Taichi Kumagai
Papers
9
Total Citations
65
H-Index
5
About
Taichi Kumagai is a robotics researcher whose work focuses on safe and efficient autonomous navigation, cooperative multi-robot systems, and robust control under uncertainty. His major contributions lie at the intersection of stochastic control and practical robot deployment, particularly for logistics and transportation. His most cited work, "Safe and Efficient Dynamic Window Approach for Differential Mobile Robots With Stochastic Dynamics Using Deterministic Sampling" (2023, 23 citations), introduces a novel method to handle uncertainty in robot dynamics by transforming the objective function into a deterministic sampling problem, significantly improving both safety and efficiency in real-time motion planning. Kumagai has also pioneered cooperative transportation systems, as demonstrated in his 2021 paper on risk-sensitive stochastic control (9 citations) and his 2019 prototype of a wireless-network-controlled multi-robot conveyance system (9 citations). His work on calibration-free localization using external stereo cameras (2020, 7 citations) achieves millimeter-level precision, enabling flexible robot deployment without tedious calibration. Additionally, his research on adaptive remote control under communication delay fluctuations (2018, 6 citations) addresses critical challenges in IoT-enabled robotics. With a growing citation record and a focus on practical, uncertainty-aware solutions, Kumagai is advancing the frontier of reliable autonomous systems for real-world logistics and warehouse automation.
Research Focus
Key Achievements
Top Papers
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- 5Adaptive remote control of a mobile robot system with delay fluctuation6 citations · 2018
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- 7Residual reinforcement learning for logistics cart transportation3 citations · 2022
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