Jingjin Yu, Rutgers University

Abstract

Modern logistics hubs, from automated warehouses to maritime ports, are increasingly reliant on dense, high-capacity storage systems to manage global commerce. As automation advances dramatically in these facilities, a fundamental challenge remains: maximizing robot/storage density without sacrificing operational throughput. This talk explores how new algorithmic frameworks address these critical bottlenecks by enabling efficient, large-scale robot coordination in environments with extreme occupancy.

Bio:

Jingjin Yu is an Associate Professor in the Department of Computer Science at Rutgers University–New Brunswick and Director of the Algorithmic Robotics and Control Lab. He earned his B.S. from USTC, M.S. and Ph.D. degrees from UIUC, and completed his postdoctoral training at MIT CSAIL. His research advances embodied intelligence by integrating robot learning with algorithmic planning and combinatorial optimization to master complex manipulation and multi-robot coordination tasks. His work supports autonomous systems in warehouse logistics, home automation, and space environments. A recipient of the NSF CAREER and Amazon Research Awards, Dr. Yu has published 100+ peer-reviewed articles and currently serves as an ICRA Editor and IEEE RAS Distinguished Lecturer.

[Slides]