Papers

3

Total Citations

12

H-Index

2

About

Dr. Abbass Nasser is a pioneering researcher at the intersection of robotics, artificial intelligence, and next-generation wireless communications. His primary contributions lie in the development of efficient planning and control algorithms for self-reconfigurable modular robotic systems (SRMRS), where he has introduced novel techniques such as the robust cluster-based planning method (RUN) and the Fast Structure Embedding Technique (FSET). These works address critical challenges in enabling modular robots to autonomously reorganize their physical structure, achieving faster and more reliable reconfiguration—a key enabler for adaptive automation in manufacturing, space exploration, and disaster response. Beyond robotics, Dr. Nasser has also explored the transformative potential of 6G and AI in healthcare, outlining opportunities and challenges in a forward-looking study. With his most-cited paper accumulating 7 citations since 2023, his research is gaining traction in the modular robotics community. Dr. Nasser’s work bridges hardware design and algorithmic intelligence, positioning him as an emerging voice in scalable, self-adaptive robotic systems.

Research Focus

Key Achievements

2
H-Index
3
Papers
12
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
RUN: a robust cluster-based planning for fast self-reconfigurable modular robotic systems
7 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: American University of Culture and Education, Holy Spirit University of Kaslik

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago