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Atsuo Kato is a pioneering roboticist whose research centers on cooperative manipulation, compliant control, and bio-inspired robotics. His most influential work, "On cooperative manipulation of dynamic objects" (1995, 13 citations), introduced a decentralized position/internal force hybrid control approach enabling multiple robot manipulators to handle unknown dynamic objects autonomously—a foundational contribution to multi-robot systems. Kato further advanced robot-environment interaction through nonlinear robust control for compliant manipulation on dynamic environments (1995, 3 citations) and a bilinear model for joint impedance control (1991, 3 citations), demonstrating how antagonist coactivation can suppress oscillations during contact tasks. His spatial generalization of optimal control (2001, 3 citations) applied diffusion-based learning to extend optimal control across a robot's workspace. Beyond theory, Kato developed the AIT-ReBol inchworm-type searching robot (2006, 7 citations), a modularized design with a wireless camera and network functions for victim search in disaster scenarios. With a career spanning theoretical frameworks and practical rescue robotics, Kato's work has shaped cooperative manipulation and adaptive control, earning recognition for bridging robust control theory with real-world applications.