Wataru Inamura
Papers
3
Total Citations
49
H-Index
3
About
Wataru Inamura’s research centers on cooperative robotics and dynamic manipulation, with a focus on enabling multi-robot systems to handle complex physical tasks. His most cited work (2007, 31 citations) introduces a leader-follower control method for multiple mobile robots transporting a single object with “loose handling,” where only the leader receives trajectory commands—a design that simplifies coordination and enhances flexibility in real-world applications. Inamura also made notable contributions to robotic skill acquisition through his work on a robotic baseball batting system (2002, 10 citations; 2000, 8 citations). This research established a learning and dynamic pattern-generating architecture that allows manipulators to acquire skills without explicit trajectory specifications, using feedforward torque patterns and optimal control for generalization. By tackling the challenge of dynamic manipulation—where timing and force must adapt in real time—Inamura’s work bridges control theory and machine learning, offering foundational insights for autonomous systems in manufacturing, logistics, and sports robotics. His contributions remain influential for researchers exploring cooperative transport and skill-based robotic learning.
Research Focus
Key Achievements
Top Papers
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