Lantao Liu     
Dr. Lantao Liu

Postdoctoral Fellow
Carnegie Mellon University
"Coordinating Multi-robot Systems: From Task Allocation
to Cooperative Planning and Decision-Making ”
Wednesday, February 25, 4:00 PM
Packard Lab Room 416

Abstract: Autonomous robots are increasingly being seen everywhere and are able to handle very complex tasks. For example, unmanned aerial vehicles have been deployed for reconnaissance and surveillance, and are being designed for delivery of packages. Like humans, multiple robots also need to collaborate with each other in order to efficiently accomplish certain common missions. Effective coordination of a multi-robot system entails explicit models with considerations such as trajectory planning, goal assignment, action uncertainties, local communication and interaction, etc. In this talk, I will describe the design and implementation of several multi-robot cooperative planning and decision-making methodologies, which essentially exploit and incorporate classic task allocation mechanisms. Following that, I will introduce a distributed multi-agent coordination framework that is built on information routing strategies to cope with the challenges of limited sensing and communication capabilities. While presenting these topics, I will discuss my research progress in tackling a class of widely investigated challenging issues including reaching benchmark time complexity, increasing algorithm flexibility, accomplishing system scalability, optimizing both local actions and global performances, etc.

Bio: Dr. Lantao Liu is currently a Postdoctoral Fellow in the Robotics Institute at Carnegie Mellon University. He received a Ph.D. (Dissertation Fellow) from the Department of Computer Science and Engineering at Texas A&M University in 2013, and a Bachelor degree (Silver Medal, highest distinction) from the Department of Automatic Control at Beijing Institute of Technology in 2007. Dr. Liu's research interests include multi-robot systems, aerial robotics, sensor networks, and swarm systems.

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