Tetsuo Kinoshita
Hosei University, Tohoku University, Tohoku Institute of Technology
Papers
10
Total Citations
46
H-Index
3
About
Tetsuo Kinoshita is a robotics and intelligent systems researcher whose work spans autonomous mobile robot navigation, LiDAR-based sensing, and multi-agent coordination for IoT environments. His most significant contributions center on enabling safe, real-world robot navigation — developing emergency obstacle avoidance modules that account for dynamic hazards such as pedestrians and cyclists, robust path-planning algorithms using virtual obstacles, and collision-free area detection using depth cameras. His most cited work (15 citations) introduced a prediction-based obstacle avoidance system using LiDAR, reflecting his sustained focus on practical outdoor autonomy challenges, including participation in the competitive Tsukuba Challenge robotics trials. Kinoshita has also advanced LiDAR data processing techniques, including target classification through the fusion of range and intensity data and spot-based profile estimation for robots in motion. Beyond robotics, he has contributed to multi-agent frameworks for heterogeneous IoT devices, proposing cooperation infrastructures that enable smarter cyber-physical systems, as well as disaster-response communication solutions using mobile robots. His work on episodic memory recall systems demonstrates a broader interest in human-assistive technologies. Across his research portfolio, Kinoshita consistently bridges theoretical algorithm design with tangible real-world deployment scenarios.
Research Focus
Key Achievements
Top Papers
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- 4Multiagent-based cooperation infrastructure for IoT devices3 citations · 2014
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- 7Development of collision-free-area detection algorithm for mobile robot2 citations · 2014
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- 10LIDAR based target object classification by using reflection intensity2 citations · 2014