Max Robotics — Global Service Robot Directory + US Certification

About

Yutaka Satoh is a leading researcher at the intersection of computer vision and robotics, with a primary focus on enabling machines to perceive, understand, and interact with dynamic 3D environments. His work spans three interconnected domains: robotic manipulation for industrial automation, 3D scene understanding, and human-robot interaction. Satoh’s most impactful contribution is the development of a dual-arm manipulator system for random bin-picking (30 citations), which integrates vision and manipulation planning to grasp objects from piles and regrasp them between arms—a foundational technology for automated logistics. He has also pioneered the field of scene change captioning, creating frameworks that describe 3D scene changes from multiview images (26 citations) and multimodal indoor data (23 citations) in natural language, enabling applications in anomaly detection and assistive robotics. His research on multi-view visual question answering (12 citations) further advances human-robot communication by allowing robots to actively select viewpoints to answer queries. With a career spanning two decades, from early work on mobile stereo omnidirectional systems for moving object detection to recent innovations in real-world scene captioning, Satoh’s work has accumulated over 100 citations and continues to shape how robots perceive and describe our changing world.