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About

Yoshitaka Ushiku is a leading researcher at the intersection of computer vision, robotics, and laboratory automation. His work spans three key domains: autonomous vehicle perception, vision-language planning for robots, and robotic materials science. In autonomous driving, Ushiku developed multispectral object detection systems (177 citations) that robustly identify cars, people, and bicycles under challenging conditions, advancing mobile robot safety. He pioneered crowd density forecasting (14+ citations), a novel task for predicting human activity patterns in video, with applications in robot navigation and drone landing. A major contribution is his work on vision-language interpreters for robot task planning (35+ citations), which bridges large language models with symbolic planners to create interpretable, language-guided robot systems. Ushiku has also made significant strides in laboratory automation, introducing robotic powder grinding with soft jigs and audio-visual feedback (17+ citations), and force-controlled mechanochemical synthesis (7 citations)—innovations that enhance reproducibility and control in materials science. His recent SCU-Hand (2025) demonstrates a soft robotic end-effector for scooping granular media, further automating small-scale experiments. With over 250 total citations, Ushiku’s work is shaping the future of intelligent, autonomous systems from the lab to the road.