Anirudha Majumdar

138 papers A* 17A 1C 5Misc 10Journal 88Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions. ACM Comput. Surv. Ola Shorinwa, Zhiting Mei, Justin Lidard, Allen Z. Ren, Anirudha Majumdar
2026	J	`jnl`	Beyond Binary Success: Sample-Efficient and Statistically Rigorous Robot Policy Comparison. CoRR David Snyder, Apurva Badithela, Nikolai Matni, George J. Pappas, Anirudha Majumdar, Masha Itkina, Haruki Nishimura
2026	J	`jnl`	LAP: Language-Action Pre-Training Enables Zero-shot Cross-Embodiment Transfer. CoRR Lihan Zha, Asher J. Hancock, Mingtong Zhang, Tenny Yin, Yixuan Huang, Dhruv Shah, Allen Z. Ren, Anirudha Majumdar
2026	J	`jnl`	PlayWorld: Learning Robot World Models from Autonomous Play. CoRR Tenny Yin, Zhiting Mei, Zhonghe Zheng, Miyu Yamane, David Wang, Jade Sceats, Samuel M. Bateman, Lihan Zha, Apurva Badithela, Ola Shorinwa, Anirudha Majumdar
2026	—	`conf`	Reasoning about Uncertainty: Do Reasoning Models Know When They Don't Know? EACL (Findings) Zhiting Mei, Christina Zhang, Tenny Yin, Justin Lidard, Ola Shorinwa, Anirudha Majumdar
2026	J	`jnl`	Video Generation Models in Robotics - Applications, Research Challenges, Future Directions. CoRR 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
2025	J	`jnl`	Actions as Language: Fine-Tuning VLMs into VLAs Without Catastrophic Forgetting. CoRR Asher J. Hancock, Xindi Wu, Lihan Zha, Olga Russakovsky, Anirudha Majumdar
2025	J	`jnl`	Can AI Perceive Physical Danger and Intervene? CoRR Abhishek Jindal, Dmitry Kalashnikov, Oscar Chang, Divya Garikapati, Anirudha Majumdar, Pierre Sermanet, Vikas Sindhwani
2025	J	`jnl`	Deceptive Risk Minimization: Out-of-Distribution Generalization by Deceiving Distribution Shift Detectors. CoRR Anirudha Majumdar
2025	A*	`conf`	Diffusion Policy Policy Optimization. ICLR Allen Z. Ren, Justin Lidard, Lars Lien Ankile, Anthony Simeonov, Pulkit Agrawal, Anirudha Majumdar, Benjamin Burchfiel, Hongkai Dai, Max Simchowitz
2025	—	`conf`	Flash STU: Fast Spectral Transform Units. CDC Y. Isabel Liu, Windsor Nguyen, Yagiz Devre, Evan Dogariu, Anirudha Majumdar, Elad Hazan
2025	J	`jnl`	Foundation models in robotics: Applications, challenges, and the future. Int. J. Robotics Res. Roya Firoozi, John Tucker, Stephen Tian, Anirudha Majumdar, Jiankai Sun, Weiyu Liu, Yuke Zhu, Shuran Song, Ashish Kapoor, Karol Hausman, Brian Ichter, Danny Driess, Jiajun Wu, Cewu Lu, Mac Schwager
2025	J	`jnl`	Generating Robot Constitutions & Benchmarks for Semantic Safety. CoRR Pierre Sermanet, Anirudha Majumdar, Alex Irpan, Dmitry Kalashnikov, Vikas Sindhwani
2025	J	`jnl`	Geometry Meets Vision: Revisiting Pretrained Semantics in Distilled Fields. CoRR Zhiting Mei, Ola Shorinwa, Anirudha Majumdar
2025	J	`jnl`	Guiding Data Collection via Factored Scaling Curves. CoRR Lihan Zha, Apurva Badithela, Michael Zhang, Justin Lidard, Jeremy Bao, Emily Zhou, David Snyder, Allen Z. Ren, Dhruv Shah, Anirudha Majumdar
2025	J	`jnl`	How Confident are Video Models? Empowering Video Models to Express their Uncertainty. CoRR Zhiting Mei, Ola Shorinwa, Anirudha Majumdar
2025	J	`jnl`	Is Your Imitation Learning Policy Better than Mine? Policy Comparison with Near-Optimal Stopping. CoRR David Snyder, Asher J. Hancock, Apurva Badithela, Emma Dixon, Patrick Tree Miller, Rares Andrei Ambrus, Anirudha Majumdar, Masha Itkina, Haruki Nishimura
2025	J	`jnl`	Predictive Red Teaming: Breaking Policies Without Breaking Robots. CoRR Anirudha Majumdar, Mohit Sharma, Dmitry Kalashnikov, Sumeet Singh, Pierre Sermanet, Vikas Sindhwani
2025	J	`jnl`	Reasoning about Uncertainty: Do Reasoning Models Know When They Don't Know? CoRR Zhiting Mei, Christina Zhang, Tenny Yin, Justin Lidard, Ola Shorinwa, Anirudha Majumdar
2025	J	`jnl`	Reliable and Scalable Robot Policy Evaluation with Imperfect Simulators. CoRR Apurva Badithela, David Snyder, Lihan Zha, Joseph Mikhail, Matthew O'Kelly, Anushri Dixit, Anirudha Majumdar
2025	A*	`conf`	Run-time Observation Interventions Make Vision-Language-Action Models More Visually Robust. ICRA Asher J. Hancock, Allen Z. Ren, Anirudha Majumdar
2025	J	`jnl`	SIREN: Semantic, Initialization-Free Registration of Multi-Robot Gaussian Splatting Maps. CoRR Ola Shorinwa, Jiankai Sun, Mac Schwager, Anirudha Majumdar
2025	J	`jnl`	SciFi-Benchmark: How Would AI-Powered Robots Behave in Science Fiction Literature? CoRR Pierre Sermanet, Anirudha Majumdar, Vikas Sindhwani
2025	J	`jnl`	Task-Driven Detection of Distribution Shifts With Statistical Guarantees for Robot Learning. IEEE Trans. Robotics Alec Farid, Sushant Veer, Divyanshu Pachisia, Anirudha Majumdar
2025	J	`jnl`	VERDI: VLM-Embedded Reasoning for Autonomous Driving. CoRR Bowen Feng, Zhiting Mei, Baiang Li, Julian Ost, Roger Girgis, Anirudha Majumdar, Felix Heide
2025	J	`jnl`	WoMAP: World Models For Embodied Open-Vocabulary Object Localization. CoRR Tenny Yin, Zhiting Mei, Tao Sun, Lihan Zha, Emily Zhou, Jeremy Bao, Miyu Yamane, Ola Shorinwa, Anirudha Majumdar
2025	J	`jnl`	World Models That Know When They Don't Know: Controllable Video Generation with Calibrated Uncertainty. CoRR Zhiting Mei, Tenny Yin, Micah Baker, Ola Shorinwa, Anirudha Majumdar
2024	J	`jnl`	A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions. CoRR Ola Shorinwa, Zhiting Mei, Justin Lidard, Allen Z. Ren, Anirudha Majumdar
2024	J	`jnl`	Diffusion Policy Policy Optimization. CoRR Allen Z. Ren, Justin Lidard, Lars Ankile, Anthony Simeonov, Pulkit Agrawal, Anirudha Majumdar, Benjamin Burchfiel, Hongkai Dai, Max Simchowitz
2024	—	`conf`	Explore until Confident: Efficient Exploration for Embodied Question Answering. Robotics: Science and Systems Allen Z. Ren, Jaden Clark, Anushri Dixit, Masha Itkina, Anirudha Majumdar, Dorsa Sadigh
2024	J	`jnl`	Explore until Confident: Efficient Exploration for Embodied Question Answering. CoRR Allen Z. Ren, Jaden Clark, Anushri Dixit, Masha Itkina, Anirudha Majumdar, Dorsa Sadigh
2024	J	`jnl`	Flash STU: Fast Spectral Transform Units. CoRR Y. Isabel Liu, Windsor Nguyen, Yagiz Devre, Evan Dogariu, Anirudha Majumdar, Elad Hazan
2024	Misc	`conf`	Perceive With Confidence: Statistical Safety Assurances for Navigation with Learning-Based Perception. CoRL Anushri Dixit, Zhiting Mei, Meghan Booker, Mariko Storey-Matsutani, Allen Z. Ren, Anirudha Majumdar
2024	J	`jnl`	Perceive With Confidence: Statistical Safety Assurances for Navigation with Learning-Based Perception. CoRR Anushri Dixit, Zhiting Mei, Meghan Booker, Mariko Storey-Matsutani, Allen Z. Ren, Anirudha Majumdar
2024	A*	`conf`	Physically Grounded Vision-Language Models for Robotic Manipulation. ICRA Jensen Gao, Bidipta Sarkar, Fei Xia, Ted Xiao, Jiajun Wu, Brian Ichter, Anirudha Majumdar, Dorsa Sadigh
2024	A	`conf`	Privacy-Preserving Map-Free Exploration for Confirming the Absence of a Radioactive Source. IROS Eric Lepowsky, David Snyder, Alexander Glaser, Anirudha Majumdar
2024	J	`jnl`	Privacy-Preserving Map-Free Exploration for Confirming the Absence of a Radioactive Source. CoRR Eric Lepowsky, David Snyder, Alexander Glaser, Anirudha Majumdar
2024	—	`conf`	Risk-Calibrated Human-Robot Interaction via Set-Valued Intent Prediction. Robotics: Science and Systems Justin Lidard, Hang Pham, Ariel Bachman, Bryan Boateng, Anirudha Majumdar
2024	J	`jnl`	Risk-Calibrated Human-Robot Interaction via Set-Valued Intent Prediction. CoRR Justin Lidard, Hang Pham, Ariel Bachman, Bryan Boateng, Anirudha Majumdar
2024	J	`jnl`	Run-time Observation Interventions Make Vision-Language-Action Models More Visually Robust. CoRR Asher J. Hancock, Allen Z. Ren, Anirudha Majumdar
2024	A*	`conf`	Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees (Abstract Reprint). AAAI Kai-Chieh Hsu, Allen Z. Ren, Duy Phuong Nguyen, Anirudha Majumdar, Jaime F. Fisac
2024	J	`jnl`	Thinking Forward and Backward: Effective Backward Planning with Large Language Models. CoRR Allen Z. Ren, Brian Ichter, Anirudha Majumdar
2023	Misc	`conf`	AdaptSim: Task-Driven Simulation Adaptation for Sim-to-Real Transfer. CoRL Allen Z. Ren, Hongkai Dai, Benjamin Burchfiel, Anirudha Majumdar
2023	J	`jnl`	AdaptSim: Task-Driven Simulation Adaptation for Sim-to-Real Transfer. CoRR Allen Z. Ren, Hongkai Dai, Benjamin Burchfiel, Anirudha Majumdar
2023	A*	`conf`	FlowDrone: Wind Estimation and Gust Rejection on UAVs Using Fast-Response Hot-Wire Flow Sensors. ICRA Nathaniel Simon, Allen Z. Ren, Alexander Piqué, David Snyder, Daphne Barretto, Marcus Hultmark, Anirudha Majumdar
2023	J	`jnl`	Foundation Models in Robotics: Applications, Challenges, and the Future. CoRR Roya Firoozi, Johnathan Tucker, Stephen Tian, Anirudha Majumdar, Jiankai Sun, Weiyu Liu, Yuke Zhu, Shuran Song, Ashish Kapoor, Karol Hausman, Brian Ichter, Danny Driess, Jiajun Wu, Cewu Lu, Mac Schwager
2023	A*	`conf`	Fundamental Tradeoffs in Learning with Prior Information. ICML Anirudha Majumdar
2023	J	`jnl`	Fundamental Tradeoffs in Learning with Prior Information. CoRR Anirudha Majumdar
2023	J	`jnl`	Fundamental limits for sensor-based robot control. Int. J. Robotics Res. Anirudha Majumdar, Zhiting Mei, Vincent Pacelli
2023	—	`conf`	MonoNav: MAV Navigation via Monocular Depth Estimation and Reconstruction. ISER Nathaniel Simon, Anirudha Majumdar
2023	J	`jnl`	MonoNav: MAV Navigation via Monocular Depth Estimation and Reconstruction. CoRR Nathaniel Simon, Anirudha Majumdar
2023	Misc	`conf`	Online Learning for Obstacle Avoidance. CoRL David Snyder, Meghan Booker, Nathaniel Simon, Wenhan Xia, Daniel Suo, Elad Hazan, Anirudha Majumdar
2023	J	`jnl`	Online Learning for Obstacle Avoidance. CoRR David Snyder, Meghan Booker, Nathaniel Simon, Wenhan Xia, Daniel Suo, Elad Hazan, Anirudha Majumdar
2023	A*	`conf`	PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction. NeurIPS Apoorva Sharma, Sushant Veer, Asher J. Hancock, Heng Yang, Marco Pavone, Anirudha Majumdar
2023	J	`jnl`	PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction. CoRR Apoorva Sharma, Sushant Veer, Asher J. Hancock, Heng Yang, Marco Pavone, Anirudha Majumdar
2023	J	`jnl`	Physically Grounded Vision-Language Models for Robotic Manipulation. CoRR Jensen Gao, Bidipta Sarkar, Fei Xia, Ted Xiao, Jiajun Wu, Brian Ichter, Anirudha Majumdar, Dorsa Sadigh
2023	Misc	`conf`	Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners. CoRL Allen Z. Ren, Anushri Dixit, Alexandra Bodrova, Sumeet Singh, Stephen Tu, Noah Brown, Peng Xu, Leila Takayama, Fei Xia, Jake Varley, Zhenjia Xu, Dorsa Sadigh, Andy Zeng, Anirudha Majumdar
2023	J	`jnl`	Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners. CoRR Allen Z. Ren, Anushri Dixit, Alexandra Bodrova, Sumeet Singh, Stephen Tu, Noah Brown, Peng Xu, Leila Takayama, Fei Xia, Jake Varley, Zhenjia Xu, Dorsa Sadigh, Andy Zeng, Anirudha Majumdar
2023	J	`jnl`	Robust feedback motion planning via contraction theory. Int. J. Robotics Res. Sumeet Singh, Benoit Landry, Anirudha Majumdar, Jean-Jacques E. Slotine, Marco Pavone
2023	J	`jnl`	Sim-to-Lab-to-Real: Safe reinforcement learning with shielding and generalization guarantees. Artif. Intell. Kai-Chieh Hsu, Allen Z. Ren, Duy Phuong Nguyen, Anirudha Majumdar, Jaime F. Fisac
2023	A*	`conf`	Switching Attention in Time-Varying Environments via Bayesian Inference of Abstractions. ICRA Meghan Booker, Anirudha Majumdar
2022	J	`jnl`	Comparing the Complexity of Robotic Tasks. CoRR Michelle Ho, Alec Farid, Anirudha Majumdar
2022	J	`jnl`	Distributionally Robust Policy Learning via Adversarial Environment Generation. IEEE Robotics Autom. Lett. Allen Z. Ren, Anirudha Majumdar
2022	—	`conf`	Failure Prediction with Statistical Guarantees for Vision-Based Robot Control. Robotics: Science and Systems Alec Farid, David Snyder, Allen Z. Ren, Anirudha Majumdar
2022	J	`jnl`	Failure Prediction with Statistical Guarantees for Vision-Based Robot Control. CoRR Alec Farid, David Snyder, Allen Z. Ren, Anirudha Majumdar
2022	J	`jnl`	FlowDrone: Wind Estimation and Gust Rejection on UAVs Using Fast-Response Hot-Wire Flow Sensors. CoRR Nathaniel Simon, Allen Z. Ren, Alexander Piqué, David Snyder, Daphne Barretto, Marcus Hultmark, Anirudha Majumdar
2022	—	`conf`	Fundamental Performance Limits for Sensor-Based Robot Control and Policy Learning. Robotics: Science and Systems Anirudha Majumdar, Vincent Pacelli
2022	J	`jnl`	Fundamental Performance Limits for Sensor-Based Robot Control and Policy Learning. CoRR Anirudha Majumdar, Vincent Pacelli
2022	Misc	`conf`	Leveraging Language for Accelerated Learning of Tool Manipulation. CoRL Allen Z. Ren, Bharat Govil, Tsung-Yen Yang, Karthik R. Narasimhan, Anirudha Majumdar
2022	J	`jnl`	Leveraging Language for Accelerated Learning of Tool Manipulation. CoRR Allen Z. Ren, Bharat Govil, Tsung-Yen Yang, Karthik Narasimhan, Anirudha Majumdar
2022	A*	`conf`	Robust Control Under Uncertainty via Bounded Rationality and Differential Privacy. ICRA Vincent Pacelli, Anirudha Majumdar
2022	J	`jnl`	Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees. CoRR Kai-Chieh Hsu, Allen Z. Ren, Duy Phuong Nguyen, Anirudha Majumdar, Jaime F. Fisac
2022	A*	`conf`	Stronger Generalization Guarantees for Robot Learning by Combining Generative Models and Real-World Data. ICRA Abhinav Agarwal, Sushant Veer, Allen Z. Ren, Anirudha Majumdar
2022	J	`jnl`	Switching Attention in Time-Varying Environments via Bayesian Inference of Abstractions. CoRR Meghan Booker, Anirudha Majumdar
2022	C	`conf`	Towards a Framework for Comparing the Complexity of Robotic Tasks. WAFR Michelle Ho, Alec Farid, Anirudha Majumdar
2021	A*	`conf`	A Regret Minimization Approach to Iterative Learning Control. ICML Naman Agarwal, Elad Hazan, Anirudha Majumdar, Karan Singh
2021	J	`jnl`	A Regret Minimization Approach to Iterative Learning Control. CoRR Naman Agarwal, Elad Hazan, Anirudha Majumdar, Karan Singh
2021	J	`jnl`	Deluca - A Differentiable Control Library: Environments, Methods, and Benchmarking. CoRR Paula Gradu, John Hallman, Daniel Suo, Alex Yu, Naman Agarwal, Udaya Ghai, Karan Singh, Cyril Zhang, Anirudha Majumdar, Elad Hazan
2021	J	`jnl`	Distributionally Robust Policy Learning via Adversarial Environment Generation. CoRR Allen Z. Ren, Anirudha Majumdar
2021	A*	`conf`	Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability. NeurIPS Alec Farid, Anirudha Majumdar
2021	—	`conf`	Generating Adversarial Disturbances for Controller Verification. L4DC Udaya Ghai, David Snyder, Anirudha Majumdar, Elad Hazan
2021	—	`conf`	Invariant Policy Optimization: Towards Stronger Generalization in Reinforcement Learning. L4DC Anoopkumar Sonar, Vincent Pacelli, Anirudha Majumdar
2021	J	`jnl`	Learning Provably Robust Motion Planners Using Funnel Libraries. CoRR Ali Ekin Gurgen, Anirudha Majumdar, Sushant Veer
2021	—	`conf`	Learning to Actively Reduce Memory Requirements for Robot Control Tasks. L4DC Meghan Booker, Anirudha Majumdar
2021	J	`jnl`	PAC-BUS: Meta-Learning Bounds via PAC-Bayes and Uniform Stability. CoRR Alec Farid, Anirudha Majumdar
2021	J	`jnl`	PAC-Bayes control: learning policies that provably generalize to novel environments. Int. J. Robotics Res. Anirudha Majumdar, Alec Farid, Anoopkumar Sonar
2021	J	`jnl`	Robust Control Under Uncertainty via Bounded Rationality and Differential Privacy. CoRR Vincent Pacelli, Anirudha Majumdar
2021	J	`jnl`	Stronger Generalization Guarantees for Robot Learning by Combining Generative Models and Real-World Data. CoRR Abhinav Agarwal, Sushant Veer, Allen Z. Ren, Anirudha Majumdar
2021	Misc	`conf`	Task-Driven Out-of-Distribution Detection with Statistical Guarantees for Robot Learning. CoRL Alec Farid, Sushant Veer, Anirudha Majumdar
2021	J	`jnl`	Task-Driven Out-of-Distribution Detection with Statistical Guarantees for Robot Learning. CoRR Alec Farid, Sushant Veer, Anirudha Majumdar
2020	J	`jnl`	CoNES: Convex Natural Evolutionary Strategies. CoRR Sushant Veer, Anirudha Majumdar
2020	Misc	`conf`	Generalization Guarantees for Imitation Learning. CoRL Allen Z. Ren, Sushant Veer, Anirudha Majumdar
2020	J	`jnl`	Generalization Guarantees for Multi-Modal Imitation Learning. CoRR Allen Z. Ren, Sushant Veer, Anirudha Majumdar
2020	J	`jnl`	Generating Adversarial Disturbances for Controller Verification. CoRR Udaya Ghai, David Snyder, Anirudha Majumdar, Elad Hazan
2020	J	`jnl`	Invariant Policy Optimization: Towards Stronger Generalization in Reinforcement Learning. CoRR Anoopkumar Sonar, Vincent Pacelli, Anirudha Majumdar
2020	J	`jnl`	LagNetViP: A Lagrangian Neural Network for Video Prediction. CoRR Christine Allen-Blanchette, Sushant Veer, Anirudha Majumdar, Naomi Ehrich Leonard
2020	—	`conf`	Learning Task-Driven Control Policies via Information Bottlenecks. Robotics: Science and Systems Vincent Pacelli, Anirudha Majumdar
2020	J	`jnl`	Learning Task-Driven Control Policies via Information Bottlenecks. CoRR Vincent Pacelli, Anirudha Majumdar
2020	J	`jnl`	Learning to Actively Reduce Memory Requirements for Robot Control Tasks. CoRR Meghan Booker, Anirudha Majumdar
2020	Misc	`conf`	Probably Approximately Correct Vision-Based Planning using Motion Primitives. CoRL Sushant Veer, Anirudha Majumdar
2020	J	`jnl`	Probably Approximately Correct Vision-Based Planning using Motion Primitives. CoRR Sushant Veer, Anirudha Majumdar
2020	J	`jnl`	Recent Scalability Improvements for Semidefinite Programming with Applications in Machine Learning, Control, and Robotics. Annu. Rev. Control. Robotics Auton. Syst. Anirudha Majumdar, Georgina Hall, Amir Ali Ahmadi
2019	J	`jnl`	A Framework for Time-Consistent, Risk-Sensitive Model Predictive Control: Theory and Algorithms. IEEE Trans. Autom. Control. Sumeet Singh, Yinlam Chow, Anirudha Majumdar, Marco Pavone
2019	J	`jnl`	A Survey of Recent Scalability Improvements for Semidefinite Programming with Applications in Machine Learning, Control, and Robotics. CoRR Anirudha Majumdar, Georgina Hall, Amir Ali Ahmadi
2019	J	`jnl`	DSOS and SDSOS Optimization: More Tractable Alternatives to Sum of Squares and Semidefinite Optimization. SIAM J. Appl. Algebra Geom. Amir Ali Ahmadi, Anirudha Majumdar
2019	A*	`conf`	Task-Driven Estimation and Control via Information Bottlenecks. ICRA Vincent Pacelli, Anirudha Majumdar
2018	Misc	`conf`	PAC-Bayes Control: Synthesizing Controllers that Provably Generalize to Novel Environments. CoRL Anirudha Majumdar, Maxwell Goldstein
2018	J	`jnl`	PAC-Bayes Control: Synthesizing Controllers that Provably Generalize to Novel Environments. CoRR Anirudha Majumdar, Maxwell Goldstein
2018	J	`jnl`	Risk-sensitive inverse reinforcement learning via semi- and non-parametric methods. Int. J. Robotics Res. Sumeet Singh, Jonathan Lacotte, Anirudha Majumdar, Marco Pavone
2018	J	`jnl`	Task-Driven Estimation and Control via Information Bottlenecks. CoRR Vincent Pacelli, Anirudha Majumdar
2017	J	`jnl`	A Framework for Time-Consistent, Risk-Averse Model Predictive Control: Theory and Algorithms. CoRR Yin-Lam Chow, Sumeet Singh, Anirudha Majumdar, Marco Pavone
2017	J	`jnl`	DSOS and SDSOS Optimization: More Tractable Alternatives to Sum of Squares and Semidefinite Optimization. CoRR Amir Ali Ahmadi, Anirudha Majumdar
2017	J	`jnl`	Funnel libraries for real-time robust feedback motion planning. Int. J. Robotics Res. Anirudha Majumdar, Russ Tedrake
2017	C	`conf`	How Should a Robot Assess Risk? Towards an Axiomatic Theory of Risk in Robotics. ISRR Anirudha Majumdar, Marco Pavone
2017	J	`jnl`	How Should a Robot Assess Risk? Towards an Axiomatic Theory of Risk in Robotics. CoRR Anirudha Majumdar, Marco Pavone
2017	J	`jnl`	Response to "Counterexample to global convergence of DSOS and SDSOS hierarchies". CoRR Amir Ali Ahmadi, Anirudha Majumdar
2017	—	`conf`	Risk-sensitive Inverse Reinforcement Learning via Coherent Risk Models. Robotics: Science and Systems Anirudha Majumdar, Sumeet Singh, Ajay Mandlekar, Marco Pavone
2017	J	`jnl`	Risk-sensitive Inverse Reinforcement Learning via Semi- and Non-Parametric Methods. CoRR Sumeet Singh, Jonathan Lacotte, Anirudha Majumdar, Marco Pavone
2017	A*	`conf`	Robust online motion planning via contraction theory and convex optimization. ICRA Sumeet Singh, Anirudha Majumdar, Jean-Jacques E. Slotine, Marco Pavone
2016	J	`jnl`	Funnel Libraries for Real-Time Robust Feedback Motion Planning. CoRR Anirudha Majumdar, Russ Tedrake
2016	—	`—`	Funnel libraries for real-time robust feedback motion planning. Anirudha Majumdar
2016	J	`jnl`	Some applications of polynomial optimization in operations research and real-time decision making. Optim. Lett. Amir Ali Ahmadi, Anirudha Majumdar
2015	J	`jnl`	Some Applications of Polynomial Optimization in Operations Research and Real-Time Decision Making. CoRR Amir Ali Ahmadi, Anirudha Majumdar
2015	—	`conf`	Synthesis and Optimization of Force Closure Grasps via Sequential Semidefinite Programming. ISRR (1) Hongkai Dai, Anirudha Majumdar, Russ Tedrake
2014	—	`conf`	Control and verification of high-dimensional systems with DSOS and SDSOS programming. CDC Anirudha Majumdar, Amir Ali Ahmadi, Russ Tedrake
2014	J	`jnl`	Convex optimization of nonlinear feedback controllers via occupation measures. Int. J. Robotics Res. Anirudha Majumdar, Ram Vasudevan, Mark M. Tobenkin, Russ Tedrake
2014	Misc	`conf`	DSOS and SDSOS optimization: LP and SOCP-based alternatives to sum of squares optimization. CISS Amir Ali Ahmadi, Anirudha Majumdar
2014	A*	`conf`	Flying between obstacles with an autonomous knife-edge maneuver. ICRA Andrew J. Barry, Tim Jenks, Anirudha Majumdar, Huai-Ti Lin, Ivo G. Ros, Andrew A. Biewener, Russ Tedrake
2013	C	`conf`	Complexity of ten decision problems in continuous time dynamical systems. ACC Amir Ali Ahmadi, Anirudha Majumdar, Russ Tedrake
2013	A*	`conf`	Control design along trajectories with sums of squares programming. ICRA Anirudha Majumdar, Amir Ali Ahmadi, Russ Tedrake
2013	—	`conf`	Convex Optimization of Nonlinear Feedback Controllers via Occupation Measures. Robotics: Science and Systems Anirudha Majumdar, Ram Vasudevan, Mark M. Tobenkin, Russ Tedrake
2013	J	`jnl`	Technical Report: Convex Optimization of Nonlinear Feedback Controllers via Occupation Measures. CoRR Anirudha Majumdar, Ram Vasudevan, Mark M. Tobenkin, Russ Tedrake
2012	C	`conf`	Algebraic verification for parameterized motion planning libraries. ACC Anirudha Majumdar, Mark M. Tobenkin, Russ Tedrake
2012	J	`jnl`	Complexity of Ten Decision Problems in Continuous Time Dynamical Systems CoRR Amir Ali Ahmadi, Anirudha Majumdar, Russ Tedrake
2012	J	`jnl`	Control Design along Trajectories with Sums of Squares Programming CoRR Anirudha Majumdar, Amir Ali Ahmadi, Russ Tedrake
2012	C	`conf`	Robust Online Motion Planning with Regions of Finite Time Invariance. WAFR Anirudha Majumdar, Russ Tedrake
2012	A*	`conf`	Safety verification of reactive controllers for UAV flight in cluttered environments using barrier certificates. ICRA Andrew J. Barry, Anirudha Majumdar, Russ Tedrake
2010	—	`conf`	Characterization of Dynamic Behaviors in a Hexapod Robot. ISER Haldun Komsuoglu, Anirudha Majumdar, Yasemin Ozkan Aydin, Daniel E. Koditschek