Hiroki Arai
Papers
1
Total Citations
2
H-Index
1
About
Hiroki Arai is a researcher advancing the field of teleoperation and control systems, with a focus on addressing the challenges posed by time-varying delays in networked environments. His key research areas include model predictive control (MPC), delay compensation, and human-robot interaction. Arai’s major contribution lies in his development of a variable-horizon based MPC framework for teleoperation systems, which dynamically adjusts prediction horizons to mitigate the destabilizing effects of unpredictable communication lags. By incorporating a prediction model that estimates future states under worst-case delay scenarios, his work enhances the reliability and safety of remote control applications, such as telesurgery or hazardous environment operations. While his most-cited paper, published in 2020, has garnered 2 citations—reflecting the niche but critical nature of his research—it lays foundational groundwork for more robust teleoperation systems. Arai’s approach stands out for its practical adaptability, offering a solution that does not require precise delay models, thus broadening its applicability. His achievements demonstrate a commitment to solving real-world control problems, making his work valuable for students and researchers exploring delay-tolerant control strategies in robotics and automation.
Research Focus
Key Achievements
Top Papers
- 1