Max Robotics — Global Service Robot Directory + US Certification

About

Zvi Shiller is a prominent robotics researcher whose work has fundamentally shaped the fields of robot motion planning, trajectory optimization, and autonomous navigation. His research spans two deeply interconnected domains: time-optimal motion planning for robotic manipulators and dynamic obstacle avoidance for mobile robots and intelligent vehicles. Shiller's most influential contribution is the concept of **Velocity Obstacles**, introduced in his 1998 paper with over 1,930 citations, which revolutionized how robots reason about collision avoidance in dynamic environments by framing avoidance maneuvers directly in velocity space. This elegant framework has since become a cornerstone of autonomous navigation research worldwide. Equally significant is his body of work on time-optimal trajectory planning for robotic manipulators, where he tackled the notoriously difficult problem of singular control points along constrained paths — work that provided both theoretical rigor and practical algorithms now embedded in modern robotics systems. Papers from 1989 through 2005 collectively demonstrate his sustained contributions to optimizing manipulator motion under real-world constraints including actuator limits, obstacles, and payload dynamics. With thousands of citations across a decade-spanning portfolio, Shiller's research has profoundly influenced both academic robotics and industrial automation, making him an essential reference for any student working in motion planning or autonomous systems.