Mohammad Al Khawaldah
Papers
10
Total Citations
70
H-Index
4
About
Mohammad Al Khawaldah is a robotics researcher whose work centers on autonomous multi-robot systems, cooperative exploration, and simultaneous mapping of unknown environments. Over the course of more than a decade, he has made sustained contributions to the field of frontier-based exploration — a technique in which robots identify and navigate toward the boundaries between explored and unexplored space to efficiently map their surroundings. Al Khawaldah's most significant contribution is his development of enhanced frontier-based exploration algorithms designed to minimize exploration time, reduce redundant overlap between cooperating robots, and optimize energy consumption. His 2015 paper, "Enhanced Frontier-Based Exploration for Indoor Environment with Multiple Robots," stands as his most influential work with 24 citations, followed by notable contributions on autonomous cooperative strategies and 3D scanner-equipped robot teams. His research consistently tackles the core challenge of robot coordination, introducing specialized bidding functions and parameter-tuning methods to improve efficiency in multi-agent systems. His work also extends to hybrid approaches, combining wall-following algorithms with frontier techniques and incorporating line-of-sight methods to further accelerate coverage. With a cumulative body of work accumulating over 70 citations, Al Khawaldah's research provides foundational strategies for search-and-rescue robotics, autonomous indoor navigation, and intelligent exploration systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2An Autonomous Exploration Strategy for Cooperative Mobile Robots12 citations · 2014
- 3Multi-Robot Exploration and Mapping with a rotating 3D Scanner10 citations · 2012
- 4
- 5
- 6Multi-Robot Cooperation for Efficient Exploration3 citations · 2014
- 7Fast wall-following exploration with two cooperating mobile robots2 citations · 2010
- 8Multi-Robot Cooperation for Efficient Exploration2 citations · 2014
- 9
- 10Automated Multi-Robot Search for a Stationary Target2 citations · 2014