Samer B. Nashed
Papers
5
Total Citations
44
H-Index
3
About
Samer B. Nashed is a researcher at the forefront of ethical AI and autonomous decision-making, working to bridge the gap between moral philosophy and practical robotics. His most influential work, "Ethically Compliant Sequential Decision Making" (24 citations), tackles the critical challenge of enabling autonomous systems to adhere to ethical theories during real-world deployment—a foundational contribution as AI becomes increasingly embedded in society. Nashed’s expertise extends to metareasoning, where he applies deep reinforcement learning to optimize the runtime performance of anytime planning algorithms and state abstractions in Markov decision processes, as seen in his 2022 publications. He has also advanced long-term robotic autonomy with work on curating vector maps for consistent localization in changing environments, and most recently, he is pioneering online decision-making over SLAM algorithms to adaptively select the best sensing modality for a given task. Through this diverse portfolio, Nashed is shaping how robots reason, plan, and act responsibly in complex, dynamic worlds.
Research Focus
Key Achievements
Top Papers
- 1Ethically Compliant Sequential Decision Making24 citations · 2021
- 2
- 3Curating Long-Term Vector Maps7 citations · 2016
- 4
- 5