About

I’m an Applied Scientist at Amazon Fauna Robotics. I earned my PhD in Computer Science and Engineering at the University of Michigan, advised by Professor Chad Jenkins, and was proud to be a recipient of the Qualcomm Innovation Fellowship. My doctoral research focused on open-world semantic perception and robotic mapping, culminating in my dissertation, Temporally Robust Perception for Generalization across Robot Embodiments.

Before that, I earned my BSE (2014–2018) and MSE (2019–2020) in computer science at Michigan, and between degree programs I worked on applied machine learning research at MIT Lincoln Laboratory.

Experience

  • Amazon Fauna Robotics
    Applied Scientist
    Jul 2026 – Present
  • Amazon Lab126
    Applied Scientist Intern
    May 2025 – Aug 2025Jun 2024 – Sep 2024May 2023 – Sep 2023
  • MIT Lincoln Laboratory
    Associate Staff · Assistant Staff
    Jan 2021 – Aug 2021Jun 2018 – Jul 2019
  • RightHook, Inc.
    Software Engineering Intern
    Sep 2017 – Dec 2017
  • Ford Motor Company
    Software Engineering Intern
    May 2017 – Jul 2017
  • Economics Study on Bias in Hiring
    Research consultant
    Jan 2024 – Nov 2024

Education

Publications

2026

  1. P6
    AI-Assisted Peer Review at Scale: The AAAI-26 AI Review Pilot
    Joydeep Biswas, Sheila Schoepp, Gautham Vasan, Anthony Opipari, Arthur Zhang, Zichao Hu, Sebastian Joseph, Matthew Lease, Junyi Jessy Li, Peter Stone, Kiri L. Wagstaff, Matthew E. Taylor, Odest Chadwicke Jenkins
    arXiv preprint arXiv:2604.13940

2025

  1. J4
    Explicit Memory Through Online 3D Gaussian Splatting Improves Class-Agnostic Video Segmentation
    Anthony Opipari, Aravindhan K. Krishnan, Shreekant Gayaka, Min Sun, Cheng-Hao Kuo, Arnie Sen, Odest Chadwicke Jenkins
    IEEE Robotics and Automation Letters (RA-L)
  2. C5
    OVAL-Grasp: Open-Vocabulary Affordance Localization for Task Oriented Grasping
    Edmond Tong, Advaith Balaji, Anthony Opipari, Stanley Lewis, Zhen Zeng, Odest Chadwicke Jenkins
    International Symposium on Experimental Robotics (ISER)

2024

  1. J3
    Configurable Embodied Data Generation for Class-Agnostic RGB-D Video Segmentation
    Anthony Opipari, Aravindhan K. Krishnan, Shreekant Gayaka, Min Sun, Cheng-Hao Kuo, Arnie Sen, Odest Chadwicke Jenkins
    IEEE Robotics and Automation Letters (RA-L)
  2. J2
    DNBP: Differentiable Nonparametric Belief Propagation
    Anthony Opipari, Jana Pavlasek, Chao Chen, Shoutian Wang, Karthik Desingh, Odest Chadwicke Jenkins
    ACM / IMS Journal of Data Science (JDS)
  3. W7
    SO(2)-Equivariant Single-View 3D Reconstruction via Gaussian Sculpting Networks
    Ruihan Xu, Anthony Opipari, Joshua Mah, Stanley Lewis, Haoran Zhang, Hanzhe Guo, Odest Chadwicke Jenkins
    Geometric and Algebraic Structure in Robot Learning (RSS)
  4. W6
    OVAL-Prompt: Open-Vocabulary Affordance Localization for Robot Manipulation through LLM Affordance-Grounding
    Edmond Tong, Anthony Opipari, Stanley Lewis, Zhen Zeng, Odest Chadwicke Jenkins
    Vision-Language Models for Navigation and Manipulation (IEEE ICRA)

2023

  1. W5
    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)

2022

  1. C4
    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 (ICCAD)
  2. C3
    ClearPose: Large-scale Transparent Object Dataset and Benchmark
    Xiaotong Chen, Huijie Zhang, Zeren Yu, Anthony Opipari, Odest Chadwicke Jenkins
    ECVA European Conference on Computer Vision (ECCV)
  3. C2
    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
  4. W4
    TransNet: Category-Level Transparent Object Pose Estimation
    Huijie Zhang, Anthony Opipari, Xiaotong Chen, Jiyue Zhu, Zeren Yu, Odest Chadwicke Jenkins
    7th International Workshop on Recovering 6D Object Pose (ECVA ECCV)
  5. W3
    NeRF-Frenemy: Co-Opting Adversarial Learning for Autonomy-Directed Co-Design
    Stanley Lewis, Bahaa Aldeeb, Anthony Opipari, Elizabeth Olson, Cameron Kisailus, Odest Chadwicke Jenkins
    Implicit Representations for Robotic Manipulation (RSS)
  6. W2
    Differentiable Nonparametric Belief Propagation
    Anthony Opipari, Jana Pavlasek, Chao Chen, Shoutian Wang, Karthik Desingh, Odest Chadwicke Jenkins
    Robotic Perception and Mapping: Emerging Techniques (IEEE ICRA)
  7. P1
    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

2019

  1. J1
    Efficient Nonparametric Belief Propagation for Pose Estimation and Manipulation of Articulated Objects
    Karthik Desingh, Shiyang Lu, Anthony Opipari, Odest Chadwicke Jenkins
    Science Robotics
  2. C1
    Factored Pose Estimation of Articulated Objects using Efficient Nonparametric Belief Propagation
    Karthik Desingh, Shiyang Lu, Anthony Opipari, Odest Chadwicke Jenkins
    IEEE International Conference on Robotics and Automation (ICRA)

2018

  1. W1
    Analysis of Goal-Directed Manipulation in Clutter using Scene Graph Belief Propagation
    Karthik Desingh, Anthony Opipari, Odest Chadwicke Jenkins
    Multimodal Robot Perception (IEEE ICRA)
  2. P1
    Pull Message Passing for Nonparametric Belief Propagation
    Karthik Desingh, Anthony Opipari, Odest Chadwicke Jenkins
    arXiv preprint arXiv:1807.10487

Teaching

Service & Organizing