Articles with public access mandates - Magnus EgerstedtLearn more
Not available anywhere: 16
Localization in densely packed swarms using interrobot collisions as a sensing modality
S Mayya, P Pierpaoli, G Nair, M Egerstedt
IEEE Transactions on Robotics 35 (1), 21-34, 2018
Mandates: Australian Research Council
Human–swarm interactions via coverage of time-varying densities
Y Diaz-Mercado, SG Lee, M Egerstedt
Trends in Control and Decision-Making for Human–Robot Collaboration Systems …, 2017
Mandates: US Department of Defense
The SlothBot: A novel design for a wire-traversing robot
G Notomista, Y Emam, M Egerstedt
IEEE Robotics and Automation Letters 4 (2), 1993-1998, 2019
Mandates: US Department of Defense
Infinitesimally shape-similar motions using relative angle measurements
I Buckley, M Egerstedt
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
Mandates: US National Science Foundation
Real-time optimal feedback control of switched autonomous systems
XC Ding, A Schild, M Egerstedt, J Lunze
IFAC Proceedings Volumes 42 (17), 108-113, 2009
Mandates: German Research Foundation
Multirobot mixing via braid groups
Y Diaz-Mercado, M Egerstedt
IEEE Transactions on Robotics 33 (6), 1375-1385, 2017
Mandates: US Department of Defense
Coordination of robot teams over long distances: From Georgia tech to Tokyo tech and back-an 11,000-km multirobot experiment
R Funada, X Cai, G Notomista, MWS Atman, J Yamauchi, M Fujita, ...
IEEE Control Systems Magazine 40 (4), 53-79, 2020
Mandates: US Department of Defense
Heterogeneous coverage control with mobility-based operating regions
S Kim, M Egerstedt
2022 American Control Conference (ACC), 2148-2153, 2022
Mandates: US Department of Defense
Trust in multi-agent networks: From self-centered to team-oriented
T Setter, A Gasparri, M Egerstedt
2017 American Control Conference (ACC), 997-1002, 2017
Mandates: US Department of Defense
Self-assembly of a class of infinitesimally shape-similar frameworks
I Buckley, M Egerstedt
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
Mandates: US Department of Defense
Coverage control on the special euclidean groups
R Lin, M Egerstedt
2023 American Control Conference (ACC), 1972-1979, 2023
Mandates: US Department of Defense
Learning Deep Neural Network Controller for Path Following of Unicycle Robots
P Saha, L Guerrero-Bonilla, M Egerstedt, S Mukhopadhyay
IEEE Robotics and Automation Letters 8 (1), 248-255, 2022
Mandates: US Department of Defense
A decentralized heterogeneous control strategy for a class of infinitesimally shape-similar formations
I Buckley, M Egerstedt
2019 International Conference on Robotics and Automation (ICRA), 2004-2010, 2019
Mandates: US Department of Defense
Controller synthesis for infinitesimally shape-similar formations
I Buckley, M Egerstedt
2020 IEEE International Conference on Robotics and Automation (ICRA), 5597-5603, 2020
Mandates: US Department of Defense
Ensured Continuous Surveillance Despite Sensor Transition Using Control Barrier Functions
L Guerrero-Bonilla, C Nieto-Granda, M Egerstedt
The International Symposium of Robotics Research, 404-419, 2022
Mandates: US Department of Defense
Orbital control for a class of planar impulsive hybrid systems with controllable resets
A Schild, M Egerstedt, J Lunze
Hybrid Systems: Computation and Control: 12th International Conference, HSCC …, 2009
Mandates: German Research Foundation
Available somewhere: 85
Safety barrier certificates for collisions-free multirobot systems
L Wang, AD Ames, M Egerstedt
IEEE Transactions on Robotics 33 (3), 661-674, 2017
Mandates: US National Science Foundation
The robotarium: A remotely accessible swarm robotics research testbed
D Pickem, P Glotfelter, L Wang, M Mote, A Ames, E Feron, M Egerstedt
2017 IEEE International Conference on Robotics and Automation (ICRA), 1699-1706, 2017
Mandates: US National Science Foundation
Nonsmooth barrier functions with applications to multi-robot systems
P Glotfelter, J Cortés, M Egerstedt
IEEE control systems letters 1 (2), 310-315, 2017
Mandates: US National Science Foundation
Safe learning of quadrotor dynamics using barrier certificates
L Wang, EA Theodorou, M Egerstedt
2018 IEEE International Conference on Robotics and Automation (ICRA), 2460-2465, 2018
Mandates: US National Science Foundation
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