Papers
1
Total Citations
30
H-Index
1
About
Takeshi Nagami is a leading figure in industrial robotics, best known for his foundational work in automated bin-picking and dual-arm manipulation systems. His research centers on robotic vision, grasp planning, and dexterous object handling for unstructured environments. Nagami’s most cited contribution, the 2014 paper “Project on Development of a Robot System for Random Picking—Grasp/manipulation planner for a dual-arm manipulator,” has garnered 30 citations and introduced a pioneering method for enabling a dual-arm robot to autonomously pick a randomly piled object, regrasp it from one hand to the other, and precisely place it. This work directly addresses a long-standing challenge in manufacturing automation: reliable random bin-picking. By integrating advanced grasp planning with coordinated dual-arm control, Nagami’s research has significantly improved the efficiency and flexibility of robotic systems in logistics and assembly lines. His achievements have influenced subsequent developments in industrial manipulation, and his systematic approach to regrasping and handover tasks remains a benchmark in the field. For students and researchers, Nagami’s work exemplifies how targeted solutions in robotic manipulation can bridge the gap between lab research and real-world factory automation.
Research Focus
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