Papers
1
Total Citations
5
H-Index
1
About
Eri Homma is a robotics researcher whose work focuses on swarm intelligence and cooperative robotic systems for high-precision environmental mapping and movement. Her most notable contribution is the development of the "Generalized Measuring-Worm Algorithm," a novel approach that enables a swarm of robots to collaboratively and accurately map terrain while coordinating their locomotion—inspired by the biological movement of measuring worms. This algorithm, detailed in her 2016 paper (cited 5 times), addresses key challenges in distributed robotics, such as scalability, fault tolerance, and real-time adaptation, by allowing individual robots to function as both sensors and actuators within a unified, decentralized framework. Homma’s work has implications for search-and-rescue missions, planetary exploration, and autonomous construction, where robust, cooperative mapping is critical. While her citation count is modest, her research stands out for its innovative bio-inspired design and practical potential in advancing swarm robotics toward real-world deployment. She continues to explore how simple local rules can yield complex, intelligent group behaviors, making her a promising voice in the field of multi-robot systems.
Research Focus
Key Achievements
Top Papers
- 1