Papers
36
Total Citations
443
H-Index
9
About
Koichi Wada is a leading figure in the theoretical foundations of distributed computing by autonomous mobile robots, with a career spanning foundational algorithmic problems to human-robot interaction. His primary research areas include robot coordination, swarm robotics, and distributed algorithms in Euclidean space. Wada made seminal contributions to the **gathering problem**, demonstrating how oblivious robots with unreliable or dynamic compasses can still converge to a single point—work that has garnered over 97 citations for his 2012 paper alone. He established optimal algorithms for gathering under various synchrony models, significantly refining the computational landscape of mobile robotics. Beyond theory, Wada explored human-robot interaction, notably studying how a seal-type "mental commit robot" could reduce stress in the elderly, linking physiological markers like 17-KS-S to robotic companionship. His later work pushes boundaries by introducing Byzantine fault tolerance, energy constraints, and formal verification via model checking for robot rendezvous algorithms in continuous spaces. With over 300 total citations and a string of influential results from 2004 to 2022, Wada has shaped both the algorithmic rigor and the practical applicability of autonomous multi-robot systems.
Research Focus
Key Achievements
Top Papers
- 1The Gathering Problem for Two Oblivious Robots with Unreliable Compasses97 citations · 2012
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- 3Gathering Autonomous Mobile Robots with Dynamic Compasses: An Optimal Result50 citations · 2007
- 4Dynamic Compass Models and Gathering Algorithms for Autonomous Mobile Robots45 citations · 2007
- 5Brief Announcement: The BG-Simulation for Byzantine Mobile Robots16 citations · 2011
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- 10Autonomous Mobile Robots: Refining the Computational Landscape9 citations · 2021