Shinya Yasuda
Papers
8
Total Citations
59
H-Index
4
About
Shinya Yasuda is pioneering the next generation of autonomous mobile robotics, with a sharp focus on safe, cooperative, and uncertainty-aware navigation. His core research spans stochastic control, multi-robot coordination, and robust localization—all aimed at solving real-world logistics and warehouse automation challenges. Yasuda’s most impactful work, the "Safe and Efficient Dynamic Window Approach for Differential Mobile Robots With Stochastic Dynamics Using Deterministic Sampling" (23 citations), introduces a novel method to handle system uncertainty by treating control inputs as random variables, dramatically improving safety and efficiency in dynamic environments. He has also developed a cooperative transportation robot system using risk-sensitive stochastic control (9 citations), where two robots collaboratively manipulate objects, and a wireless-network-controlled multi-robot conveyance prototype (9 citations) to address labor shortages. His calibration-free localization technique using an external stereo camera achieves remarkable 2.3mm precision, while his error prediction model for differential drive robots with swivel casters advances practical reliability. Yasuda’s work, published in top venues like IEEE Access and IROS, demonstrates a rare blend of theoretical rigor and experimental validation, making him a rising leader in autonomous systems for industrial applications.
Research Focus
Key Achievements
Top Papers
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- 6Residual reinforcement learning for logistics cart transportation3 citations · 2022
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