Papers
8
Total Citations
212
H-Index
5
About
Saku Egawa is a pioneering roboticist whose research centers on human-symbiotic robotics, mobile robot navigation, and human tracking. His most influential work, "People Tracking Using a Robot in Motion with Laser Range Finder" (83 citations), established foundational methods for monitoring multiple moving pedestrians from a moving robot—a critical capability for service and security applications. Egawa is perhaps best known as the lead designer of the human-symbiotic robot EMIEW, detailed in two highly-cited 2006 papers (53 and 15 citations). This innovative robot features a self-balancing two-wheeled mobile system, enabling nimble and safe movement among people. His contributions extend to collision-avoidance algorithms that predict pedestrian trajectories in real-time, ensuring safe human-robot coexistence. Additionally, Egawa developed compact, high-power electrostatic artificial muscles with multi-layer structures (42 citations), demonstrating his versatility in both hardware and software. With a career spanning over a decade, Egawa's work has accumulated over 200 citations, and his EMIEW robot remains a landmark achievement in creating robots that can safely share space with humans in daily life.
Research Focus
Key Achievements
Top Papers
- 1People Tracking Using a Robot in Motion with Laser Range Finder83 citations · 2006
- 2Basic Design of Human-Symbiotic Robot EMIEW53 citations · 2006
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- 5Collision-avoidance algorithm for human-symbiotic robot12 citations · 2010
- 6Collision Avoidance Control of Human-Symbiotic Robot3 citations · 2011
- 7
- 82P2-E05 People Tracking and Trajectory Planning for a Mobile Robot2 citations · 2006