Hiroshi Kubota

University of Yamanashi, University of Tsukuba

Papers

Total Citations

H-Index

About

Hiroshi Kubota is a robotics researcher whose work bridges autonomous navigation and human-assistive technology. His primary research areas include multi-robot formation control, obstacle avoidance, and wearable robotic systems for physiological support. Kubota’s most cited work, “Leader–follower formation control with obstacle avoidance using sonar-equipped mobile robots” (2014, 16 citations), introduces an adaptive sonar-based method that enables follower robots to distinguish a leader from environmental obstacles in cluttered settings—a critical advance for swarm robotics and industrial automation. This contribution addresses the fundamental challenge of reliable perception in dynamic, obstacle-rich environments. In a parallel line of investigation, Kubota explored the cardiopulmonary effects of the Hybrid Assistive Limb (HAL), a cyborg-type robot suit, in healthy subjects (2018, 4 citations). This study provides early evidence that wearable exoskeletons can reduce physiological burden during exercise, informing future designs for rehabilitation and physical augmentation. While his citation counts reflect a focused, emerging impact, Kubota’s work demonstrates a dual commitment to both theoretical control strategies and applied human–robot interaction. His research offers valuable insights for students and engineers developing robust multi-robot systems and human-centric assistive devices.