Marwan A A Badran
Papers
3
Total Citations
7
H-Index
2
About
Marwan A. A. Badran is a robotics researcher focused on bio-inspired design and multi-agent coordination, with a particular emphasis on snake robots and multi-robot systems. His work centers on serpentine locomotion, where he has made contributions to both the mechanical implementation and algorithmic optimization of snake-like robots capable of traversing uneven terrain and narrow passages. Badran’s 2020 paper on implementing motion algorithms for a snake robot prototype (3 citations) and his 2021 multi-objective optimization study using genetic algorithms to minimize travel time and energy consumption (2 citations) demonstrate his interest in balancing performance and efficiency in locomotion. He has also explored collaboration in multi-robot systems, addressing coordination challenges that are fundamental to deploying robot teams in real-world scenarios. Though his citation counts are modest, Badran’s research sits at the intersection of bio-robotics, optimization, and swarm intelligence, offering practical insights for students and researchers interested in how nature-inspired designs can solve complex mobility and cooperation problems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Collaboration in multi-robot systems2 citations · 2015
- 3MULTI-OBJECTIVE OPTIMIZATION OF SNAKE ROBOT IN SERPENTINE LOCOMOTION2 citations · 2021