| Adaptive sampling and reduced-order modeling of dynamic processes by robot teams T Salam, MA Hsieh IEEE Robotics and Automation Letters 4 (2), 477-484, 2019 | 26 | 2019 |
| Learning and Leveraging Features in Flow-Like Environments to Improve Situational Awareness T Salam, V Edwards, MA Hsieh IEEE Robotics and Automation Letters 7 (2), 2071 - 2078, 2022 | 10 | 2022 |
| Heterogeneous robot teams for modeling and prediction of multiscale environmental processes T Salam, MA Hsieh Autonomous Robots 47 (4), 353-376, 2023 | 8 | 2023 |
| Asynchronous Adaptive Sampling and Reduced-Order Modeling of Dynamic Processes by Robot Teams via Intermittently Connected Networks H Rovina, T Salam, Y Kantaros, MA Hsieh IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020 | 4 | 2020 |
| Online Estimation of the Koopman Operator Using Fourier Features T Salam, AK Li, MA Hsieh Proceedings of The 5th Annual Learning for Dynamics and Control Conference …, 2023 | 2 | 2023 |
| Adaptive Sampling and Energy Efficient Navigation in Time-Varying Flows T Salam, D Kularatne, E Forgoston, MA Hsieh Autonomous Underwater Vehicles, 493-537, 2020 | 2 | 2020 |
| Learning Environmental Models with Multi-Robot Teams Using a Dynamical Systems Approach T Salam University of Pennsylvania, 2022 | 1 | 2022 |
| Self-synchronization of multiple vehicles using ambient impulsive noise P Naughton, T Salam, P Tueller, P Roux, C Schurgers, R Kastner, J Jaffe, ... 2018 Fourth Underwater Communications and Networking Conference (UComms), 1-5, 2018 | | 2018 |
M. Ani HsiehMechanical Engineering & Applied Mechanics, University of PennsylvaniaVerified email at seas.upenn.edu
