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
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Amazon Fauna RoboticsApplied ScientistJul 2026 – Present -
Amazon Lab126Applied Scientist InternMay 2025 – Aug 2025Jun 2024 – Sep 2024May 2023 – Sep 2023 -
MIT Lincoln LaboratoryAssociate Staff · Assistant StaffJan 2021 – Aug 2021Jun 2018 – Jul 2019 -
RightHook, Inc.Software Engineering InternSep 2017 – Dec 2017 -
Ford Motor CompanySoftware Engineering InternMay 2017 – Jul 2017 -
Economics Study on Bias in HiringResearch consultantJan 2024 – Nov 2024
Education
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PhD, Computer ScienceUniversity of MichiganDissertation: Temporally Robust Perception for Generalization across Robot Embodiments ↗Sep 2021 – Jun 2026 -
MSE, Computer ScienceUniversity of MichiganSep 2019 – Dec 2020 -
BSE, Computer ScienceUniversity of MichiganSep 2014 – Apr 2018
Publications
2026
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P6
AI-Assisted Peer Review at Scale: The AAAI-26 AI Review PilotarXiv preprint arXiv:2604.13940arXiv
BibTeX
@misc{biswas2026aireview, title={AI-Assisted Peer Review at Scale: The AAAI-26 AI Review Pilot}, author={Biswas, Joydeep and Schoepp, Sheila and Vasan, Gautham and Opipari, Anthony and Zhang, Arthur and Hu, Zichao and Joseph, Sebastian and Lease, Matthew and Li, Junyi Jessy and Stone, Peter and Wagstaff, Kiri L. and Taylor, Matthew E. and Jenkins, Odest Chadwicke}, year={2026}, eprint={2604.13940}, archivePrefix={arXiv}, doi={10.48550/arXiv.2604.13940} }
2025
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J4
Explicit Memory Through Online 3D Gaussian Splatting Improves Class-Agnostic Video SegmentationIEEE Robotics and Automation Letters (RA-L)Paper arXiv
BibTeX
@article{opipari2025fastsamsplat, author={Opipari, Anthony and Krishnan, Aravindhan K and Gayaka, Shreekant and Sun, Min and Kuo, Cheng-Hao and Sen, Arnie and Jenkins, Odest Chadwicke}, journal={IEEE Robotics and Automation Letters}, title={Explicit Memory Through Online 3D Gaussian Splatting Improves Class-Agnostic Video Segmentation}, year={2025}, doi={10.1109/LRA.2025.3619783} } -
C5
OVAL-Grasp: Open-Vocabulary Affordance Localization for Task Oriented GraspingInternational Symposium on Experimental Robotics (ISER)
2024
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J3
Configurable Embodied Data Generation for Class-Agnostic RGB-D Video SegmentationIEEE Robotics and Automation Letters (RA-L)Project Paper arXiv Code
BibTeX
@article{opipari2024mvpd, author={Opipari, Anthony and Krishnan, Aravindhan K and Gayaka, Shreekant and Sun, Min and Kuo, Cheng-Hao and Sen, Arnie and Jenkins, Odest Chadwicke}, journal={IEEE Robotics and Automation Letters}, title={Configurable Embodied Data Generation for Class-Agnostic RGB-D Video Segmentation}, year={2024}, doi={10.1109/LRA.2024.3486213} } -
J2
DNBP: Differentiable Nonparametric Belief PropagationACM / IMS Journal of Data Science (JDS)Project Paper arXiv Code
BibTeX
@article{10.1145/3592762, author = {Opipari, Anthony and Pavlasek, Jana and Chen, Chao and Wang, Shoutian and Desingh, Karthik and Jenkins, Odest Chadwicke}, title = {DNBP: Differentiable Nonparametric Belief Propagation}, year = {2024}, issue_date = {March 2024}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, volume = {1}, number = {1}, url = {https://doi.org/10.1145/3592762}, doi = {10.1145/3592762}, journal = {ACM / IMS J. Data Sci.}, month = {jan}, articleno = {3}, numpages = {24} } -
W7
SO(2)-Equivariant Single-View 3D Reconstruction via Gaussian Sculpting NetworksGeometric and Algebraic Structure in Robot Learning (RSS)Paper arXiv
BibTeX
@inproceedings{xu2024soequivariant, title={{SO}(2)-Equivariant Single-View 3D Reconstruction via Gaussian Sculpting Networks}, author={Ruihan Xu and Anthony Opipari and Joshua Mah and Stanley Robert Lewis and Haoran Zhang and Hanzhe Guo and Odest Chadwicke Jenkins}, booktitle={RSS 2024 Workshop on Geometric and Algebraic Structure in Robot Learning}, year={2024}, url={https://openreview.net/forum?id=pyySfCzP8F} } -
W6
OVAL-Prompt: Open-Vocabulary Affordance Localization for Robot Manipulation through LLM Affordance-GroundingVision-Language Models for Navigation and Manipulation (IEEE ICRA)Project Paper arXiv
BibTeX
@inproceedings{tong2024oval, title={OVAL-Prompt: Open-Vocabulary Affordance Localization for Robot Manipulation through LLM Affordance-Grounding}, author={Edmond Tong and Anthony Opipari and Stanley Lewis and Zhen Zeng and Odest Chadwicke Jenkins}, booktitle={Workshop on Vision-Language Models for Navigation and Manipulation at ICRA 2024}, year={2024} }
2023
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W5
Visual Robot Pose Tracking through Counter-Hypothetical Nonparametric Belief PropagationDistributed Graph Algorithms for Robotics (IEEE ICRA)Paper
BibTeX
@inproceedings{olson2023visual, title={Visual Robot Pose Tracking through Counter-Hypothetical Nonparametric Belief Propagation}, author={Elizabeth Olson and John Arden Knoll and Anthony Opipari and Grant Gibson and Odest Jenkins}, booktitle={Workshop on Distributed Graph Algorithms for Robotics at ICRA 2023}, year={2023}, url={https://openreview.net/forum?id=rkU8gnHOFz} }
2022
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C4
A Reconfigurable Hardware Library for Robot Scene PerceptionIEEE / ACM International Conference on Computer-Aided Design (ICCAD)Project Paper
BibTeX
@inproceedings{doi:10.1145/3508352.3561110, author = {Liu, Yanqi and Opipari, Anthony and Jenkins, Odest Chadwicke and Bahar, R. Iris}, title = {A Reconfigurable Hardware Library for Robot Scene Perception}, year = {2022}, isbn = {9781450392174}, publisher = {Association for Computing Machinery}, url = {https://doi.org/10.1145/3508352.3561110}, doi = {10.1145/3508352.3561110}, booktitle = {Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design} } -
C3
ClearPose: Large-scale Transparent Object Dataset and BenchmarkECVA European Conference on Computer Vision (ECCV)Project arXiv Code Talk
BibTeX
@inproceedings{chen2022clearpose, title = {ClearPose: Large-scale Transparent Object Dataset and Benchmark}, author = {Chen, Xiaotong and Zhang, Huijie and Yu, Zeren and Opipari, Anthony and Jenkins, Odest Chadwicke}, booktitle = {European Conference on Computer Vision}, year = {2022} } -
C2
Hardware Acceleration of Nonparametric Belief Propagation for Efficient Robot ManipulationACM / SIGDA International Symposium on Field-Programmable Gate ArraysPaper
BibTeX
@inproceedings{doi:10.1145/3490422.3502329, author = {Liu, Yanqi and Opipari, Anthony and Guerin, Theo and Bahar, Ruth Iris}, title = {Hardware Acceleration of Nonparametric Belief Propagation for Efficient Robot Manipulation}, year = {2022}, isbn = {9781450391498}, publisher = {Association for Computing Machinery}, url = {https://doi.org/10.1145/3490422.3502329}, doi = {10.1145/3490422.3502329} } -
W4
TransNet: Category-Level Transparent Object Pose Estimation7th International Workshop on Recovering 6D Object Pose (ECVA ECCV)Project arXiv Talk
BibTeX
@inproceedings{zhang2022transnet, title={TransNet: Category-Level Transparent Object Pose Estimation}, author={Zhang, Huijie and Opipari, Anthony and Chen, Xiaotong and Zhu, Jiyue and Yu, Zeren and Jenkins, Odest Chadwicke}, booktitle={ECCV 7th International Workshop on Recovering 6D Object Pose}, year={2022} } -
W3
NeRF-Frenemy: Co-Opting Adversarial Learning for Autonomy-Directed Co-DesignImplicit Representations for Robotic Manipulation (RSS)Project Paper Code
BibTeX
@article{lewis2022nerfrenemy, author = {Lewis, Stanley and Aldeeb, Bahaa and Opipari, Anthony and Olson, Elizabeth and Kisailus, Cameron and Jenkins, Odest Chadwicke}, title = {NeRF-Frenemy: Co-Opting Adversarial Learning for Autonomy-Directed Co-Design}, year = {2022}, journal={RSS Workshop-Implicit Representations for Robotic Manipulation} } -
W2
Differentiable Nonparametric Belief PropagationRobotic Perception and Mapping: Emerging Techniques (IEEE ICRA)Project arXiv Code Talk
BibTeX
@article{opipari2022dnbp, author = {Opipari, Anthony and Pavlasek, Jana and Chen, Chao and Wang, Shoutian and Desingh, Karthik and Jenkins, Odest Chadwicke}, title = {Differentiable Nonparametric Belief Propagation}, year = {2022}, journal={ICRA Workshop: Robotic Perception and Mapping: Emerging Techniques} } -
P1
Systems and Methods for Detection of Concealed ThreatsUnited States Patent and Trademark Office: US-20220334243-A1
2019
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J1
Efficient Nonparametric Belief Propagation for Pose Estimation and Manipulation of Articulated ObjectsScience RoboticsPaper arXiv Talk
BibTeX
@article{doi:10.1126/scirobotics.aaw4523, author = {Karthik Desingh and Shiyang Lu and Anthony Opipari and Odest Chadwicke Jenkins }, title = {Efficient nonparametric belief propagation for pose estimation and manipulation of articulated objects}, journal = {Science Robotics}, volume = {4}, number = {30}, year = {2019}, doi = {10.1126/scirobotics.aaw4523}, URL = {https://www.science.org/doi/abs/10.1126/scirobotics.aaw4523}, eprint = {https://www.science.org/doi/pdf/10.1126/scirobotics.aaw4523} } -
C1
Factored Pose Estimation of Articulated Objects using Efficient Nonparametric Belief PropagationIEEE International Conference on Robotics and Automation (ICRA)Paper arXiv Talk
BibTeX
@inproceedings{desingh2019factored, author = {Desingh, Karthik and Lu, Shiyang and Opipari, Anthony and Jenkins, Odest Chadwicke}, booktitle = {2019 International Conference on Robotics and Automation (ICRA)}, title = {Factored Pose Estimation of Articulated Objects using Efficient Nonparametric Belief Propagation}, year = {2019}, pages = {7221-7227}, doi = {10.1109/ICRA.2019.8793973} }
2018
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W1
Analysis of Goal-Directed Manipulation in Clutter using Scene Graph Belief PropagationMultimodal Robot Perception (IEEE ICRA)Paper
BibTeX
@article{desingh2018analysis, title={Analysis of Goal-directed Manipulation in Clutter using Scene Graph Belief Propagation}, author={Desingh, Karthik and Opipari, Anthony and Jenkins, Odest Chadwicke} year = {2018}, journal={ICRA Workshop: Multimodal Robot Perception} } - P1
Teaching
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DeepRob: Deep Learning for Robot PerceptionSecondary Instructor · Instructor of RecordWinter 2025Winter 2024Winter 2023
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AutoRob: Robot Operating SystemsInstructor of RecordWinter 2022
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Advanced CryptographyGrad. Student InstructorFall 2021
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AutoRob: Robot Kinematics and DynamicsGrad. Student InstructorFall 2019
Service & Organizing
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IEEE RAS Technical Committee for Computer & Robot VisionStudent RepresentativeApr 2024 – Present -
Amazon Campus Brand AmbassadorCampus Brand AmbassadorApr 2025 – Apr 2026 -
AAAI-26 Conference on Artificial IntelligenceWorkflow ChairApr 2025 – Jan 2026 -
ICRA'24 -
IROS'23