Motokuni Ishibashi

About

Motokuni Ishibashi is a pioneering researcher in bio-inspired robotics, specializing in the development of low-power, hardware-based neural control systems that mimic the biological functions of the spinal cord. His work addresses a central challenge in robotics: achieving energy-efficient, adaptive motion control without relying on conventional microprocessors and software. Ishibashi’s most impactful contribution is the design of a pulse-type hardware central pattern generator (CPG) model, which replicates the neural circuits responsible for rhythmic locomotion in living organisms. Applied to a human musculoskeletal model, this system successfully enabled walking and running control with dramatically reduced power consumption and computational load. His research has been published in key venues, with his top-cited paper (2022) accumulating 6 citations. Ishibashi has also advanced the field by extracting actuator forces and neural signals from human gait through inverse dynamics simulations, bridging the gap between biological motion and robotic implementation. His work on spinal cord-like artificial neural networks offers a compelling alternative to traditional software-based control, promising more lifelike, efficient, and autonomous robots for the future.

Research Focus

Key Achievements

Top Papers

1. 1
   The walking and running control of a human musculoskeletal model using a low-power consumption hardware central pattern generator model

   6 citations · 2022
2. 2
   Pulse-type hardware neural network mimicking spinal cord function

   4 citations · 2021
3. 3
   Extraction of actuator forces and displacements involved in human walking and running and estimation of time-series neural signals by inverse dynamics simulation

   2 citations · 2024
4. 4
   Spinal Cord Like Artificial Neural Networks and Application to Robots

   2 citations · 2023

Key Collaborators

Contact & Links