Max Robotics — Global Service Robot Directory + US Certification

About

Katsutoshi Saeki is a pioneering researcher at the intersection of neuromorphic engineering and microrobotics, whose work focuses on developing bio-inspired control systems for miniature robots. His primary research areas include pulse-type hardware neural networks (HNNs), central pattern generator (CPG) models, and integrated circuit (IC) design for robotic locomotion. Saeki’s major contribution lies in creating hardware neural networks that mimic biological neural circuits—specifically, interstitial cell-based CPG models—to generate rhythmic, four-phase pulse waveforms that drive the legs of microrobots. His most cited work, “Synchronization of Coupled Pulse-Type Hardware Neuron Models for CPG Model” (2011, 26 citations), established foundational techniques for coordinating neural oscillators. Saeki’s impact is demonstrated through a series of IC implementations that have successfully controlled both quadruped and hexapod microrobots, including a notable 2019 study on hexapod gait pattern generation. His 2013 paper on MEMS microrobot locomotion using pulse-type HNNs (4 citations) showcases his ability to integrate these neural networks with microelectromechanical systems, enabling lifelike oscillatory patterns. Saeki’s work is critical for advancing autonomous, energy-efficient microrobots, offering a hardware-based path to replicating biological locomotion in artificial systems.