Hideyuki Saito
Papers
1
Total Citations
5
H-Index
1
About
Hideyuki Saito is a robotics researcher whose work focuses on developing intelligent, safe navigation systems for autonomous mobile robots. His primary research areas include obstacle avoidance, sensor integration, and behavior-based control architectures. Saito’s most notable contribution is the design of an emergency obstacle avoidance module that employs a laser range finder and a subsumption architecture—a layered control system that prioritizes rapid, reflexive responses to environmental hazards. This approach allows a robot to safely and swiftly navigate around unexpected obstacles by stacking simple behaviors, such as stopping or turning, in a hierarchy of increasing complexity. Although his most-cited paper, published in 2013, has accumulated 5 citations, its influence lies in its practical, modular design that can be readily adapted for real-world applications, from warehouse logistics to autonomous vehicles. Saito’s work exemplifies a pragmatic engineering philosophy, prioritizing robust, real-time performance over computational complexity, and his contributions remain a valuable reference for researchers developing low-latency safety systems in mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1