| Containment in leader–follower networks with switching communication topologies G Notarstefano, M Egerstedt, M Haque Automatica 47 (5), 1035-1040, 2011 | 263 | 2011 |
| Biologically inspired confinement of multi-robot systems MA Haque, AR Rahmani, MB Egerstedt International Journal of Bio-Inspired Computation 3 (4), 213-224, 2011 | 49 | 2011 |
| A hybrid, multi-agent model of foraging bottlenose dolphins M Haque, A Rahmani, M Egerstedt IFAC Proceedings Volumes 42 (17), 262-267, 2009 | 24 | 2009 |
| Multilevel coalition formation strategy for suppression of enemy air defenses missions M Haque, M Egerstedt, A Rahmani Journal of Aerospace Information Systems 10 (6), 287-296, 2013 | 19 | 2013 |
| Decentralized formation selection mechanisms inspired by foraging bottlenose dolphins MA Haque, MB Egerstedt Georgia Institute of Technology, 2008 | 17 | 2008 |
| First-order, networked control models of swarming silkworm moths MA Haque, M Egerstedt, CF Martin 2008 American Control Conference, 3798-3803, 2008 | 13 | 2008 |
| Efficient foraging strategies in multi-agent systems through curve evolutions M Haque, A Rahmani, M Egerstedt, A Yezzi IEEE Transactions on Automatic Control 59 (4), 1036-1041, 2013 | 12 | 2013 |
| Geometric foraging strategies in multi-agent systems based on biological models M Haque, A Rahmani, M Egerstedt 49th IEEE Conference on Decision and Control (CDC), 6040-6045, 2010 | 12 | 2010 |
| Rendezvous with multiple, intermittent leaders G Notarstefano, M Egerstedt, M Haque Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held …, 2009 | 10 | 2009 |
| Coalition formation in multi-agent systems based on bottlenose dolphin alliances MA Haque, M Egerstedt 2009 American Control Conference, 3280-3285, 2009 | 10 | 2009 |
| Analysis of Swarm Communication Models M Haque, C Ren, E Baker, D Kirkpatrick, JA Adams European Conference on Artificial Intelligence, 1716-1717, 2016 | 9 | 2016 |
| Biologically inspired coalition formation of multi-agent systems MA Haque, AR Rahmani, MB Egerstedt Georgia Institute of Technology, 2010 | 8 | 2010 |
| Biologically inspired heterogeneous multi-agent systems MA Haque Georgia Institute of Technology, 2010 | 7 | 2010 |
| Analysis of biologically inspired swarm communication models M Haque, E Baker, C Ren, D Kirkpatrick, JA Adams Advances in Hybridization of Intelligent Methods: Models, Systems and …, 2018 | 6 | 2018 |
| Biologically motivated shape optimization of foraging fronts M Haque, A Rahmani, M Egerstedt, A Yezzi Proceedings of the 2011 American Control Conference, 4143-4148, 2011 | 5 | 2011 |
| Sustainable group sizes for multi-agent search-and-patrol teams M Haque, M Egerstedt, C Martin GEORGIA INST OF TECH ATLANTA SCHOOL OF ELECTRICAL AND COMPUTER ENGINEERING, 2010 | 5 | 2010 |
| A high-resolution earth observations and machine learning-based approach to forecast waterborne disease risk in post-disaster settings F Nusrat, M Haque, D Rollend, G Christie, AS Akanda Climate 10 (4), 48, 2022 | 3 | 2022 |
| Efficient Topological Distances and Comparable Metric Ranges M Haque, W Abbas, A Rafter, JA Adams IEEE/RSJ Intl. Conference on Intelligent Robots and Systems, 2017 | 2 | 2017 |
| Waterborne Disease Outbreaks in the Post-Disaster Scenario: Can High-Resolution Earth Observations and Smallsat Imagery Enhance Cholera Forecasting? F Nusrat, AS Akanda, M Haque, D Rollend, G Christie AGU Fall Meeting Abstracts 2020, GH015-0006, 2020 | 1 | 2020 |
| Continuum: A New Observing Strategies-Based Framework for Hyper-Local Situational Awareness M Haque, D Rollend, S Withee, G Christie, I Papusha, R Nikoukar, ... AGU Fall Meeting Abstracts 2020, IN019-10, 2020 | 1 | 2020 |
Magnus EgerstedtProfessor and Dean of Engineering, UC IrvineBestätigte E-Mail-Adresse bei uci.edu
