Papers
20
Total Citations
250
H-Index
8
About
Hironobu Sasaki is a robotics and manufacturing automation researcher whose work sits at the intersection of human-robot collaboration, intelligent assembly systems, and fault-tolerant robotic control. His most significant contributions center on the design of flexible manufacturing frameworks for High-Mix, Low-Volume production environments, where he pioneered assembly strategy modeling and scheduling methods for human and robot coordinated (HRC) cell manufacturing — work that has garnered over 80 citations across multiple publications and established him as a key voice in collaborative industrial robotics. Sasaki's research has made particularly notable advances in robotic wiring harness assembly, developing vision- and force/torque sensor-guided systems capable of accurately mating electronic connectors and recovering from assembly errors — a technically demanding problem with direct industrial relevance. His 2015 study on error recovery search strategies for connector mating (43 citations) reflects his sustained focus on fault-tolerant robotic behavior. Complementing this, his intelligent gripper design work addresses the hardware challenges inherent to precision assembly tasks. Earlier contributions to mobile robot SLAM using evolutionary computation and neural gas-based object detection further demonstrate the breadth of his expertise across perception, localization, and intelligent robot vision systems.
Research Focus
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