Max Robotics — Global Service Robot Directory + US Certification

About

Masanobu Koga’s research career spans three decades of pioneering work in robotics, from coordinated manipulation to snake-like locomotion and modern augmented reality (AR) teleoperation. His early contributions established foundational control architectures: the 1991 paper on “Coordinated Motion Control of Robot Arm Based on Virtual Internal Model” (12 citations) proposed a novel framework for multi-arm manipulation, resolving motion and internal forces through a virtual internal model. In 2000, he advanced bio-inspired robotics with “An Autonomous Locomotion Control of a Multi-Joint Snake-Like Robot” (5 citations), introducing dynamic manipulability concepts to maintain optimal locomotive shapes during winding motion. Koga also tackled challenging nonholonomic systems, publishing on attitude control of underactuated flying objects with initial angular momentum (2001, 3 citations). More recently, he has focused on human-robot interaction and simulation tools: his 2022 work on “Collision-Aware AR Telemanipulation Using Depth Mesh” (5 citations) addresses critical safety gaps in remote robot operation, while his 2019 proposal of RDTF—an extension of glTF for robot description (3 citations)—enables seamless 3D robot modeling. In 2023, he developed a web application supporting indoor robot validation through AR (1 citation). Koga’s work bridges classical control theory with cutting-edge AR interfaces, demonstrating sustained impact across robotics subfields.