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About

Kaoru Ota is a leading researcher at the intersection of robotics, artificial intelligence, and next-generation communication networks. Her work focuses on enabling intelligent robotic systems to operate effectively in extreme and hazardous environments, from disaster zones to remote healthcare settings. Ota’s major contributions include pioneering distributed scene understanding for disaster management—demonstrating how robots equipped with depth sensors can autonomously navigate and assess dangerous areas. She has also advanced sustainable deep learning for 3D robotic vision, developing offloading game strategies to manage the computational demands of convolutional neural networks in resource-constrained robots. Her highly cited paper, “Eyes in the Dark: Distributed Scene Understanding for Disaster Management” (50 citations), exemplifies her impact, while her work on mobile cloud-assisted healthcare systems addresses the challenges of managing multimedia big data. More recently, Ota has explored reconfigurable intelligent surface (RIS)-enabled integrated sensing, computing, and communication for the Internet of Robotic Things (IoRT), pushing the boundaries of real-time decision-making in extreme environments. Her research consistently bridges theoretical innovation with practical applications, making her a pivotal figure in the evolution of autonomous, connected robotic systems.