Kensuke Kurose

Papers

Total Citations

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About

Kensuke Kurose is a researcher whose work bridges the critical gap between simulation and real-world robotics, with a focus on mobile robot validation and autonomous object manipulation. His most influential contribution, "Validation of Simulated Robots with Realistically Modeled Dimensions and Mass in USARSim" (2008, 16 citations), addresses a fundamental challenge in robotics research: ensuring that simulated robots accurately reflect their physical counterparts. By systematically comparing actual and simulated robot performance, Kurose helped establish methodologies for improving the transparency and reliability of simulators like USARSim as research tools—work that has been essential for researchers using simulation to develop and test algorithms before real-world deployment. In a second notable paper, "Unknown object modeling on the basis of vision and pushing manipulation" (2011, 8 citations), Kurose tackled the problem of enabling robots to autonomously model unfamiliar objects in human environments. By integrating vision sensors, a manipulator, and tactile feedback, his approach allows robots to construct complete models of unknown objects on a desk through physical interaction—a capability crucial for household and service robots. Though his citation counts are modest, Kurose’s contributions to simulation fidelity and autonomous object modeling represent foundational steps toward more capable and trustworthy robotic systems.