AI-SDM Seminar - Ananya Rao

— 4:30pm

Location:
In Person and Virtual - ET - Newell Simon 4305 and Zoom

Speaker:
ANANYA RAO, Ph.D. Student, Robotics Institute, Carnegie Mellon University
https://www.ananya-rao.com/

Using robots in disaster response scenarios can improve situational awareness and search effectiveness. Heterogeneous robots, each with different sensing and motion capabilities, can be coordinated to gather information more efficiently than a single robot or a homogeneous team. This talk will cover two key aspects of heterogeneous multi-agent coordination for disaster response. First, we present methods of using the spectral decomposition of an information prior to distributing robotic agents with diverse skill sets to different sub-parts of the overall search and coverage problem, such that each robot is leveraging its unique capabilities to best contribute to the team's goal. Second, we present methods for automating the process of classifying bases of operations for disaster response and optimally selecting start locations for robots with heterogeneous capabilities. Experiments conducted on both synthetically generated and real-world maps demonstrate the efficacy of the presented methods. 

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Ananya Rao is a PhD candidate at Carnegie Mellon University’s Robotics Institute, advised by David Wettergreen and Howie Choset. Her work focuses on multi-agent exploration of extreme environments, particularly on planning for search and rescue and planetary exploration. She has a B.S. in Computer Science and a M.S. in Robotics from Carnegie Mellon University. Her work has been published at several top-tier robotics conferences and received the Best Paper Award at the International Symposium on Distributed Autonomous Robotic Systems (DARS) in 2021. REGISTER
In Person and Zoom Participation.  See announcement.

Event Website:
https://www.cmu.edu/ai-sdm/events/index.html

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