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About

Tomohiro Ono is a robotics researcher specializing in home service robots, human-robot interaction, and autonomous systems. His work focuses on enabling robots to operate intelligently in real-world domestic environments — a challenge requiring the seamless integration of perception, planning, and communication. Ono's most recognized contribution comes from his team's solution to the World Robot Challenge 2020 Partner Robot Challenge (Real Space), which has garnered 23 citations and demonstrated practical approaches to domestic tasks such as room tidying, obstacle avoidance, and object grasping. Building on this foundation, he has developed systems for autonomous waiter robots capable of recognizing customers, taking orders, and serving food, as well as unified frameworks that allow robots to simultaneously understand their environment, assigned tasks, and human interlocutors in dynamic indoor settings. His research extends to object search and empty-space detection for pick-and-place tasks, fast 3D point cloud-based manipulation methods, and FPGA-accelerated autonomous vehicle systems using ROS2. Through his involvement with the Hibikino-Musashi@Home team, Ono has also contributed open-source tools and datasets that support the broader robotics research community. Collectively, his work advances the practical deployment of intelligent service robots in everyday human environments.