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About

Takaomi Hasegawa is a pioneering robotics researcher specializing in agricultural automation, with a particular focus on autonomous harvesting systems for tomato cultivation. His work sits at the intersection of computer vision, robotic manipulation, and precision agriculture, addressing the critical global challenge of labor shortages in farming. Hasegawa's most influential contribution is his development of an autonomous tomato harvesting robot featuring an innovative rotational plucking gripper and stereo camera capable of depth sensing even under direct sunlight — a technically demanding achievement that garnered 175 citations and established him as a leading voice in agricultural robotics. Building on this foundation, he pioneered fast and reliable methods for detecting tomato peduncles and precise cutting points using RGB-D cameras and point cloud data, with these subsequent studies accumulating a further 90 citations collectively. His progressive research trajectory — from gripper design to visual recognition to cutting-point detection — reflects a systematic effort to solve every mechanical and perceptual challenge involved in fully automated harvesting. This culminated in the development of "FARO," a complete automatic tomato harvesting robot. With over 275 total citations, Hasegawa's work has meaningfully advanced the practical deployment of agricultural robots in real greenhouse environments.