Hybrid autonomous controller for bipedal robot balance with deep reinforcement learning and pattern generators
Keywords
Cited by (0)
Christos Kouppas is a Ph.D. student in Computer Science at Loughborough University in the United Kingdom. He obtained BEng in Mechanical Engineering from the University of Cyprus, graduating first of his class in 2015. He also graduated from The University of Sheffield first of his class at the M.Sc. Advanced Control & Systems Engineering in 2016. He has been awarded the Laverick Webster Hewitt Prize for his outstanding performance and The Eric Rose Prize for the best project, during his master studies.
Mohamad Saada is a KTP researcher at Loughborough University in the United Kingdom. His main research interest includes but not limited to autonomous and automatic systems, mobile and stationary robotics as well as advance control algorithms with artificial intelligence.
Qinggang Meng is a Professor in robotics and autonomous systems at Loughborough University, UK. His main research interests and expertise include: cognitive robotics, multi-robot/UAV cooperation, AI, machine learning and computer vision, driverless vehicles, human–robot interaction, and ambient assisted living.
Mark King is a Professor in Sports Biomechanics at Loughborough University, UK specializing in using subject-specific computer simulation models to understand optimum performance and injury risk in sport. Integral to this work is the role of muscle and technique on optimum performance and how the force gets transmitted/energy dissipated through the body. He has been at Loughborough since 1990 graduating in Sports Science and Mathematics in 1993 and obtained his Ph.D. in computer simulation of dynamic jumps in 1998.
Dennis Majoe is a senior scientist in a scientific collaboration with the Ecole Polytechnique de Lausanne advising on high fidelity medical wearable devices. He is also CEO for Motion Robotics Ltd, U.K. His main area of research is robotics as applied to assistive living.
The code (and data) in this article has been certified as Reproducible by Code Ocean: (https://codeocean.com/). More information on the Reproducibility Badge Initiative is available at https://www.elsevier.com/physical-sciences-and-engineering/computer-science/journals.