Masanori Mihara
Papers
2
Total Citations
14
H-Index
2
About
Masanori Mihara is a researcher whose work lies at the intersection of robotics, artificial life, and evolutionary computation. His primary research areas include multi-robot coordination, behavior evolution, and the simulation of quasi-ecosystems—artificial environments where robotic agents interact with simulated biological entities like insects and plants. Mihara’s major contributions involve developing frameworks for multi-objective behavior coordination in dynamic environments, where robots must balance competing goals while interacting with a living, evolving ecosystem. His most cited work (2004, 8 citations) explores how multiple robots can coordinate their behaviors in a quasi-ecosystem governed by specific reproduction rules for plants and insects. Earlier foundational work (2001, 6 citations) pioneered the use of evolutionary robotics to evolve robot behaviors within a simulated ecosystem model featuring parasitic relationships between species. Though his citation counts are modest, Mihara’s research is notable for its early and creative application of ecological principles to robotics, offering a unique perspective on how artificial agents can adapt and coexist in complex, biologically-inspired environments. His work remains a touchstone for researchers exploring the intersection of robotics and artificial life.
Research Focus
Key Achievements
Top Papers
- 1
- 2Evolutionary robotics for quasi-ecosystem6 citations · 2001