Samer Hanna
Papers
1
Total Citations
4
H-Index
1
About
Samer Hanna is a researcher at the forefront of multi-robot systems and wireless communications, with a focus on integrating networked robotics with advanced signal processing. His key research areas include multi-robot data aggregation, MIMO communications, and path planning under network constraints. Hanna’s major contribution lies in developing algorithms that optimize robot trajectories to exploit MIMO channel capacity, enabling teams of robots to achieve significantly higher data throughput when communicating with stationary base stations under line-of-sight conditions. His work directly addresses the challenge of efficient data transfer in time-critical multi-robot tasks, such as environmental monitoring or disaster response. With his most-cited paper, “Path Planning Under MIMO Network Constraints for Throughput Enhancement in Multi-robot Data Aggregation Tasks” (2020, 4 citations), Hanna demonstrates how strategic path planning can shorten mission durations by leveraging spatial multiplexing gains. This foundational work has implications for the next generation of autonomous systems, where seamless coordination and high-bandwidth communication are essential. Hanna’s research bridges robotics and wireless networking, offering practical solutions for real-world multi-agent deployments.
Research Focus
Key Achievements
Top Papers
- 1