I’m a graduate student in Computer Science and Engineering at the University of Michigan, advised by Professor Chad Jenkins. My research interests are in advanced computing topics and especially those that make connections between nondeterminstic computing, deep learning, probabilistic inference, and perception for robotics.
I’m proud to be a recipient of the Qualcomm Innovation Fellowship. 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.
This summer (2023), I look forward to working as an Applied Scientist Intern at Amazon Lab126 under the direction of Dr. Aravindhan Krishnan and Dr. Shreekant Gayaka.
Are you a University of Michigan student interested in robotics research, mobile manipulation robots, perception algorithms, or deep learning?
I’m actively looking for motivated students who are interested in collaborating on ongoing research projects. If this sounds of interest, kindly fill out this scheduling form and I will be happy to discuss potential opportunities with you.
I’m excited to be co-organizing the workshop on Differentiable Probabilistic Robotics: Emerging Perspectives on Robot Learning as a part of the IEEE / RSJ International Conference on Intelligent Robots and Systems (IROS) to be held in Detroit, Michigan in October, 2023.
Peer-Reviewed Conference Proceedings
A Reconfigurable Hardware Library for Robot Scene Perception.
Yanqi Liu, Anthony Opipari, Odest Chadwicke Jenkins, Ruth Iris Bahar.
IEEE / ACM International Conference on Computer-Aided Design. 2022.
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.
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.
Systems and Methods for Detection of Concealed Threats.
Marianne A. DeAngelus, Justin Goodwin, Neela Kaushik, Anthony Opipari, Taylor Killian.
United States Patent and Trademark Office: US-20220334243-A1. 2022.