Papers
11
Total Citations
101
H-Index
7
About
Riku Funada is a leading researcher in multi-robot systems, control theory, and autonomous navigation, with a focus on enabling safe, coordinated, and efficient operations for robotic teams. His major contributions include pioneering the use of Control Barrier Functions (CBFs) for visual coverage control with quadcopter teams, ensuring no area is left unsurveyed—a breakthrough documented in his most-cited paper (22 citations). He has also advanced path planning under uncertainty, introducing rationally inattentive strategies that minimize sensing effort, as seen in his Gaussian belief space planning work (13 citations). Funada’s impact extends to large-scale multirobot coordination, demonstrated by an 11,000-km experiment spanning from Georgia Tech to Tokyo Tech (12 citations), and to semi-autonomous swarms, where he analyzes human-robot interaction via passivity-shortage theory. His work on distributed safety control and collision avoidance (11 citations) further underscores his influence. With over 100 total citations across his top papers, Funada’s research is vital for applications in search and rescue, environmental monitoring, and beyond, making him a key figure in modern robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Gaussian Belief Space Path Planning for Minimum Sensing Navigation13 citations · 2022
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- 7Rationally Inattentive Path-Planning via RRT10 citations · 2021
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- 10Rationally Inattentive Path-Planning via RRT*2 citations · 2020