I’m a graduate student in Computer Science and Engineering at the University of Michigan, advised by Professor Chad Jenkins. I earned my BSE (2014-2018) and MSE (2019-2020) in computer science at the University of Michigan. Between degree programs, I worked on applied machine learning research at MIT Lincoln Laboratory under the direction of Dr. Jason Thornton and Dr. Pedro Torres-Carrasquillo. I’m proud to be a recipient of the Qualcomm Innovation Fellowship. This past summer (2023), I was fortunate to work as an Applied Scientist Intern at Amazon Lab126 under the direction of Dr. Aravindhan Krishnan, Dr. Shreekant Gayaka, and Professor Min Sun.
Publications
Journal Articles
Peer-Reviewed Conference Proceedings
Hardware Acceleration of Nonparametric Belief Propagation for Efficient Robot Manipulation.
Yanqi Liu, Anthony Opipari, Theo Guerin, Ruth Iris Bahar.
ACM / SIGDA International Symposium on Field-Programmable Gate Arrays. 2022.
Workshop Papers
Visual Robot Pose Tracking through Counter-Hypothetical Nonparametric Belief Propagation.
Elizabeth Olson, J. Arden Knoll, Anthony Opipari, Grant Gibson, Odest Chadwicke Jenkins.
Distributed Graph Algorithms for Robotics (IEEE ICRA). 2023.
Analysis of Goal-Directed Manipulation in Clutter using Scene Graph Belief Propagation.
Karthik Desingh, Anthony Opipari, Odest Chadwicke Jenkins.
Multimodal Robot Perception (IEEE ICRA). 2018.
Patents
Systems and Methods for Detection of Concealed Threats.
Marianne DeAngelus, Justin Goodwin, Neela Kaushik, Anthony Opipari, Taylor Killian.
United States Patent and Trademark Office: US-20220334243-A1. 2022.