Chiaki Kojima
Papers
3
Total Citations
8
H-Index
2
About
Chiaki Kojima is a researcher at the forefront of control theory and human-robot interaction, with a focus on solving real-world challenges in crowded environments. Their work centers on two key areas: human dense avoidance and assistive control for human-robot cooperative systems. Kojima’s major contribution lies in developing a coverage control-based method to prevent crowding in public facilities like stations and government offices—a problem made urgent by the COVID-19 pandemic. By applying system and control theory, they have proposed efficient algorithms that enable robots to navigate dense human populations while minimizing contact and maintaining safety. Additionally, Kojima has advanced human-robot collaboration by designing assist control strategies for cooperative transportation tasks, using a nonlinear disturbance observer to handle scenarios where human-applied forces cannot be directly measured. This innovation allows robots to intuitively assist humans in moving objects to precise positions and angles. With papers published in 2022 and accumulating citations, Kojima’s work is gaining recognition for its practical impact on public health and automation. Their research bridges theoretical control methods with pressing societal needs, offering scalable solutions for safer, more efficient human-robot coexistence.
Research Focus
Key Achievements
Top Papers
- 1Human Dense Avoidance Based on A Coverage Control through Robots3 citations · 2022
- 2
- 3Human dense avoidance based on a coverage control through robots2 citations · 2022