Michael Hibbard

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 16

Top Topics

Gaussian Process

Partially Observable Markov Decision Process

Approximately Optimal

Planning Under Partial Observability

Top Venues

IEEE Control. Syst. Lett.

Publications

Ege C. Kaya, Michael Hibbard, Takashi Tanaka, Ufuk Topcu, Abolfazl Hashemi
Randomized Greedy Methods for Weak Submodular Sensor Selection with Robustness Considerations. CoRR (2024)
Michael Hibbard, Abolfazl Hashemi, Takashi Tanaka, Ufuk Topcu
Randomized Greedy Algorithms for Sensor Selection in Large-Scale Satellite Constellations. ACC (2023)
Michael Hibbard, Abraham P. Vinod, Jesse Quattrociocchi, Ufuk Topcu
Safely: Safe Stochastic Motion Planning Under Constrained Sensing via Duality. IEEE Trans. Robotics 39 (5) (2023)
Michael Hibbard, Takashi Tanaka, Ufuk Topcu
Simultaneous perception-action design via invariant finite belief sets. Autom. 155 (2023)
Yagiz Savas, Michael Hibbard, Bo Wu, Takashi Tanaka, Ufuk Topcu
Entropy Maximization for Partially Observable Markov Decision Processes. IEEE Trans. Autom. Control. 67 (12) (2022)
Michael Hibbard, Ufuk Topcu, Kerianne Hobbs
. ACC (2022)
Michael Hibbard, Abraham P. Vinod, Jesse Quattrociocchi, Ufuk Topcu
Safely: Safe Stochastic Motion Planning Under Constrained Sensing via Duality. CoRR (2022)
Kyle Dunlap, Michael Hibbard, Mark Mote, Kerianne Hobbs
Comparing Run Time Assurance Approaches for Safe Spacecraft Docking. IEEE Control. Syst. Lett. 6 (2022)
Michael Hibbard, Kirsten Tuggle, Takashi Tanaka
Point-Based Value Iteration and Approximately Optimal Dynamic Sensor Selection for Linear-Gaussian Processes. ACC (2021)
Michael Hibbard, Kirsten Tuggle, Takashi Tanaka
Point-Based Value Iteration and Approximately Optimal Dynamic Sensor Selection for Linear-Gaussian Processes. IEEE Control. Syst. Lett. 5 (6) (2021)
Kyle Dunlap, Michael Hibbard, Mark Mote, Kerianne Hobbs
Comparing Run Time Assurance Approaches for Safe Spacecraft Docking. CoRR (2021)
Michael Hibbard, Takashi Tanaka, Ufuk Topcu
Simultaneous Perception-Action Design via Invariant Finite Belief Sets. CoRR (2021)
Michael Hibbard, Kirsten Tuggle, Takashi Tanaka
Point-Based Value Iteration and Approximately Optimal Dynamic Sensor Selection for Linear-Gaussian Processes. CoRR (2020)
Michael Hibbard, Yasuaki Wasa, Takashi Tanaka
Path Integral Control for Stochastic Dynamic Traffic Routing Problems. CDC (2020)
Michael Hibbard, Yagiz Savas, Zhe Xu, Ufuk Topcu
Minimizing the Information Leakage Regarding High-Level Task Specifications. CoRR (2019)
Michael Hibbard, Yagiz Savas, Bo Wu, Takashi Tanaka, Ufuk Topcu
Unpredictable Planning Under Partial Observability. CDC (2019)