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Jonathan P How

Showing results (1-10 of 8) with videos related to

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IEEE Transactions on Neural Networks and Learning Systems|February 15, 2021
Certifiable Robustness to Adversarial State Uncertainty in Deep Reinforcement LearningMichael Everett, Bjorn Lutjens, Jonathan P How
IEEE Transactions on Robotics : a Publication of the IEEE Robotics and Automation Society|February 10, 2022
Distributed Certifiably Correct Pose-Graph OptimizationYulun Tian, Kasra Khosoussi, David M Rosen, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|September 8, 2010
Autonomous driving in urban environments: approaches, lessons and challengesMark Campbell, Magnus Egerstedt, Jonathan P How, et al.
The Journal of Artificial Intelligence Research|October 29, 2019
Modeling and Planning with Macro-Actions in Decentralized POMDPsChristopher Amato, George Konidaris, Leslie P Kaelbling, et al.
IEEE Transactions on Neural Networks and Learning Systems|February 27, 2015
Bayesian nonparametric adaptive control using Gaussian processesGirish Chowdhary, Hassan A Kingravi, Jonathan P How, et al.
Sensors (Basel, Switzerland)|November 7, 2019
Vision-Based Multirotor Following Using Synthetic Learning TechniquesAlejandro Rodriguez-Ramos, Adrian Alvarez-Fernandez, Hriday Bavle, et al.
IEEE Transactions on Neural Networks and Learning Systems|June 21, 2016
Online Regression for Data With Changepoints Using Gaussian Processes and Reusable ModelsRobert C Grande, Thomas J Walsh, Girish Chowdhary, et al.
Science Advances|December 3, 2025
Aerobatic maneuvers in insect-scale flapping-wing aerial robots via deep-learned robust tube model predictive controlYi-Hsuan Hsiao, Andrea Tagliabue, Owen Matteson, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Neural Networks and Learning Systems|February 15, 2021
Certifiable Robustness to Adversarial State Uncertainty in Deep Reinforcement LearningMichael Everett, Bjorn Lutjens, Jonathan P How
IEEE Transactions on Robotics : a Publication of the IEEE Robotics and Automation Society|February 10, 2022
Distributed Certifiably Correct Pose-Graph OptimizationYulun Tian, Kasra Khosoussi, David M Rosen, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|September 8, 2010
Autonomous driving in urban environments: approaches, lessons and challengesMark Campbell, Magnus Egerstedt, Jonathan P How, et al.
The Journal of Artificial Intelligence Research|October 29, 2019
Modeling and Planning with Macro-Actions in Decentralized POMDPsChristopher Amato, George Konidaris, Leslie P Kaelbling, et al.
IEEE Transactions on Neural Networks and Learning Systems|February 27, 2015
Bayesian nonparametric adaptive control using Gaussian processesGirish Chowdhary, Hassan A Kingravi, Jonathan P How, et al.
Sensors (Basel, Switzerland)|November 7, 2019
Vision-Based Multirotor Following Using Synthetic Learning TechniquesAlejandro Rodriguez-Ramos, Adrian Alvarez-Fernandez, Hriday Bavle, et al.
IEEE Transactions on Neural Networks and Learning Systems|June 21, 2016
Online Regression for Data With Changepoints Using Gaussian Processes and Reusable ModelsRobert C Grande, Thomas J Walsh, Girish Chowdhary, et al.
Science Advances|December 3, 2025
Aerobatic maneuvers in insect-scale flapping-wing aerial robots via deep-learned robust tube model predictive controlYi-Hsuan Hsiao, Andrea Tagliabue, Owen Matteson, et al.
Pageof 1