Leila Kelmoua
Papers
1
Total Citations
2
H-Index
1
About
Leila Kelmoua is a rising researcher at the forefront of autonomous robotics and artificial intelligence, with a particular focus on deep reinforcement learning for mobile systems. Her most-cited work, "Deep Reinforcement Learning for Mobile Robots: Overview and Issues" (2024), provides a comprehensive synthesis of the field, critically examining the challenges and opportunities in applying deep RL to real-world robotic navigation and control. This paper has already garnered attention for its clear articulation of key issues such as sample efficiency, safety, and sim-to-real transfer, serving as a valuable resource for both newcomers and experts. While her citation count is still growing, Kelmoua’s contribution lies in bridging theoretical advances with practical deployment hurdles, offering a roadmap for future research. Her work is particularly notable for its emphasis on the integration of perception and decision-making in dynamic environments, positioning her as a thoughtful voice in the ongoing evolution of intelligent mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1Deep Reinforcement Learning for Mobile Robots: Overview and Issues2 citations · 2024