Papers
5
Total Citations
156
H-Index
5
About
Hidehisa Akiyama is a leading researcher in multi-robot systems, autonomous exploration, and disaster response robotics. His work focuses on enabling teams of mobile robots to rapidly and intelligently map hazardous environments, a critical capability for real-world search and rescue missions. Akiyama’s most influential contributions center on multi-robot exploration and map building, as demonstrated in his highly cited 2011 paper on RoboCupRescue (53 citations) and his 2008 study on multi-agent positioning in dynamic environments (52 citations). These works address fundamental challenges in coordinating robot teams under uncertainty, including how to efficiently cover unknown terrain and share spatial information in real time. His 2010 field experiment in an underground mall (25 citations) provides rare empirical validation of these algorithms in realistic, GPS-denied settings, showcasing the practical viability of his approaches. Akiyama has also been a key contributor to the RoboCup community, co-editing the 2017 RoboCup proceedings. With over 150 total citations, his research bridges theory and practice, advancing the frontier of autonomous systems that can save lives in disaster scenarios.
Research Focus
Key Achievements
Top Papers
- 1
- 2Multi-agent Positioning Mechanism in the Dynamic Environment52 citations · 2008
- 3Field Experiment on Multiple Mobile Robots Conducted in an Underground Mall25 citations · 2010
- 4
- 5RoboCup 2017: Robot World Cup XXI8 citations · 2018