Papers
13
Total Citations
398
H-Index
10
About
Yoichiro Endo is a pioneering researcher in multi-robot systems, human-robot interaction, and cognitive robotics, with a career spanning foundational work in autonomous aerial and ground robot coordination. His most influential contribution is the development of adaptive teams of heterogeneous robots for urban surveillance and situational awareness, a paper that has garnered 149 citations and demonstrated the integration challenges of deploying aerial and ground robots in real-world scenarios. Endo’s work on MissionLab, a mission specification system with a hybrid deliberative-reactive architecture, has been central to advancing user assistance for robot mission planning, with multiple usability evaluation studies accumulating over 80 citations. He also made notable strides in anticipatory robot control, drawing inspiration from biological hippocampal research to enable robots to use episodic memories for navigation in partially observable environments—a line of work that has earned over 60 citations across related papers. Endo’s historical re-examination of Tolman’s schematic sowbug (1939) as an early behavior-based robotics prototype adds a unique dimension to his portfolio, bridging cognitive psychology and robotics. His field experiments for the DARPA Tactical Mobile Robotics Program further underscore his impact on practical, tactical robot missions.
Research Focus
Key Achievements
Top Papers
- 1Adaptive teams of autonomous aerial and ground robots for situational awareness149 citations · 2007
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- 7Multi-robot User Interface Modeling13 citations · 2007
- 8Field Results for Tactical Mobile Robot Missions13 citations · 2000
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