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About

Hiromasa Kamogawa is a robotics researcher whose work centers on multi-robot coordination, autonomous grasping, and cooperative object manipulation. His research addresses one of the fundamental challenges in robotics: enabling mobile robots to efficiently handle unknown, irregularly shaped, and heavy objects without prior knowledge of their geometry. Kamogawa's most significant contributions lie in developing intelligent systems that allow robots to automatically determine how many units are needed to grasp an unfamiliar object, minimizing response time while maximizing stability. His 2013 paper on fast grasping through automatic robot number determination represents his most cited work, garnering 10 citations, and introduced a novel Gripper-Lifter robot architecture that streamlined object acquisition. Earlier foundational work from 2010 and 2011 established cooperative frameworks for two-robot systems, demonstrating fast transitions between stable manipulation states — a critical requirement in real-world logistics and industrial applications. His 2012 motion planning research further refined these systems by optimizing state transitions in multi-robot handling scenarios. Collectively, his publications have accumulated over 26 citations, reflecting steady recognition within the robotics community. Kamogawa's work offers valuable insights for students and engineers working on autonomous manipulation, warehouse robotics, and human-robot collaborative environments.