Papers
34
Total Citations
1,208
H-Index
12
About
Abdelfetah Hentout is a prominent robotics researcher whose work spans human-robot interaction, autonomous navigation, multi-agent systems, and intelligent control. Best known for his landmark 2019 literature review on human-robot interaction in industrial collaborative robotics — which has accumulated over 430 citations — Hentout has established himself as a leading voice in understanding how humans and robots safely share workspaces in modern manufacturing environments. His contributions to mobile robot navigation are equally significant. His 2016 paper combining genetic algorithms with adaptive fuzzy-logic control for optimal path planning has garnered over 245 citations, while subsequent work applying Q-learning to navigation problems reflects his embrace of machine learning approaches. A 2022 review on fuzzy-logic-based collision-free path planning for manipulator robots further cements his expertise in intelligent motion control. Beyond individual robot systems, Hentout has made meaningful contributions to multi-agent architectures for coordinating heterogeneous robot teams in flexible assembly environments. His career-spanning body of work — from early hierarchical behavior-based architectures in 2008 to recent dynamic environment navigation studies — demonstrates a sustained commitment to bridging theoretical robotics with practical industrial applications, making his research invaluable for engineers and academics alike.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Optimal path planning approach based on Q-learning algorithm for mobile robots140 citations · 2020
- 4
- 5
- 6
- 7Multi-agent Architecture Model for Driving Mobile Manipulator Robots20 citations · 2008
- 8
- 9Mobile Manipulation: A Case Study17 citations · 2010
- 10A survey of development frameworks for robotics16 citations · 2016