Papers
8
Total Citations
60
H-Index
4
About
Khalil Aloui is an emerging researcher specializing in swarm robotics, autonomous mobile robots, and model-based systems engineering (MBSE), with a particular focus on bridging the gap between theoretical design methodologies and practical robotic implementation. His work addresses some of the most pressing challenges in modern robotics, including the systematic design of UAV swarms, automated guided vehicles (AGVs), and collaborative simultaneous localization and mapping (SLAM) for multi-robot systems. Aloui's most influential contribution, "A new SysML Model for UAV Swarm Modeling: UavSwarmML" (2022, 15 citations), introduced a novel modeling language tailored for UAV swarm systems, reflecting his commitment to standardizing complex robotic design processes. His integrated design methodologies for AGVs and swarm robotics, drawing on Industry 4.0 principles and multi-agent technologies, have garnered significant attention with over 13 citations each. A consistent thread throughout his research is the application of SysML and Robot Operating System (ROS) frameworks to ensure design continuity across engineering levels. With a growing body of work accumulating over 60 citations and spanning both systematic reviews and novel modeling frameworks, Aloui is establishing himself as a noteworthy contributor to the intelligent robotics and autonomous systems communities.
Research Focus
Key Achievements
Top Papers
- 1A new SysML Model for UAV Swarm Modeling: UavSwarmML15 citations · 2022
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- 7A new SysML profile for autonomous mobile robots development: ROS2ML3 citations · 2023
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