Lo, Zhang, and Stone Win Best Paper Award for Task Planning in Robots
09/13/2018 - Shih-Yun Lo, Shiqi Zhang, and Peter Stone are recipients of the 2018 Best Robotics Track Paper Award at the International Conference on Autonomous Agents and Multiagent Systems (AAMAS). They received this award for their research on planning efficiently for task-level navigation in robots. Their group, led by Texas Computer Science professor Peter Stone, includes Shih-Yun Lo, a Texas Ph.D. student in mechanical engineering, and Shiqi Zhang, a former Texas postdoc student and current Assistant Professor at SUNY Binghamton.