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ESE Ph.D. Thesis Defense: “Graph Convolutions for Teams of Robots”
November 18, 2021 at 12:00 PM - 1:30 PM
ESE Ph.D. Candidate
Arbaaz Khan is a PhD candidate at the GRASP Lab at University of Pennsylvania where I am advised by Vijay Kumar and Alejandro Ribeiro. His research interests lie at the intersection of machine learning and robotics. His research interests lie at the intersection of learning and decision making for robotics. These include improving upon existing policy optimization methodologies, neural network architectures and exploring new models for robust learning. Most recently he has been investigating the use of graph convolutions for problems in robot path planning and multi-robot control. Before his PhD, he was pursuing a masters in Robotics also at the University of Pennsylvania where he was advised by Professors Daniel D. Lee and Vijay Kumar. During his masters, his research was focused on learning meaningful representations for robot navigation. He also spent some time working at the LAIR Lab at Carnegie Mellon University’s Robotics Institute. At CMU, his research was focused on autonomous UAV flight through GPS denied cluttered outdoor environments such as forests. He has also been fortunate to spend time as a research intern at NVIDIA, Samsung Research, Apple and Google Brain.