| Toward real-world implementation of deep reinforcement learning for vision-based autonomous drone navigation with mission M Navardi, P Dixit, T Manjunath, NR Waytowich, T Mohsenin, T Oates 2022 Robotics: Science and Systems (RSS), 3rd Workshop on Closing the …, 2022 | 13 | 2022 |
| An optimization framework for efficient vision-based autonomous drone navigation M Navardi, A Shiri, E Humes, NR Waytowich, T Mohsenin 2022 IEEE 4th International Conference on Artificial Intelligence Circuits …, 2022 | 12 | 2022 |
| E2edgeai: Energy-efficient edge computing for deployment of vision-based dnns on autonomous tiny drones M Navardi, E Humes, T Mohsenin 2022 IEEE/ACM 7th Symposium on Edge Computing (SEC), 504-509, 2022 | 7 | 2022 |
| MLAE2: Metareasoning for latency-aware energy-efficient autonomous nano-drones M Navardi, T Mohsenin The IEEE International Symposium on Circuits and Systems (ISCAS), 2023 | 6 | 2023 |
| Efficient language-guided reinforcement learning for resource-constrained autonomous systems A Shiri, M Navardi, T Manjunath, NR Waytowich, T Mohsenin IEEE Micro 42 (6), 107-114, 2022 | 5 | 2022 |
| Peak-Power Aware Life-Time Reliability Improvement in Fault-Tolerant Mixed-Criticality Systems M Navardi, B Ranjbar, N Rohbani, A Ejlali, A Kumar IEEE Open Journal of Circuits and Systems 3, 199-215, 2022 | 4 | 2022 |
| Metae2rl: Toward metareasoning for energy-efficient multi-goal reinforcement learning with squeezed edge yolo M Navardi, E Humes, T Manjunath, T Mohsenin IEEE Micro, 2023 | 2 | 2023 |
| ReProHRL: Towards multi-goal navigation in the real world using hierarchical agents T Manjunath, M Navardi, P Dixit, B Prakash, T Mohsenin On 37th AAAI Conference on Artificial Intelligence, The 1st Reinforcement …, 2023 | 2 | 2023 |
| Squeezed Edge YOLO: Onboard Object Detection on Edge Devices E Humes, M Navardi, T Mohsenin arXiv preprint arXiv:2312.11716, 2023 | 1 | 2023 |
Tinoosh MohseninJohns Hopkins University
Tinoosh MohseninJohns Hopkins University