Pedro Mitsuo Shiroma

Universidade Federal de Minas Gerais, Federal University of São João del-Rei

Papers

Total Citations

108

H-Index

About

Pedro Mitsuo Shiroma’s research lies at the intersection of multi-robot coordination, task allocation, and autonomous control, with a strong emphasis on enabling robots to operate effectively under uncertainty. His most influential work, “CoMutaR: A framework for multi-robot coordination and task allocation” (2009, 50 citations), tackles the fundamental challenge of concurrently managing task allocation and coordination—problems traditionally solved in isolation. By proposing a unified framework, Shiroma demonstrated that integrating these layers can yield significant performance improvements in multi-robot systems. In parallel, his contributions to target localization using range-only sensors (2009, 41 citations) introduced novel algorithms for conservatively incorporating nonlinear sensor information and computing control inputs that continuously refine state estimates. This work has practical implications for search-and-rescue and environmental monitoring, where robots must localize targets with limited sensory data. Shiroma also explored cooperative robotic exploration and transport of unknown objects (2012), where robots estimate an object’s characteristics in real-time using range sensors—a step toward more adaptive, autonomous manipulation. With a career marked by innovative frameworks that bridge theory and application, Shiroma’s research continues to influence the design of scalable, intelligent robotic teams.