Sami Oweis
Papers
2
Total Citations
14
H-Index
2
About
Sami Oweis is a researcher specializing in multi-agent robotic systems, with a particular focus on autonomous coordination, swarm behavior, and trajectory planning. His work bridges the gap between biological inspiration and practical robotic control, exploring how groups of unmanned vehicles can operate together with minimal human intervention. In his 2014 paper on server-based control flocking for aerial systems, Oweis adapted biological flocking principles—the coordinated movement seen in birds and insects—to control groups of embedded systems, laying groundwork for decentralized aerial swarms. His 2019 work on smooth trajectory planning for autonomous leader-follower robots advanced the field of multi-vehicle platooning, addressing the critical challenge of safe, graceful movement in self-organizing formations. Both papers have each garnered 7 citations, reflecting steady interest from researchers working on autonomous ground and aerial systems. Oweis’s contributions are particularly relevant to the growing fields of drone swarms, warehouse robotics, and autonomous convoy systems, where reliable coordination and collision-free path planning are essential for real-world deployment.
Research Focus
Key Achievements
Top Papers
- 1Server based control flocking for aerial-systems7 citations · 2014
- 2Smooth Trajectory Planning for Autonomous Leader-Follower Robots7 citations · 2019