Sumio Ishijima
Papers
1
Total Citations
2
H-Index
1
About
Sumio Ishijima is a pioneering researcher in the field of swarm robotics and autonomous crowd navigation. His work focuses on developing movement models for multi-robot systems, particularly how robots can navigate crowded environments by mimicking human collision avoidance behaviors. His most-cited paper, "Movement model of crowd robots based on human collision avoidance" (2003), proposes a foundational framework that integrates inertia-aware trajectory decision-making with real-time collision avoidance functions. This model allows individual robots to autonomously determine their paths while interacting with others, effectively simulating the fluid, adaptive movement seen in human crowds. Although his citation count is modest, Ishijima’s contributions are notable for laying early groundwork in decentralized robot coordination—a critical area for applications like autonomous warehouses, search-and-rescue missions, and public-space robotics. His work bridges robotics and behavioral science, offering a biologically inspired approach to solving complex navigation problems in dense, dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1Movement model of crowd robots based on human collision avoidance2 citations · 2003