Speakers

Matthew Gombolay is an Assistant Professor of Interactive Computing at the Georgia Institute of Technology. He received a B.S. in Mechanical Engineering from the Johns Hopkins University in 2011, an S.M. in Aeronautics and Astronautics from MIT in 2013, and a Ph.D. in Autonomous Systems from MIT in 2017. Gombolay’s research interests span robotics, AI/ML, human-robot interaction, and operations research. Between defending his dissertation and joining the faculty at Georgia Tech, Dr. Gombolay served as a technical staff member at MIT Lincoln Laboratory, transitioning his research to the U.S. Navy, earning him an R&D 100 Award. His publication record includes a best paper award from American Institute for Aeronautics and Astronautics, a finalist for best student paper at the American Controls Conference, and a finalist for best paper at the Conference on Robot Learning. Dr. Gombolay was selected as a DARPA Riser in 2018, received 1st place for the Early Career Award from the National Fire Control Symposium, and was awarded a NASA Early Career Fellowship for increasing science autonomy in space.

Angelique Taylor is a Visiting Research Scientist at Meta Reality Labs Research and an incoming Assistant Professor at Cornell Tech this summer 2022! She received her Ph.D. in Computer Science and Engineering from the University of California San Diego in 2021, B.S. in Electrical Engineering and Computer Engineering from the University of Missouri-Columbia in 2015, and her A.S. in Engineering Science from Saint Louis Community College in 2012. Taylor's research lies at the intersection of robotics, computer vision, and artificial intelligence. Her research lab designs intelligent systems that work alongside groups of people in real-world, safety-critical environments. These systems are realized through multi-robot systems, robot vision systems, AI, and augmented and virtual reality devices. Taylor has received the NSF GRFP, Microsoft Dissertation Award, the Google Anita Borg Memorial Fellowship, the Arthur J. Schmitt Presidential Fellowship, a GEM Fellowship, and an award from the National Center for Women in Information Technology (NCWIT) as well as Best Paper Honorable Mention at CSCW 2019 and Best Paper Award at HRI 2022.

Andrea Bajcsy is a Ph.D. candidate at UC Berkeley in the Electrical Engineering and Computer Science Department and an incoming Assistant Professor at the Robotics Institute at CMU (starting Fall 2023). She studies safe human-robot interaction, particularly when robots learn from and about people. Her research unites traditionally disparate methods from control theory and machine learning to develop theoretical frameworks and practical algorithms for human-robot interaction in domains like assistive robotic arms, quadrotors, and autonomous cars. Prior to her Ph.D., she earned her B.S. at the University of Maryland, College Park in Computer Science in 2016. She is the recipient of an Honorable Mention for the T-RO Best Paper Award, the NSF Graduate Research Fellowship, UC Berkeley Chancellor’s Fellowship, and has worked at NVIDIA Research and Max Planck Institute for Intelligent Systems.

Siddhartha S. Srinivasa is the Boeing Endowed Professor at the School of Computer Science and Engineering, University of Washington. He earned his PhD in robotics from Carnegie Mellon University. He works on robotic manipulation, with the goal of enabling robots to perform complex manipulation tasks under uncertainty and clutter, with and around people. To this end, he founded the Personal Robotics Lab in 2005. He is also passionate about building end-to-end systems (HERB, ADA, HRP3, CHIMP, Andy, among others) that integrate perception, planning, and control in the real world. Understanding the interplay between system components has helped produce state-of-the-art algorithms for robotic manipulation, motion planning, object recognition, and pose estimation (MOPED), dense 3-D modeling (CHISEL, now used by Google Project Tango), and mathematical models for human–robot collaboration.