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Anirudha Majumdar

  • 356 Citations
  • 9 h-Index
20122019

Research output per year

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Projects

Structured Deep Learning for Modeling and Controlling High-Dimensional Dynamical Systems

Majumdar, A.

Office of Naval Research - MA

9/24/18 → 9/23/22

Project: Research project

    • CRII: RI: Memory-efficient Representations for Robot Tasks: Lower Bounds and Scalable Algorithms

    Majumdar, A.

    NSF - National Science Foundation

    9/1/18 → 8/31/20

    Project: Research project

    • Research Output

    • 356 Citations
    • 9 h-Index
    • 8 Conference contribution
    • 5 Article
    • 2 Conference article
    • 1 Paper

    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

    • 1 Scopus citations

    Task-Driven Estimation and Control via Information Bottlenecks

    Pacelli, V. & Majumdar, A., May 2019, 2019 International Conference on Robotics and Automation, ICRA 2019. Institute of Electrical and Electronics Engineers Inc., p. 2061-2067 7 p. 8794213. (Proceedings - IEEE International Conference on Robotics and Automation; vol. 2019-May).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    • Risk-sensitive inverse reinforcement learning via semi- and non-parametric methods

    Singh, S., Lacotte, J., Majumdar, A. & Pavone, M., Dec 1 2018, In : International Journal of Robotics Research. 37, 13-14, p. 1713-1740 28 p.

    Research output: Contribution to journal › Article

    • 3 Scopus citations

    Funnel libraries for real-time robust feedback motion planning

    Majumdar, A. & Tedrake, R., Jul 1 2017, In : International Journal of Robotics Research. 36, 8, p. 947-982 36 p.

    Research output: Contribution to journal › Article

    • 56 Scopus citations

    Risk-sensitive inverse reinforcement learning via coherent risk models

    Majumdar, A., Singh, S., Mandlekar, A. & Pavone, M., 2017, Robotics: Science and Systems XIII, RSS 2017. Amato, N., Srinivasa, S., Ayanian, N. & Kuindersma, S. (eds.). MIT Press Journals, (Robotics: Science and Systems; vol. 13).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    • 9 Scopus citations