Max Robotics — Global Service Robot Directory + US Certification

About

Atsuko Enomoto’s research lies at the intersection of robotic manipulation, intelligent assembly, and human-robot collaboration, with a career-long focus on making industrial robots more adaptive and precise. Her foundational work on *virtual compliance control* demonstrated that a unified impedance control method could enable standard robot manipulators to perform diverse motion patterns purely through software parameter adjustments—a concept that has influenced subsequent force-controlled robotics. In manufacturing, she pioneered a *multipass active control* strategy for robotic deburring, proving that two-pass control could reliably remove burrs and produce consistent chamfers despite real-world errors in fixtures, parts, or robot positioning. More recently, Enomoto has addressed the challenges of highly-mixed variable-volume production by developing *automatic assembly motion planning* from 3D CAD data, enabling rapid task switching in human-robot cooperative cells. Her latest work tackles the NP-hard problem of near-optimal task sequencing and allocation for multi-arm robot systems, incorporating geometric constraints to prevent collisions. With over 16 citations across her most influential papers, Enomoto’s contributions continue to shape practical, flexible automation solutions for modern manufacturing environments.