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Jonathan P. How

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LION: Lidar-Inertial Observability-Aware Navigator for Vision-Denied Environments

Feb 05, 2021
Andrea Tagliabue, Jesus Tordesillas, Xiaoyi Cai, Angel Santamaria-Navarro, Jonathan P. How, Luca Carlone, Ali-akbar Agha-mohammadi

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Non-Monotone Energy-Aware Information Gathering for Heterogeneous Robot Teams

Jan 26, 2021
Xiaoyi Cai, Brent Schlotfeldt, Kasra Khosoussi, Nikolay Atanasov, George J. Pappas, Jonathan P. How

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Efficient Reachability Analysis of Closed-Loop Systems with Neural Network Controllers

Jan 05, 2021
Michael Everett, Golnaz Habibi, Jonathan P. How

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CLIPPER: A Graph-Theoretic Framework for Robust Data Association

Nov 20, 2020
Parker C. Lusk, Kaveh Fathian, Jonathan P. How

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Kimera-Multi: a System for Distributed Multi-Robot Metric-Semantic Simultaneous Localization and Mapping

Nov 08, 2020
Yun Chang, Yulun Tian, Jonathan P. How, Luca Carlone

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A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning

Oct 31, 2020
Dong-Ki Kim, Miao Liu, Matthew Riemer, Chuangchuang Sun, Marwa Abdulhai, Golnaz Habibi, Sebastian Lopez-Cot, Gerald Tesauro, Jonathan P. How

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MADER: Trajectory Planner in Multi-Agent and Dynamic Environments

Oct 21, 2020
Jesus Tordesillas, Jonathan P. How

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MINVO Basis: Finding Simplexes with Minimum Volume Enclosing Polynomial Curves

Oct 21, 2020
Jesus Tordesillas, Jonathan P. How

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Robustness Analysis of Neural Networks via Efficient Partitioning: Theory and Applications in Control Systems

Oct 01, 2020
Michael Everett, Golnaz Habibi, Jonathan P. How

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Lunar Terrain Relative Navigation Using a Convolutional Neural Network for Visual Crater Detection

Jul 15, 2020
Lena M. Downes, Ted J. Steiner, Jonathan P. How

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