A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions.

Anirudha Majumdar Princeton University, Mechanical and Aerospace Engineering, USA https://irom-lab.princeton.edu/majumdar/ https://scholar.google.com/citations?user=ibu3FwsAAAAJ https://orcid.org/0000-0002-9383-6071

Ola Shorinwa Zhiting Mei Justin Lidard Allen Z. Ren Anirudha Majumdar A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions. 63:1-63:38 2026 February 58 ACM Comput. Surv. 3 https://doi.org/10.1145/3744238 db/journals/csur/csur58.html#ShorinwaMLRM26 streams/journals/csur

Zhiting Mei Anushri Dixit Meghan Booker Emily Zhou Mariko Storey-Matsutani Allen Z. Ren Ola Shorinwa Anirudha Majumdar Perceive with confidence: Statistical safety assurances for navigation with learning-based perception. 2026 938-967 45 Int. J. Robotics Res. 6 https://doi.org/10.1177/02783649251378151 db/journals/ijrr/ijrr45.html#MeiDBZSRSM26 streams/journals/ijrr

Zhiting Mei Christina Zhang Tenny Yin Justin Lidard Ola Shorinwa Anirudha Majumdar Reasoning about Uncertainty: Do Reasoning Models Know When They Don't Know? EACL (Findings) 2026 3408-3458 conf/eacl/2026f https://doi.org/10.18653/v1/2026.findings-eacl.178 https://aclanthology.org/2026.findings-eacl.178/ db/conf/eacl/eacl2026f.html#MeiZYLSM26 streams/conf/eacl

Zhiting Mei Tenny Yin Ola Shorinwa Apurva Badithela Zhonghe Zheng Joseph Bruno Madison Bland Lihan Zha Asher J. Hancock Jaime Fernández Fisac Philip M. Dames Anirudha Majumdar Video Generation Models in Robotics - Applications, Research Challenges, Future Directions. 2026 January abs/2601.07823 CoRR https://doi.org/10.48550/arXiv.2601.07823 db/journals/corr/corr2601.html#abs-2601-07823 streams/journals/corr

Lihan Zha Asher J. Hancock Mingtong Zhang Tenny Yin Yixuan Huang Dhruv Shah Allen Z. Ren Anirudha Majumdar LAP: Language-Action Pre-Training Enables Zero-shot Cross-Embodiment Transfer. 2026 February abs/2602.10556 CoRR https://doi.org/10.48550/arXiv.2602.10556 db/journals/corr/corr2602.html#abs-2602-10556 streams/journals/corr

Tenny Yin Zhiting Mei Zhonghe Zheng Miyu Yamane David Wang Jade Sceats Samuel M. Bateman Lihan Zha Apurva Badithela Ola Shorinwa Anirudha Majumdar PlayWorld: Learning Robot World Models from Autonomous Play. 2026 March abs/2603.09030 CoRR https://doi.org/10.48550/arXiv.2603.09030 db/journals/corr/corr2603.html#abs-2603-09030 streams/journals/corr

David Snyder Apurva Badithela Nikolai Matni George J. Pappas Anirudha Majumdar Masha Itkina Haruki Nishimura Beyond Binary Success: Sample-Efficient and Statistically Rigorous Robot Policy Comparison. 2026 March abs/2603.13616 CoRR https://doi.org/10.48550/arXiv.2603.13616 db/journals/corr/corr2603.html#abs-2603-13616 streams/journals/corr

Roya Firoozi John Tucker 0001 Stephen Tian Anirudha Majumdar Jiankai Sun Weiyu Liu Yuke Zhu Shuran Song Ashish Kapoor Karol Hausman Brian Ichter Danny Driess Jiajun Wu 0001 Cewu Lu Mac Schwager Foundation models in robotics: Applications, challenges, and the future. 701-739 2025 44 Int. J. Robotics Res. 5 https://doi.org/10.1177/02783649241281508 db/journals/ijrr/ijrr44.html#FirooziTTMSLZSKHIDWLS25 streams/journals/ijrr

Alec Farid Sushant Veer Divyanshu Pachisia Anirudha Majumdar Task-Driven Detection of Distribution Shifts With Statistical Guarantees for Robot Learning. 926-945 2025 41 IEEE Trans. Robotics https://doi.org/10.1109/TRO.2024.3521963 db/journals/trob/trob41.html#FaridVPM25 streams/journals/trob

Y. Isabel Liu Windsor Nguyen Yagiz Devre Evan Dogariu Anirudha Majumdar Elad Hazan Flash STU: Fast Spectral Transform Units. 165-171 2025 CDC https://doi.org/10.1109/CDC57313.2025.11312729 conf/cdc/2025 db/conf/cdc/cdc2025.html#LiuNDDMH25 streams/conf/cdc Allen Z. Ren Justin Lidard Lars Lien Ankile Anthony Simeonov Pulkit Agrawal 0001 Anirudha Majumdar Benjamin Burchfiel Hongkai Dai Max Simchowitz Diffusion Policy Policy Optimization. 2025 ICLR https://openreview.net/forum?id=mEpqHvbD2h conf/iclr/2025 db/conf/iclr/iclr2025.html#RenLAS0MBDS25 Asher J. Hancock Allen Z. Ren Anirudha Majumdar Run-time Observation Interventions Make Vision-Language-Action Models More Visually Robust. 9499-9506 2025 ICRA https://doi.org/10.1109/ICRA55743.2025.11128017 conf/icra/2025 db/conf/icra/icra2025.html#HancockRM25 streams/conf/icra

Ola Shorinwa Jiankai Sun Mac Schwager Anirudha Majumdar SIREN: Semantic, Initialization-Free Registration of Multi-Robot Gaussian Splatting Maps. 2025 February abs/2502.06519 CoRR https://doi.org/10.48550/arXiv.2502.06519 db/journals/corr/corr2502.html#abs-2502-06519 streams/journals/corr

Anirudha Majumdar Mohit Sharma 0001 Dmitry Kalashnikov Sumeet Singh Pierre Sermanet Vikas Sindhwani Predictive Red Teaming: Breaking Policies Without Breaking Robots. 2025 February abs/2502.06575 CoRR https://doi.org/10.48550/arXiv.2502.06575 db/journals/corr/corr2502.html#abs-2502-06575 streams/journals/corr

Pierre Sermanet Anirudha Majumdar Alex Irpan Dmitry Kalashnikov Vikas Sindhwani Generating Robot Constitutions & Benchmarks for Semantic Safety. 2025 March abs/2503.08663 CoRR https://doi.org/10.48550/arXiv.2503.08663 db/journals/corr/corr2503.html#abs-2503-08663 streams/journals/corr

Pierre Sermanet Anirudha Majumdar Vikas Sindhwani SciFi-Benchmark: How Would AI-Powered Robots Behave in Science Fiction Literature? 2025 March abs/2503.10706 CoRR https://doi.org/10.48550/arXiv.2503.10706 db/journals/corr/corr2503.html#abs-2503-10706 streams/journals/corr

David Snyder Asher J. Hancock Apurva Badithela Emma Dixon Patrick Tree Miller Rares Andrei Ambrus Anirudha Majumdar Masha Itkina Haruki Nishimura Is Your Imitation Learning Policy Better than Mine? Policy Comparison with Near-Optimal Stopping. 2025 March abs/2503.10966 CoRR https://doi.org/10.48550/arXiv.2503.10966 db/journals/corr/corr2503.html#abs-2503-10966 streams/journals/corr

Lihan Zha Apurva Badithela Michael Zhang Justin Lidard Jeremy Bao Emily Zhou David Snyder Allen Z. Ren Dhruv Shah Anirudha Majumdar Guiding Data Collection via Factored Scaling Curves. 2025 May abs/2505.07728 CoRR https://doi.org/10.48550/arXiv.2505.07728 db/journals/corr/corr2505.html#abs-2505-07728 streams/journals/corr

Bowen Feng Zhiting Mei Baiang Li Julian Ost Roger Girgis Anirudha Majumdar Felix Heide VERDI: VLM-Embedded Reasoning for Autonomous Driving. 2025 May abs/2505.15925 CoRR https://doi.org/10.48550/arXiv.2505.15925 db/journals/corr/corr2505.html#abs-2505-15925 streams/journals/corr

Tenny Yin Zhiting Mei Tao Sun Lihan Zha Emily Zhou Jeremy Bao Miyu Yamane Ola Shorinwa Anirudha Majumdar WoMAP: World Models For Embodied Open-Vocabulary Object Localization. 2025 June abs/2506.01600 CoRR https://doi.org/10.48550/arXiv.2506.01600 db/journals/corr/corr2506.html#abs-2506-01600 streams/journals/corr

Zhiting Mei Christina Zhang Tenny Yin Justin Lidard Ola Shorinwa Anirudha Majumdar Reasoning about Uncertainty: Do Reasoning Models Know When They Don't Know? 2025 June abs/2506.18183 CoRR https://doi.org/10.48550/arXiv.2506.18183 db/journals/corr/corr2506.html#abs-2506-18183 streams/journals/corr

Anirudha Majumdar Deceptive Risk Minimization: Out-of-Distribution Generalization by Deceiving Distribution Shift Detectors. 2025 September abs/2509.12081 CoRR https://doi.org/10.48550/arXiv.2509.12081 db/journals/corr/corr2509.html#abs-2509-12081 streams/journals/corr

Abhishek Jindal Dmitry Kalashnikov Oscar Chang Divya Garikapati Anirudha Majumdar Pierre Sermanet Vikas Sindhwani Can AI Perceive Physical Danger and Intervene? 2025 September abs/2509.21651 CoRR https://doi.org/10.48550/arXiv.2509.21651 db/journals/corr/corr2509.html#abs-2509-21651 streams/journals/corr

Asher J. Hancock Xindi Wu Lihan Zha Olga Russakovsky Anirudha Majumdar Actions as Language: Fine-Tuning VLMs into VLAs Without Catastrophic Forgetting. 2025 September abs/2509.22195 CoRR https://doi.org/10.48550/arXiv.2509.22195 db/journals/corr/corr2509.html#abs-2509-22195 streams/journals/corr

Zhiting Mei Ola Shorinwa Anirudha Majumdar How Confident are Video Models? Empowering Video Models to Express their Uncertainty. 2025 October abs/2510.02571 CoRR https://doi.org/10.48550/arXiv.2510.02571 db/journals/corr/corr2510.html#abs-2510-02571 streams/journals/corr

Zhiting Mei Ola Shorinwa Anirudha Majumdar Geometry Meets Vision: Revisiting Pretrained Semantics in Distilled Fields. 2025 October abs/2510.03104 CoRR https://doi.org/10.48550/arXiv.2510.03104 db/journals/corr/corr2510.html#abs-2510-03104 streams/journals/corr

Apurva Badithela David Snyder Lihan Zha Joseph Mikhail Matthew O'Kelly Anushri Dixit Anirudha Majumdar Reliable and Scalable Robot Policy Evaluation with Imperfect Simulators. 2025 October abs/2510.04354 CoRR https://doi.org/10.48550/arXiv.2510.04354 db/journals/corr/corr2510.html#abs-2510-04354 streams/journals/corr

Zhiting Mei Tenny Yin Micah Baker Ola Shorinwa Anirudha Majumdar World Models That Know When They Don't Know: Controllable Video Generation with Calibrated Uncertainty. 2025 December abs/2512.05927 CoRR https://doi.org/10.48550/arXiv.2512.05927 db/journals/corr/corr2512.html#abs-2512-05927 streams/journals/corr

Kai-Chieh Hsu Allen Z. Ren Duy Phuong Nguyen Anirudha Majumdar Jaime F. Fisac Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees (Abstract Reprint). 22699 2024 AAAI https://doi.org/10.1609/aaai.v38i20.30599 conf/aaai/2024 db/conf/aaai/aaai2024.html#HsuRNMF24 Anushri Dixit Zhiting Mei Meghan Booker Mariko Storey-Matsutani Allen Z. Ren Anirudha Majumdar Perceive With Confidence: Statistical Safety Assurances for Navigation with Learning-Based Perception. 2517-2541 2024 CoRL https://proceedings.mlr.press/v270/dixit25a.html conf/corl/2024 db/conf/corl/corl2024.html#DixitMBSRM24 Jensen Gao Bidipta Sarkar Fei Xia 0002 Ted Xiao Jiajun Wu 0001 Brian Ichter Anirudha Majumdar Dorsa Sadigh Physically Grounded Vision-Language Models for Robotic Manipulation. 12462-12469 2024 ICRA https://doi.org/10.1109/ICRA57147.2024.10610090 conf/icra/2024 db/conf/icra/icra2024.html#GaoSXX0IMS24 Eric Lepowsky David Snyder Alexander Glaser Anirudha Majumdar Privacy-Preserving Map-Free Exploration for Confirming the Absence of a Radioactive Source. 10073-10080 2024 IROS https://doi.org/10.1109/IROS58592.2024.10802428 conf/iros/2024 db/conf/iros/iros2024.html#LepowskySGM24 Justin Lidard Hang Pham Ariel Bachman Bryan Boateng Anirudha Majumdar Risk-Calibrated Human-Robot Interaction via Set-Valued Intent Prediction. 2024 Robotics: Science and Systems https://doi.org/10.15607/RSS.2024.XX.027 conf/rss/2024 db/conf/rss/rss2024.html#LidardPBBM24 Allen Z. Ren Jaden Clark Anushri Dixit Masha Itkina Anirudha Majumdar Dorsa Sadigh Explore until Confident: Efficient Exploration for Embodied Question Answering. 2024 Robotics: Science and Systems https://doi.org/10.15607/RSS.2024.XX.089 conf/rss/2024 db/conf/rss/rss2024.html#RenCDIMS24

Eric Lepowsky David Snyder Alexander Glaser Anirudha Majumdar Privacy-Preserving Map-Free Exploration for Confirming the Absence of a Radioactive Source. 2024 abs/2402.17130 CoRR https://doi.org/10.48550/arXiv.2402.17130 db/journals/corr/corr2402.html#abs-2402-17130

Anushri Dixit Zhiting Mei Meghan Booker Mariko Storey-Matsutani Allen Z. Ren Anirudha Majumdar Perceive With Confidence: Statistical Safety Assurances for Navigation with Learning-Based Perception. 2024 abs/2403.08185 CoRR https://doi.org/10.48550/arXiv.2403.08185 db/journals/corr/corr2403.html#abs-2403-08185

Allen Z. Ren Jaden Clark Anushri Dixit Masha Itkina Anirudha Majumdar Dorsa Sadigh Explore until Confident: Efficient Exploration for Embodied Question Answering. 2024 abs/2403.15941 CoRR https://doi.org/10.48550/arXiv.2403.15941 db/journals/corr/corr2403.html#abs-2403-15941

Justin Lidard Hang Pham Ariel Bachman Bryan Boateng Anirudha Majumdar Risk-Calibrated Human-Robot Interaction via Set-Valued Intent Prediction. 2024 abs/2403.15959 CoRR https://doi.org/10.48550/arXiv.2403.15959 db/journals/corr/corr2403.html#abs-2403-15959

Allen Z. Ren Justin Lidard Lars Ankile Anthony Simeonov Pulkit Agrawal 0001 Anirudha Majumdar Benjamin Burchfiel Hongkai Dai Max Simchowitz Diffusion Policy Policy Optimization. 2024 abs/2409.00588 CoRR https://doi.org/10.48550/arXiv.2409.00588 db/journals/corr/corr2409.html#abs-2409-00588 streams/journals/corr

Y. Isabel Liu Windsor Nguyen Yagiz Devre Evan Dogariu Anirudha Majumdar Elad Hazan Flash STU: Fast Spectral Transform Units. 2024 abs/2409.10489 CoRR https://doi.org/10.48550/arXiv.2409.10489 db/journals/corr/corr2409.html#abs-2409-10489 streams/journals/corr

Asher J. Hancock Allen Z. Ren Anirudha Majumdar Run-time Observation Interventions Make Vision-Language-Action Models More Visually Robust. 2024 abs/2410.01971 CoRR https://doi.org/10.48550/arXiv.2410.01971 db/journals/corr/corr2410.html#abs-2410-01971 streams/journals/corr

Allen Z. Ren Brian Ichter Anirudha Majumdar Thinking Forward and Backward: Effective Backward Planning with Large Language Models. 2024 abs/2411.01790 CoRR https://doi.org/10.48550/arXiv.2411.01790 db/journals/corr/corr2411.html#abs-2411-01790 streams/journals/corr

Ola Shorinwa Zhiting Mei Justin Lidard Allen Z. Ren Anirudha Majumdar A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions. 2024 abs/2412.05563 CoRR https://doi.org/10.48550/arXiv.2412.05563 db/journals/corr/corr2412.html#abs-2412-05563 streams/journals/corr

Kai-Chieh Hsu Allen Z. Ren Duy Phuong Nguyen Anirudha Majumdar Jaime F. Fisac Sim-to-Lab-to-Real: Safe reinforcement learning with shielding and generalization guarantees. 103811 2023 314 Artif. Intell. https://doi.org/10.1016/j.artint.2022.103811 db/journals/ai/ai314.html#HsuRNMF23

Sumeet Singh Benoit Landry Anirudha Majumdar Jean-Jacques E. Slotine Marco Pavone 0001 Robust feedback motion planning via contraction theory. 655-688 2023 August 42 Int. J. Robotics Res. 9 https://doi.org/10.1177/02783649231186165 db/journals/ijrr/ijrr42.html#SinghLMSP23

Anirudha Majumdar Zhiting Mei Vincent Pacelli Fundamental limits for sensor-based robot control. 1051-1069 2023 October 42 Int. J. Robotics Res. 12 https://doi.org/10.1177/02783649231190947 db/journals/ijrr/ijrr42.html#MajumdarMP23

Allen Z. Ren Anushri Dixit Alexandra Bodrova Sumeet Singh Stephen Tu Noah Brown Peng Xu 0010 Leila Takayama Fei Xia 0002 Jake Varley Zhenjia Xu Dorsa Sadigh Andy Zeng 0001 Anirudha Majumdar Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners. 661-682 2023 CoRL https://proceedings.mlr.press/v229/ren23a.html conf/corl/2023 db/conf/corl/corl2023.html#RenDBSTBXTXVXSZ23 David Snyder Meghan Booker Nathaniel Simon Wenhan Xia Daniel Suo Elad Hazan Anirudha Majumdar Online Learning for Obstacle Avoidance. 2926-2954 2023 CoRL https://proceedings.mlr.press/v229/snyder23a.html conf/corl/2023 db/conf/corl/corl2023.html#SnyderBSXSHM23 Allen Z. Ren Hongkai Dai Benjamin Burchfiel Anirudha Majumdar AdaptSim: Task-Driven Simulation Adaptation for Sim-to-Real Transfer. 3434-3452 2023 CoRL https://proceedings.mlr.press/v229/ren23b.html conf/corl/2023 db/conf/corl/corl2023.html#RenDBM23 Anirudha Majumdar Fundamental Tradeoffs in Learning with Prior Information. 23558-23573 2023 ICML https://proceedings.mlr.press/v202/majumdar23a.html conf/icml/2023 db/conf/icml/icml2023.html#Majumdar23 Nathaniel Simon Allen Z. Ren Alexander Piqué David Snyder Daphne Barretto Marcus Hultmark Anirudha Majumdar FlowDrone: Wind Estimation and Gust Rejection on UAVs Using Fast-Response Hot-Wire Flow Sensors. 5393-5399 2023 ICRA https://doi.org/10.1109/ICRA48891.2023.10160454 conf/icra/2023 db/conf/icra/icra2023.html#SimonRPSBHM23 Meghan Booker Anirudha Majumdar Switching Attention in Time-Varying Environments via Bayesian Inference of Abstractions. 10174-10180 2023 ICRA https://doi.org/10.1109/ICRA48891.2023.10161533 conf/icra/2023 db/conf/icra/icra2023.html#BookerM23 Nathaniel Simon Anirudha Majumdar MonoNav: MAV Navigation via Monocular Depth Estimation and Reconstruction. 415-426 2023 ISER https://doi.org/10.1007/978-3-031-63596-0_37 conf/iser/2023 db/conf/iser/iser2023.html#SimonM23 Apoorva Sharma Sushant Veer Asher J. Hancock Heng Yang Marco Pavone 0001 Anirudha Majumdar PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction. 2023 NeurIPS http://papers.nips.cc/paper_files/paper/2023/hash/9235c376df778f1aaf486a882afb7471-Abstract-Conference.html conf/nips/2023 db/conf/nips/neurips2023.html#SharmaVHYPM23

Allen Z. Ren Hongkai Dai Benjamin Burchfiel Anirudha Majumdar AdaptSim: Task-Driven Simulation Adaptation for Sim-to-Real Transfer. 2023 abs/2302.04903 CoRR https://doi.org/10.48550/arXiv.2302.04903 db/journals/corr/corr2302.html#abs-2302-04903

Anirudha Majumdar Fundamental Tradeoffs in Learning with Prior Information. 2023 abs/2304.13479 CoRR https://doi.org/10.48550/arXiv.2304.13479 db/journals/corr/corr2304.html#abs-2304-13479

David Snyder Meghan Booker Nathaniel Simon Wenhan Xia Daniel Suo Elad Hazan Anirudha Majumdar Online Learning for Obstacle Avoidance. 2023 abs/2306.08776 CoRR https://doi.org/10.48550/arXiv.2306.08776 db/journals/corr/corr2306.html#abs-2306-08776

Jensen Gao Bidipta Sarkar Fei Xia 0002 Ted Xiao Jiajun Wu 0001 Brian Ichter Anirudha Majumdar Dorsa Sadigh Physically Grounded Vision-Language Models for Robotic Manipulation. 2023 abs/2309.02561 CoRR https://doi.org/10.48550/arXiv.2309.02561 db/journals/corr/corr2309.html#abs-2309-02561

Nathaniel Simon Anirudha Majumdar MonoNav: MAV Navigation via Monocular Depth Estimation and Reconstruction. 2023 abs/2311.14100 CoRR https://doi.org/10.48550/arXiv.2311.14100 db/journals/corr/corr2311.html#abs-2311-14100

Apoorva Sharma Sushant Veer Asher J. Hancock Heng Yang Marco Pavone 0001 Anirudha Majumdar PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction. 2023 abs/2312.04658 CoRR https://doi.org/10.48550/arXiv.2312.04658 db/journals/corr/corr2312.html#abs-2312-04658

Roya Firoozi Johnathan Tucker 0001 Stephen Tian Anirudha Majumdar Jiankai Sun Weiyu Liu Yuke Zhu Shuran Song Ashish Kapoor Karol Hausman Brian Ichter Danny Driess Jiajun Wu 0001 Cewu Lu Mac Schwager Foundation Models in Robotics: Applications, Challenges, and the Future. 2023 abs/2312.07843 CoRR https://doi.org/10.48550/arXiv.2312.07843 db/journals/corr/corr2312.html#abs-2312-07843

Allen Z. Ren Anirudha Majumdar Distributionally Robust Policy Learning via Adversarial Environment Generation. 1379-1386 2022 7 IEEE Robotics Autom. Lett. 2 https://doi.org/10.1109/LRA.2021.3139949 db/journals/ral/ral7.html#RenM22

Allen Z. Ren Bharat Govil Tsung-Yen Yang Karthik R. Narasimhan Anirudha Majumdar Leveraging Language for Accelerated Learning of Tool Manipulation. 1531-1541 2022 CoRL https://proceedings.mlr.press/v205/ren23a.html conf/corl/2022 db/conf/corl/corl2022.html#RenGYNM22 Vincent Pacelli Anirudha Majumdar Robust Control Under Uncertainty via Bounded Rationality and Differential Privacy. 3467-3474 2022 ICRA https://doi.org/10.1109/ICRA46639.2022.9811557 conf/icra/2022 db/conf/icra/icra2022.html#PacelliM22 Abhinav Agarwal Sushant Veer Allen Z. Ren Anirudha Majumdar Stronger Generalization Guarantees for Robot Learning by Combining Generative Models and Real-World Data. 4414-4421 2022 ICRA https://doi.org/10.1109/ICRA46639.2022.9811565 conf/icra/2022 db/conf/icra/icra2022.html#AgarwalVRM22 Alec Farid David Snyder Allen Z. Ren Anirudha Majumdar Failure Prediction with Statistical Guarantees for Vision-Based Robot Control. 2022 Robotics: Science and Systems https://doi.org/10.15607/RSS.2022.XVIII.042 conf/rss/2022 db/conf/rss/rss2022.html#FaridSRM22 Anirudha Majumdar Vincent Pacelli Fundamental Performance Limits for Sensor-Based Robot Control and Policy Learning. 2022 Robotics: Science and Systems https://doi.org/10.15607/RSS.2022.XVIII.036 conf/rss/2022 db/conf/rss/rss2022.html#MajumdarP22 Michelle Ho Alec Farid Anirudha Majumdar Towards a Framework for Comparing the Complexity of Robotic Tasks. 273-293 2022 WAFR https://doi.org/10.1007/978-3-031-21090-7_17 conf/wafr/2022 db/conf/wafr/wafr2022.html#HoFM22

Kai-Chieh Hsu Allen Z. Ren Duy Phuong Nguyen Anirudha Majumdar Jaime F. Fisac Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees. 2022 abs/2201.08355 CoRR https://arxiv.org/abs/2201.08355 db/journals/corr/corr2201.html#abs-2201-08355

Anirudha Majumdar Vincent Pacelli Fundamental Performance Limits for Sensor-Based Robot Control and Policy Learning. 2022 abs/2202.00129 CoRR https://arxiv.org/abs/2202.00129 db/journals/corr/corr2202.html#abs-2202-00129

Alec Farid David Snyder Allen Z. Ren Anirudha Majumdar Failure Prediction with Statistical Guarantees for Vision-Based Robot Control. 2022 abs/2202.05894 CoRR https://arxiv.org/abs/2202.05894 db/journals/corr/corr2202.html#abs-2202-05894

Michelle Ho Alec Farid Anirudha Majumdar Comparing the Complexity of Robotic Tasks. 2022 abs/2202.09892 CoRR https://arxiv.org/abs/2202.09892 db/journals/corr/corr2202.html#abs-2202-09892

Allen Z. Ren Bharat Govil Tsung-Yen Yang Karthik Narasimhan Anirudha Majumdar Leveraging Language for Accelerated Learning of Tool Manipulation. 2022 abs/2206.13074 CoRR https://doi.org/10.48550/arXiv.2206.13074 db/journals/corr/corr2206.html#abs-2206-13074

Nathaniel Simon Allen Z. Ren Alexander Piqué David Snyder Daphne Barretto Marcus Hultmark Anirudha Majumdar FlowDrone: Wind Estimation and Gust Rejection on UAVs Using Fast-Response Hot-Wire Flow Sensors. 2022 abs/2210.05857 CoRR https://doi.org/10.48550/arXiv.2210.05857 db/journals/corr/corr2210.html#abs-2210-05857

Meghan Booker Anirudha Majumdar Switching Attention in Time-Varying Environments via Bayesian Inference of Abstractions. 2022 abs/2211.05865 CoRR https://doi.org/10.48550/arXiv.2211.05865 db/journals/corr/corr2211.html#abs-2211-05865

Anirudha Majumdar Alec Farid Anoopkumar Sonar PAC-Bayes control: learning policies that provably generalize to novel environments. 2021 40 Int. J. Robotics Res. 2-3 https://doi.org/10.1177/0278364920959444 db/journals/ijrr/ijrr40.html#MajumdarFS21

Alec Farid Sushant Veer Anirudha Majumdar Task-Driven Out-of-Distribution Detection with Statistical Guarantees for Robot Learning. 970-980 2021 CoRL https://proceedings.mlr.press/v164/farid22a.html conf/corl/2021 db/conf/corl/corl2021.html#FaridVM21 Naman Agarwal Elad Hazan Anirudha Majumdar Karan Singh A Regret Minimization Approach to Iterative Learning Control. 100-109 2021 ICML http://proceedings.mlr.press/v139/agarwal21b.html conf/icml/2021 db/conf/icml/icml2021.html#AgarwalHMS21 Anoopkumar Sonar Vincent Pacelli Anirudha Majumdar Invariant Policy Optimization: Towards Stronger Generalization in Reinforcement Learning. 21-33 2021 L4DC http://proceedings.mlr.press/v144/sonar21a.html conf/l4dc/2021 db/conf/l4dc/l4dc2021.html#SonarPM21 Meghan Booker Anirudha Majumdar Learning to Actively Reduce Memory Requirements for Robot Control Tasks. 125-137 2021 L4DC http://proceedings.mlr.press/v144/booker21a.html conf/l4dc/2021 db/conf/l4dc/l4dc2021.html#BookerM21 Udaya Ghai David Snyder Anirudha Majumdar Elad Hazan Generating Adversarial Disturbances for Controller Verification. 1192-1204 2021 L4DC http://proceedings.mlr.press/v144/ghai21a.html conf/l4dc/2021 db/conf/l4dc/l4dc2021.html#GhaiSMH21 Alec Farid Anirudha Majumdar Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability. 2173-2186 2021 NeurIPS https://proceedings.neurips.cc/paper/2021/hash/1102a326d5f7c9e04fc3c89d0ede88c9-Abstract.html conf/nips/2021 db/conf/nips/neurips2021.html#FaridM21

Alec Farid Anirudha Majumdar PAC-BUS: Meta-Learning Bounds via PAC-Bayes and Uniform Stability. 2021 abs/2102.06589 CoRR https://arxiv.org/abs/2102.06589 db/journals/corr/corr2102.html#abs-2102-06589

Paula Gradu John Hallman Daniel Suo Alex Yu Naman Agarwal Udaya Ghai Karan Singh Cyril Zhang Anirudha Majumdar Elad Hazan Deluca - A Differentiable Control Library: Environments, Methods, and Benchmarking. 2021 abs/2102.09968 CoRR https://arxiv.org/abs/2102.09968 db/journals/corr/corr2102.html#abs-2102-09968

Naman Agarwal Elad Hazan Anirudha Majumdar Karan Singh A Regret Minimization Approach to Iterative Learning Control. 2021 abs/2102.13478 CoRR https://arxiv.org/abs/2102.13478 db/journals/corr/corr2102.html#abs-2102-13478

Alec Farid Sushant Veer Anirudha Majumdar Task-Driven Out-of-Distribution Detection with Statistical Guarantees for Robot Learning. 2021 abs/2106.13703 CoRR https://arxiv.org/abs/2106.13703 db/journals/corr/corr2106.html#abs-2106-13703

Allen Z. Ren Anirudha Majumdar Distributionally Robust Policy Learning via Adversarial Environment Generation. 2021 abs/2107.06353 CoRR https://arxiv.org/abs/2107.06353 db/journals/corr/corr2107.html#abs-2107-06353

Vincent Pacelli Anirudha Majumdar Robust Control Under Uncertainty via Bounded Rationality and Differential Privacy. 2021 abs/2109.08262 CoRR https://arxiv.org/abs/2109.08262 db/journals/corr/corr2109.html#abs-2109-08262

Ali Ekin Gurgen Anirudha Majumdar Sushant Veer Learning Provably Robust Motion Planners Using Funnel Libraries. 2021 abs/2111.08733 CoRR https://arxiv.org/abs/2111.08733 db/journals/corr/corr2111.html#abs-2111-08733

Abhinav Agarwal Sushant Veer Allen Z. Ren Anirudha Majumdar Stronger Generalization Guarantees for Robot Learning by Combining Generative Models and Real-World Data. 2021 abs/2111.08761 CoRR https://arxiv.org/abs/2111.08761 db/journals/corr/corr2111.html#abs-2111-08761

Anirudha Majumdar Georgina Hall Amir Ali Ahmadi Recent Scalability Improvements for Semidefinite Programming with Applications in Machine Learning, Control, and Robotics. 331-360 2020 3 Annu. Rev. Control. Robotics Auton. Syst. https://doi.org/10.1146/annurev-control-091819-074326 db/journals/arcras/arcras3.html#MajumdarHA20

Sushant Veer Anirudha Majumdar Probably Approximately Correct Vision-Based Planning using Motion Primitives. 1001-1014 2020 CoRL https://proceedings.mlr.press/v155/veer21a.html conf/corl/2020 db/conf/corl/corl2020.html#VeerM20 Allen Z. Ren Sushant Veer Anirudha Majumdar Generalization Guarantees for Imitation Learning. 1426-1442 2020 CoRL https://proceedings.mlr.press/v155/ren21a.html conf/corl/2020 db/conf/corl/corl2020.html#RenVM20 Vincent Pacelli Anirudha Majumdar Learning Task-Driven Control Policies via Information Bottlenecks. 2020 Robotics: Science and Systems https://doi.org/10.15607/RSS.2020.XVI.101 conf/rss/2020 db/conf/rss/rss2020.html#PacelliM20

Vincent Pacelli Anirudha Majumdar Learning Task-Driven Control Policies via Information Bottlenecks. 2020 abs/2002.01428 CoRR https://arxiv.org/abs/2002.01428 db/journals/corr/corr2002.html#abs-2002-01428

Sushant Veer Anirudha Majumdar Probably Approximately Correct Vision-Based Planning using Motion Primitives. 2020 abs/2002.12852 CoRR https://arxiv.org/abs/2002.12852 db/journals/corr/corr2002.html#abs-2002-12852

Anoopkumar Sonar Vincent Pacelli Anirudha Majumdar Invariant Policy Optimization: Towards Stronger Generalization in Reinforcement Learning. 2020 abs/2006.01096 CoRR https://arxiv.org/abs/2006.01096 db/journals/corr/corr2006.html#abs-2006-01096

Sushant Veer Anirudha Majumdar CoNES: Convex Natural Evolutionary Strategies. 2020 abs/2007.08601 CoRR https://arxiv.org/abs/2007.08601 db/journals/corr/corr2007.html#abs-2007-08601

Allen Z. Ren Sushant Veer Anirudha Majumdar Generalization Guarantees for Multi-Modal Imitation Learning. 2020 abs/2008.01913 CoRR https://arxiv.org/abs/2008.01913 db/journals/corr/corr2008.html#abs-2008-01913

Meghan Booker Anirudha Majumdar Learning to Actively Reduce Memory Requirements for Robot Control Tasks. 2020 abs/2008.07451 CoRR https://arxiv.org/abs/2008.07451 db/journals/corr/corr2008.html#abs-2008-07451

Christine Allen-Blanchette Sushant Veer Anirudha Majumdar Naomi Ehrich Leonard LagNetViP: A Lagrangian Neural Network for Video Prediction. 2020 abs/2010.12932 CoRR https://arxiv.org/abs/2010.12932 db/journals/corr/corr2010.html#abs-2010-12932

Udaya Ghai David Snyder Anirudha Majumdar Elad Hazan Generating Adversarial Disturbances for Controller Verification. 2020 abs/2012.06695 CoRR https://arxiv.org/abs/2012.06695 db/journals/corr/corr2012.html#abs-2012-06695

Amir Ali Ahmadi Anirudha Majumdar DSOS and SDSOS Optimization: More Tractable Alternatives to Sum of Squares and Semidefinite Optimization. 193-230 2019 3 SIAM J. Appl. Algebra Geom. 2 https://doi.org/10.1137/18M118935X https://www.wikidata.org/entity/Q90328049 db/journals/siaga/siaga3.html#AhmadiM19

Sumeet Singh Yinlam Chow Anirudha Majumdar Marco Pavone 0001 A Framework for Time-Consistent, Risk-Sensitive Model Predictive Control: Theory and Algorithms. 2905-2912 2019 64 IEEE Trans. Autom. Control. 7 https://doi.org/10.1109/TAC.2018.2874704 https://www.wikidata.org/entity/Q129160324 db/journals/tac/tac64.html#SinghCMP19

Vincent Pacelli Anirudha Majumdar Task-Driven Estimation and Control via Information Bottlenecks. 2061-2067 2019 ICRA https://doi.org/10.1109/ICRA.2019.8794213 conf/icra/2019 db/conf/icra/icra2019.html#PacelliM19

Anirudha Majumdar Georgina Hall Amir Ali Ahmadi A Survey of Recent Scalability Improvements for Semidefinite Programming with Applications in Machine Learning, Control, and Robotics. 2019 abs/1908.05209 CoRR http://arxiv.org/abs/1908.05209 db/journals/corr/corr1908.html#abs-1908-05209

Sumeet Singh Jonathan Lacotte Anirudha Majumdar Marco Pavone 0001 Risk-sensitive inverse reinforcement learning via semi- and non-parametric methods. 2018 37 Int. J. Robotics Res. 13-14 https://doi.org/10.1177/0278364918772017 https://www.wikidata.org/entity/Q129803994 db/journals/ijrr/ijrr37.html#SinghLMP18

Anirudha Majumdar Maxwell Goldstein PAC-Bayes Control: Synthesizing Controllers that Provably Generalize to Novel Environments. 293-305 2018 CoRL http://proceedings.mlr.press/v87/majumdar18a.html conf/corl/2018 db/conf/corl/corl2018.html#MajumdarG18

Anirudha Majumdar Maxwell Goldstein PAC-Bayes Control: Synthesizing Controllers that Provably Generalize to Novel Environments. 2018 abs/1806.04225 CoRR http://arxiv.org/abs/1806.04225 db/journals/corr/corr1806.html#abs-1806-04225

Vincent Pacelli Anirudha Majumdar Task-Driven Estimation and Control via Information Bottlenecks. 2018 abs/1809.07874 CoRR http://arxiv.org/abs/1809.07874 db/journals/corr/corr1809.html#abs-1809-07874

Anirudha Majumdar Russ Tedrake Funnel libraries for real-time robust feedback motion planning. 947-982 2017 36 Int. J. Robotics Res. 8 https://doi.org/10.1177/0278364917712421 db/journals/ijrr/ijrr36.html#MajumdarT17

Sumeet Singh Anirudha Majumdar Jean-Jacques E. Slotine Marco Pavone 0001 Robust online motion planning via contraction theory and convex optimization. 5883-5890 2017 ICRA https://doi.org/10.1109/ICRA.2017.7989693 conf/icra/2017 db/conf/icra/icra2017.html#SinghMSP17 Anirudha Majumdar Marco Pavone 0001 How Should a Robot Assess Risk? Towards an Axiomatic Theory of Risk in Robotics. 75-84 2017 ISRR https://doi.org/10.1007/978-3-030-28619-4_10 conf/isrr/2017 db/conf/isrr/isrr2017.html#MajumdarP17 Anirudha Majumdar Sumeet Singh Ajay Mandlekar Marco Pavone 0001 Risk-sensitive Inverse Reinforcement Learning via Coherent Risk Models. 2017 Robotics: Science and Systems http://www.roboticsproceedings.org/rss13/p69.html https://doi.org/10.15607/RSS.2017.XIII.069 conf/rss/2017 db/conf/rss/rss2017.html#MajumdarSMP17

Yin-Lam Chow Sumeet Singh Anirudha Majumdar Marco Pavone 0001 A Framework for Time-Consistent, Risk-Averse Model Predictive Control: Theory and Algorithms. 2017 abs/1703.01029 CoRR http://arxiv.org/abs/1703.01029 db/journals/corr/corr1703.html#ChowSMP17

Amir Ali Ahmadi Anirudha Majumdar DSOS and SDSOS Optimization: More Tractable Alternatives to Sum of Squares and Semidefinite Optimization. 2017 abs/1706.02586 CoRR http://arxiv.org/abs/1706.02586 db/journals/corr/corr1706.html#AhmadiM17

Amir Ali Ahmadi Anirudha Majumdar Response to "Counterexample to global convergence of DSOS and SDSOS hierarchies". 2017 abs/1710.02901 CoRR http://arxiv.org/abs/1710.02901 db/journals/corr/corr1710.html#abs-1710-02901

Anirudha Majumdar Marco Pavone 0001 How Should a Robot Assess Risk? Towards an Axiomatic Theory of Risk in Robotics. 2017 abs/1710.11040 CoRR http://arxiv.org/abs/1710.11040 db/journals/corr/corr1710.html#abs-1710-11040

Sumeet Singh Jonathan Lacotte Anirudha Majumdar Marco Pavone 0001 Risk-sensitive Inverse Reinforcement Learning via Semi- and Non-Parametric Methods. 2017 abs/1711.10055 CoRR http://arxiv.org/abs/1711.10055 db/journals/corr/corr1711.html#abs-1711-10055

Anirudha Majumdar Funnel libraries for real-time robust feedback motion planning. 2016 Massachusetts Institute of Technology, Cambridge, USA https://hdl.handle.net/1721.1/106033 ndltd.org (oai:dspace.mit.edu:1721.1/106033)

Amir Ali Ahmadi Anirudha Majumdar Some applications of polynomial optimization in operations research and real-time decision making. 709-729 2016 10 Optim. Lett. 4 https://doi.org/10.1007/s11590-015-0894-3 db/journals/ol/ol10.html#AhmadiM16

Anirudha Majumdar Russ Tedrake Funnel Libraries for Real-Time Robust Feedback Motion Planning. 2016 abs/1601.04037 CoRR http://arxiv.org/abs/1601.04037 db/journals/corr/corr1601.html#MajumdarT16

Hongkai Dai Anirudha Majumdar Russ Tedrake Synthesis and Optimization of Force Closure Grasps via Sequential Semidefinite Programming. 285-305 2015 ISRR (1) https://doi.org/10.1007/978-3-319-51532-8_18 conf/isrr/2015-1 db/conf/isrr/isrr2015-1.html#DaiMT15

Amir Ali Ahmadi Anirudha Majumdar Some Applications of Polynomial Optimization in Operations Research and Real-Time Decision Making. 2015 abs/1504.06002 CoRR http://arxiv.org/abs/1504.06002 db/journals/corr/corr1504.html#AhmadiM15

Anirudha Majumdar Ram Vasudevan Mark M. Tobenkin Russ Tedrake Convex optimization of nonlinear feedback controllers via occupation measures. 1209-1230 2014 33 Int. J. Robotics Res. 9 https://doi.org/10.1177/0278364914528059 db/journals/ijrr/ijrr33.html#MajumdarVTT14

Anirudha Majumdar Amir Ali Ahmadi Russ Tedrake Control and verification of high-dimensional systems with DSOS and SDSOS programming. 394-401 2014 CDC https://doi.org/10.1109/CDC.2014.7039413 conf/cdc/2014 db/conf/cdc/cdc2014.html#MajumdarAT14 Amir Ali Ahmadi Anirudha Majumdar DSOS and SDSOS optimization: LP and SOCP-based alternatives to sum of squares optimization. 1-5 2014 CISS https://doi.org/10.1109/CISS.2014.6814141 conf/ciss/2014 db/conf/ciss/ciss2014.html#AhmadiM14 Andrew J. Barry Tim Jenks Anirudha Majumdar Huai-Ti Lin Ivo G. Ros Andrew A. Biewener Russ Tedrake Flying between obstacles with an autonomous knife-edge maneuver. 2559 2014 ICRA https://doi.org/10.1109/ICRA.2014.6907217 conf/icra/2014 db/conf/icra/icra2014.html#BarryJMLRBT14 Amir Ali Ahmadi Anirudha Majumdar Russ Tedrake Complexity of ten decision problems in continuous time dynamical systems. 6376-6381 2013 ACC https://doi.org/10.1109/ACC.2013.6580838 conf/amcc/2013 db/conf/amcc/acc2013.html#AhmadiMT13 Anirudha Majumdar Amir Ali Ahmadi Russ Tedrake Control design along trajectories with sums of squares programming. 4054-4061 2013 ICRA https://doi.org/10.1109/ICRA.2013.6631149 conf/icra/2013 db/conf/icra/icra2013.html#MajumdarAT13 Anirudha Majumdar Ram Vasudevan Mark M. Tobenkin Russ Tedrake Convex Optimization of Nonlinear Feedback Controllers via Occupation Measures. 2013 Robotics: Science and Systems http://www.roboticsproceedings.org/rss09/p43.html https://doi.org/10.15607/RSS.2013.IX.043 conf/rss/2013 db/conf/rss/rss2013.html#MajumdarVTT13

Anirudha Majumdar Ram Vasudevan Mark M. Tobenkin Russ Tedrake Technical Report: Convex Optimization of Nonlinear Feedback Controllers via Occupation Measures. 2013 abs/1305.7484 CoRR http://arxiv.org/abs/1305.7484 db/journals/corr/corr1305.html#MajumdarVTT13

Anirudha Majumdar Mark M. Tobenkin Russ Tedrake Algebraic verification for parameterized motion planning libraries. 250-257 2012 ACC https://doi.org/10.1109/ACC.2012.6315544 conf/amcc/2012 db/conf/amcc/acc2012.html#MajumdarTT12 Andrew J. Barry Anirudha Majumdar Russ Tedrake Safety verification of reactive controllers for UAV flight in cluttered environments using barrier certificates. 484-490 2012 ICRA https://doi.org/10.1109/ICRA.2012.6225351 conf/icra/2012 db/conf/icra/icra2012.html#BarryMT12 Anirudha Majumdar Russ Tedrake Robust Online Motion Planning with Regions of Finite Time Invariance. 543-558 2012 WAFR https://doi.org/10.1007/978-3-642-36279-8_33 conf/wafr/2012 db/conf/wafr/wafr2012.html#MajumdarT12

Anirudha Majumdar Amir Ali Ahmadi Russ Tedrake Control Design along Trajectories with Sums of Squares Programming http://arxiv.org/abs/1210.0888 2012 CoRR abs/1210.0888 db/journals/corr/corr1210.html#abs-1210-0888

Amir Ali Ahmadi Anirudha Majumdar Russ Tedrake Complexity of Ten Decision Problems in Continuous Time Dynamical Systems http://arxiv.org/abs/1210.7420 2012 CoRR abs/1210.7420 db/journals/corr/corr1210.html#abs-1210-7420

Haldun Komsuoglu Anirudha Majumdar Yasemin Ozkan Aydin Daniel E. Koditschek Characterization of Dynamic Behaviors in a Hexapod Robot. 667-684 2010 ISER https://doi.org/10.1007/978-3-642-28572-1_46 https://www.wikidata.org/entity/Q120722310 conf/iser/2010 db/conf/iser/iser2010.html#KomsuogluMAK10 Abhinav Agarwal Naman Agarwal Pulkit Agrawal 0001 Amir Ali Ahmadi Christine Allen-Blanchette Rares AmbrusRares Andrei Ambrus Lars Lien AnkileLars Ankile Yasemin Ozkan Aydin Ariel Bachman Apurva Badithela Micah Baker Jeremy Bao Daphne Barretto Andrew J. Barry Samuel M. Bateman Landry BenoitBenoit Landry Andrew A. Biewener Madison Bland Bryan Boateng Alexandra Bodrova Meghan Booker Noah Brown Joseph Bruno Benjamin Burchfiel Oscar Chang Yinlam ChowYin-Lam Chow Jaden Clark Hongkai Dai Philip M. Dames Yagiz Devre Anushri Dixit Emma Dixon Evan Dogariu Danny DrießDanny Driess Alec Farid Bowen Feng Roya Firoozi Jaime Fernández FisacJaime F. Fisac Jensen Gao Divya Garikapati Udaya Ghai Roger Girgis Alexander Glaser Maxwell Goldstein Bharat Govil Paula Gradu Ali Ekin Gurgen Georgina Hall John Hallman Asher J. Hancock Karol Hausman Elad Hazan Felix Heide Michelle Ho Kai-Chieh Hsu Yixuan Huang Marcus Hultmark Brian Ichter Alex Irpan Masha Itkina Tim Jenks Abhishek Jindal Dmitry Kalashnikov Ashish Kapoor Daniel E. Koditschek Haldun Komsuoglu Jonathan Lacotte Naomi Ehrich Leonard Eric Lepowsky Baiang Li Justin Lidard Huai-Ti Lin Weiyu Liu Y. Isabel Liu Cewu Lu Ajay Mandlekar Nikolai Matni Zhiting Mei Joseph Mikhail Patrick Tree Miller Karthik NarasimhanKarthik R. Narasimhan Duy Phuong Nguyen Windsor Nguyen Haruki Nishimura Matthew O'Kelly Julian Ost Vincent Pacelli Divyanshu Pachisia George J. Pappas Marco Pavone 0001 Hang Pham Alexander Piqué Allen Z. Ren Ivo G. Ros Olga Russakovsky Dorsa Sadigh Bidipta Sarkar Jade Sceats Mac Schwager Pierre Sermanet Dhruv Shah Apoorva Sharma Mohit Sharma 0001 Olaoluwa ShorinwaOla Shorinwa Max Simchowitz Anthony Simeonov Nathaniel Simon Vikas Sindhwani Karan Singh Sumeet Singh Jean-Jacques E. Slotine David Snyder Anoopkumar Sonar Shuran Song Mariko Storey-Matsutani Jiankai Sun Tao Sun Daniel Suo Leila Takayama Russ Tedrake Stephen Tian Mark M. Tobenkin Stephen Tu John Tucker 0001Johnathan Tucker 0001 Jake Varley Ramanarayan VasudevanRam Vasudevan Sushant Veer David Wang Jiajun Wu 0001 Xindi Wu Fei Xia 0002 Wenhan Xia Ted Xiao Peng Xu 0010 Zhenjia Xu Miyu Yamane Heng Yang Tsung-Yen Yang Tenny Yin Alex Yu Andy Zeng 0001 Lihan Zha Christina Zhang Cyril Zhang Michael Zhang Mingtong Zhang Zhonghe Zheng Emily Zhou Yuke Zhu