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Dive into the research topics where Anirudha Majumdar is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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MEMS Airflow Sensors for Model-Based UAV Control in Extreme Wind Conditions
Air Force Office of Scientific Research
10/15/21 → 10/14/24
Project: Research project
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Learning Control Policies for Robots with Guaranteed Out-of-Distribution Generalization
9/1/21 → 8/31/24
Project: Research project
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NSF CAREER: Generalization and Safety Guarantees for Learning-Based Control of Robots
NSF - National Science Foundation
8/1/21 → 7/31/26
Project: Research project
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Structured Deep Learning for Modeling and Controlling High-Dimensional Dynamical Systems
9/24/18 → 9/23/22
Project: Research project
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CRII: RI: Memory-efficient Representations for Robot Tasks: Lower Bounds and Scalable Algorithms
NSF - National Science Foundation
9/1/18 → 8/31/20
Project: Research project
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Distributionally Robust Policy Learning via Adversarial Environment Generation
Ren, A. Z. & Majumdar, A., Apr 1 2022, In: IEEE Robotics and Automation Letters. 7, 2, p. 1379-1386 8 p.Research output: Contribution to journal › Article › peer-review
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How Should a Robot Assess Risk? Towards an Axiomatic Theory of Risk in Robotics
Majumdar, A. & Pavone, M., 2020, Springer Proceedings in Advanced Robotics. Springer Science and Business Media B.V., p. 75-84 10 p. (Springer Proceedings in Advanced Robotics; vol. 10).Research output: Chapter in Book/Report/Conference proceeding › Chapter
35 Scopus citations -
PAC-Bayes control: learning policies that provably generalize to novel environments
Majumdar, A., Farid, A. & Sonar, A., 2020, (Accepted/In press) In: International Journal of Robotics Research.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Recent Scalability Improvements for Semidefinite Programming with Applications in Machine Learning, Control, and Robotics
Majumdar, A., Hall, G. & Ahmadi, A. A., May 3 2020, In: Annual Review of Control, Robotics, and Autonomous Systems. 3, p. 331-360 30 p.Research output: Contribution to journal › Review article › peer-review
18 Scopus citations -
A Framework for Time-Consistent, Risk-Sensitive Model Predictive Control: Theory and Algorithms
Singh, S., Chow, Y., Majumdar, A. & Pavone, M., Jul 2019, In: IEEE Transactions on Automatic Control. 64, 7, p. 2905-2912 8 p., 8485726.Research output: Contribution to journal › Article › peer-review
15 Scopus citations