Papers
20
Total Citations
221
H-Index
7
About
Mounir Ghogho is a prominent researcher whose work sits at the dynamic intersection of wireless communications, robotics, and artificial intelligence. His most significant contributions lie in the emerging field of communications-aware robotics — a discipline exploring how mobile robots and unmanned aerial vehicles (UAVs) can optimize their behavior in response to wireless channel conditions. Ghogho's pioneering work on mobility diversity, introduced around 2016, demonstrated how robots could intelligently exploit controlled movement to combat wireless fading and maximize energy harvesting, a concept he has since extended to trajectory planning under real-world channel uncertainty. His research has garnered substantial recognition, with a survey on deep learning techniques for Visual SLAM alone accumulating 71 citations, reflecting its value to the robotics and computer vision communities. Beyond communications-aware navigation, Ghogho has explored physical layer security using omnidirectional aerial vehicles and, most recently, personalized vision-language models for human-robot interaction. His tutorial and survey contributions serve as essential entry points for researchers entering these fields. Collectively, his work bridges theoretical wireless communications with practical autonomous systems, making him a distinctive and influential voice shaping the future of intelligent, communication-enabled robotics.
Research Focus
Key Achievements
Top Papers
- 1Deep Learning Techniques for Visual SLAM: A Survey71 citations · 2023
- 2
- 3Improving Radio Energy Harvesting in Robots Using Mobility Diversity20 citations · 2016
- 4Mobility Diversity-Assisted Wireless Communication for Mobile Robots15 citations · 2016
- 5When Robotics Meets Wireless Communications: An Introductory Tutorial13 citations · 2024
- 6Mobile Robot Path Planners With Memory for Mobility Diversity Algorithms11 citations · 2017
- 7
- 8Communications-Aware Robotics: Challenges and Opportunities7 citations · 2023
- 9
- 10