and Kenro Kuroki

Papers

Total Citations

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About

Kenro Kuroki is a pioneering researcher in the field of human-robot interaction, with a specific focus on the sensory and emotional dimensions of coexistence between humans and machines. His most cited work, "Superficial pain model using ANNs and its application to robot control" (2006, 7 citations), introduces a novel approach to robot control by modeling human pain perception through artificial neural networks. This contribution addresses a critical gap in robotics: the need for machines to understand and respond to human discomfort during close physical interaction. Kuroki’s research emphasizes that in shared environments, robots must account for sensory and emotional feedback—such as pain—to ensure safe and natural collaboration. By integrating these models into control systems, his work lays the groundwork for more empathetic and adaptive robotic behaviors. Though his citation count is modest, the conceptual impact of his pain-modeling framework is significant, offering a foundational perspective for future studies in affective computing and human-aware robotics. Kuroki’s insights continue to inform discussions on how robots can coexist harmoniously with humans, respecting both physical boundaries and emotional states.