| Control barrier functions: Theory and applications AD Ames, S Coogan, M Egerstedt, G Notomista, K Sreenath, P Tabuada 2019 18th European control conference (ECC), 3420-3431, 2019 | 1928 | 2019 |
| The robotarium: Globally impactful opportunities, challenges, and lessons learned in remote-access, distributed control of multirobot systems S Wilson, P Glotfelter, L Wang, S Mayya, G Notomista, M Mote, ... IEEE Control Systems Magazine 40 (1), 26-44, 2020 | 236 | 2020 |
| Robot ecology: Constraint-based control design for long duration autonomy M Egerstedt, JN Pauli, G Notomista, S Hutchinson Annual Reviews in Control 46, 1-7, 2018 | 91 | 2018 |
| Barrier-certified adaptive reinforcement learning with applications to brushbot navigation M Ohnishi, L Wang, G Notomista, M Egerstedt IEEE Transactions on robotics 35 (5), 1186-1205, 2019 | 89 | 2019 |
| An optimal task allocation strategy for heterogeneous multi-robot systems G Notomista, S Mayya, S Hutchinson, M Egerstedt 2019 18th European control conference (ECC), 2071-2076, 2019 | 78 | 2019 |
| A fast airplane boarding strategy using online seat assignment based on passenger classification G Notomista, M Selvaggio, F Sbrizzi, G Di Maio, S Grazioso, M Botsch Journal of Air Transport Management 53, 140-149, 2016 | 68 | 2016 |
| A resilient and energy-aware task allocation framework for heterogeneous multirobot systems G Notomista, S Mayya, Y Emam, C Kroninger, A Bohannon, S Hutchinson, ... IEEE Transactions on Robotics 38 (1), 159-179, 2021 | 67 | 2021 |
| Integral control barrier functions for dynamically defined control laws AD Ames, G Notomista, Y Wardi, M Egerstedt IEEE control systems letters 5 (3), 887-892, 2020 | 61 | 2020 |
| Persistification of robotic tasks G Notomista, M Egerstedt IEEE Transactions on Control Systems Technology 29 (2), 756-767, 2020 | 57 | 2020 |
| Constraint-driven coordinated control of multi-robot systems G Notomista, M Egerstedt 2019 American control conference (ACC), 1990-1996, 2019 | 53 | 2019 |
| Adaptive task allocation for heterogeneous multi-robot teams with evolving and unknown robot capabilities Y Emam, S Mayya, G Notomista, A Bohannon, M Egerstedt 2020 IEEE International Conference on Robotics and Automation (ICRA), 7719-7725, 2020 | 51 | 2020 |
| Persistification of robotic tasks using control barrier functions G Notomista, SF Ruf, M Egerstedt IEEE Robotics and Automation Letters 3 (2), 758-763, 2018 | 50 | 2018 |
| Enhancing game-theoretic autonomous car racing using control barrier functions G Notomista, M Wang, M Schwager, M Egerstedt 2020 IEEE international conference on robotics and automation (ICRA), 5393-5399, 2020 | 49 | 2020 |
| Decentralized minimum-energy coverage control for time-varying density functions M Santos, S Mayya, G Notomista, M Egerstedt 2019 international symposium on multi-robot and multi-agent systems (MRS …, 2019 | 45 | 2019 |
| Enhancing bilateral teleoperation using camera-based online virtual fixtures generation M Selvaggio, G Notomista, F Chen, B Gao, F Trapani, D Caldwell 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016 | 44 | 2016 |
| Safe reinforcement learning using robust control barrier functions Y Emam, G Notomista, P Glotfelter, Z Kira, M Egerstedt IEEE Robotics and Automation Letters, 2022 | 41 | 2022 |
| Data-driven robust barrier functions for safe, long-term operation Y Emam, P Glotfelter, S Wilson, G Notomista, M Egerstedt IEEE transactions on robotics 38 (3), 1671-1685, 2021 | 36 | 2021 |
| 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 | 30 | 2019 |
| Vision based virtual fixture generation for teleoperated robotic manipulation M Selvaggio, F Chen, B Gao, G Notomista, F Trapani, D Caldwell 2016 International Conference on Advanced Robotics and Mechatronics (ICARM …, 2016 | 30 | 2016 |
| Safety of dynamical systems with multiple non-convex unsafe sets using control barrier functions G Notomista, M Saveriano IEEE Control Systems Letters 6, 1136-1141, 2021 | 28 | 2021 |
Magnus EgerstedtProfessor and Dean of Engineering, UC IrvineBestätigte E-Mail-Adresse bei uci.edu
