| Safe Reinforcement Learning Using Robust Control Barrier Functions Y Emam, G Notomista, P Glotfelter, Z Kira, M Egerstedt IEEE Robotics and Automation Letters, 1-8, 2022 | 38 | 2022 |
| 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 | 37 | 2021 |
| 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 …, 2020 | 37 | 2020 |
| Robust barrier functions for a fully autonomous, remotely accessible swarm-robotics testbed Y Emam, P Glotfelter, M Egerstedt 2019 IEEE 58th Conference on Decision and Control (CDC), 3984-3990, 2019 | 36 | 2019 |
| 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 | 26 | 2019 |
| 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 | 22 | 2021 |
| The robotarium: Automation of a remotely accessible, multi-robot testbed S Wilson, P Glotfelter, S Mayya, G Notomista, Y Emam, X Cai, M Egerstedt IEEE Robotics and Automation Letters 6 (2), 2922-2929, 2021 | 14 | 2021 |
| Data-driven adaptive task allocation for heterogeneous multi-robot teams using robust control barrier functions Y Emam, G Notomista, P Glotfelter, M Egerstedt 2021 IEEE International Conference on Robotics and Automation (ICRA), 9124-9130, 2021 | 10 | 2021 |
| A receding horizon scheduling approach for search & rescue scenarios Y Emam, S Wilson, M Hakenberg, U Munz, M Egerstedt IFAC-PapersOnLine 53 (2), 3451-3456, 2020 | 3 | 2020 |
| Wire-traversing robot and method of operation G Notomista, MB Egerstedt, YA Emam US Patent 11,866,079, 2024 | | 2024 |
| A Data-Driven Approach to Long-Duration Autonomy for Heterogenous Robot Teams YA Emam Georgia Institute of Technology, 2022 | | 2022 |
| Data Augmentation with Policy Optimization J Lin, Y Emam | | |
Magnus EgerstedtProfessor and Dean of Engineering, UC IrvineBestätigte E-Mail-Adresse bei uci.edu
