Projects per year
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Dive into the research topics where Naomi Ehrich Leonard is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Individual Differences and Bio-inspired Design of Vehicle Group Dynamics
9/1/19 → 8/31/24
Project: Research project
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Resilience and Robustness in Ecological Distributed Decision-Making Dynamics
7/13/18 → 11/12/23
Project: Research project
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Nonlinear Network Dynamics for Bio-Inspired Collective Decision-Making
NSF - National Science Foundation
9/1/16 → 8/31/20
Project: Research project
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Bio-inspired Scalable Collaboration of Autonomous Vehicles that Sense, Learn, and Decide
7/1/14 → 10/31/18
Project: Research project
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Breaking Indecision in Multiagent, Multioption Dynamics
Franci, A., Golubitsky, M., Stewart, I., Bizyaeva, A. & Leonard, N. E., 2023, In: SIAM Journal on Applied Dynamical Systems. 22, 3, p. 1780-1817 38 p.Research output: Contribution to journal › Article › peer-review
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Nonlinear Opinion Dynamics With Tunable Sensitivity
Bizyaeva, A., Franci, A. & Leonard, N. E., Mar 1 2023, In: IEEE Transactions on Automatic Control. 68, 3, p. 1415-1430 16 p.Research output: Contribution to journal › Article › peer-review
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Structural Properties of Optimal Risk-Aware Controllers for Spatially Invariant Systems
Arbelaiz, J., Bamieh, B. & Leonard, N. E., 2023, In: IEEE Control Systems Letters. 7, p. 3139-3144 6 p.Research output: Contribution to journal › Article › peer-review
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Sustained oscillations in multi-topic belief dynamics over signed networks
Bizyaeva, A., Franci, A. & Leonard, N. E., 2023, 2023 American Control Conference, ACC 2023. Institute of Electrical and Electronics Engineers Inc., p. 4296-4301 6 p. (Proceedings of the American Control Conference; vol. 2023-May).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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A Regret Minimization Approach to Multi-Agent Control
Ghai, U., Madhushani, U., Leonard, N. & Hazan, E., 2022, In: Proceedings of Machine Learning Research. 162, p. 7422-7434 13 p.Research output: Contribution to journal › Conference article › peer-review