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Kazumi Kasaura is a leading researcher in multi-agent systems, embodied robotics, and robot manipulation, whose work bridges theoretical advances and practical automation. Their most cited paper, "Prioritized Safe Interval Path Planning for Multi-Agent Pathfinding With Continuous Time on 2D Roadmaps" (29 citations), tackles the challenging problem of coordinating hundreds of agents on continuous-time roadmaps, offering a scalable solution that outperforms traditional grid-based approaches. Kasaura also introduced the groundbreaking concept of "Swarm Body: Embodied Swarm Robots" (19 citations), exploring how human brain plasticity can integrate collective robot swarms as intuitive extensions of the human body. In robotics control, their benchmark study on action-constrained deep reinforcement learning (17 citations) provides critical evaluation tools for ensuring safe, feasible actions in real-world applications. Kasaura’s work on uncertainty-aware manipulation planning (8 citations) enables high-precision part positioning without costly jigs, while their complete two-armed robot system for jigless, high-tolerance assembly (4 citations) was showcased at the World Robot Summit 2020, with open-source code and 3D-printed parts. This combination of theoretical depth, open-source contributions, and practical impact makes Kasaura’s research essential reading for anyone interested in the future of autonomous multi-agent coordination and dexterous robotic assembly.