A research group from Japan’s Tohoku University Graduate School of Engineering has replicated human-like variable speed walking using a musculoskeletal model—one steered by a reflex control method reflective of the human nervous system. The development in biomechanics and robotics sets a new benchmark in understanding human movement and could pave the way for innovative robotic technologies, including more adaptive and energy-efficient prosthetic devices.
“Our study has tackled the intricate challenge of replicating efficient walking at various speeds—a cornerstone of the human walking mechanism,” said Dai Owaki, PhD, an associate professor at the university and co-author of the study. “These insights are pivotal in pushing the boundaries for understanding human locomotion, adaptation, and efficiency.”
Intensive analysis of neural circuits, particularly those controlling the muscles in the leg swing phase, unveiled critical elements of energy-saving walking strategies and enhanced understanding of the complex neural network mechanisms that underpin human gait and its effectiveness.
“The successful emulation of variable-speed walking in a musculoskeletal model, combined with sophisticated neural circuitry, marks a pivotal advancement in merging neuroscience, biomechanics, and robotics. It will revolutionize the design and development of high-performance bipedal robots, advanced prosthetic limbs, and state-of-the-art- powered exoskeletons,” Owaki said.
Looking ahead, Owaki and his team hope to further refine the reflex control framework to recreate a broader range of human walking speeds and movements.
Editor’s note: This story was adapted from materials provided by Tohoku University.
The open-access study, “Identifying essential factors for energy-efficient walking control across a wide range of velocities in reflex-based musculoskeletal systems,” was published in PLOS Computational Biology.
