Papers
70
Total Citations
945
H-Index
16
About
Takanori Emaru is a prominent robotics researcher whose work spans autonomous navigation, multi-robot systems, simultaneous localization and mapping (SLAM), and intelligent path planning. His most influential contribution, the Hybrid Potential Based Probabilistic Roadmap (HPPRM) algorithm (2020, 124 citations), significantly advanced dynamic path planning for mobile robots operating in complex environments by improving upon traditional sampling-based approaches. Emaru has made substantial contributions to multi-robot coordination, pioneering novel concepts such as "hitchhiking robots" — systems enabling collaborative navigation through shared computational resources — and symbiotic knowledge-sharing frameworks that allow robots to exchange obstacle information across large operational areas. His work on smooth hypocycloidal paths and line detection algorithms using SVD and Hough transforms has strengthened the foundations of robot localization and environmental mapping. Emaru has also explored heterogeneous air-ground robot teams, developing autonomous UAV docking systems that address energy constraints in multi-robot missions. Earlier contributions to sensor signal processing using sliding mode systems demonstrate his breadth across both theoretical and applied robotics. Collectively, his body of work, accumulating hundreds of citations, has meaningfully shaped modern autonomous mobile robotics research.
Research Focus
Key Achievements
Top Papers
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- 2Autonomous VTOL-UAV Docking System for Heterogeneous Multirobot Team55 citations · 2020
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