
A. Raychowdhury
199
4
0
11 Apr 2020
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