Papers
2
Total Citations
5
H-Index
2
About
Mohamad Daher is a researcher advancing the frontiers of multi-robot systems and urban logistics. His primary focus lies in cooperative localization and sensor diagnosis for multi-vehicle systems, where he explores how robots can safely and reliably work together by sharing environmental observations. In his most cited work, "Comparative Analysis of Centralized and Federated Learning Techniques for Sensor Diagnosis Applied to Cooperative Localization for Multi-Robot Systems" (2023, 3 citations), Daher critically evaluates how different learning architectures can detect sensor faults—a key challenge for maintaining performance and safety in autonomous fleets. This contribution addresses a pressing need in robotics: ensuring robust localization despite individual sensor failures. Daher also tackles practical urban challenges with his work on "Last-mile Robot for Urban Goods Transport" (2021, 2 citations), demonstrating his commitment to real-world applications. By bridging theoretical fault diagnosis with deployable solutions, Daher’s research is shaping the future of cooperative autonomy, offering valuable insights for students and engineers working on resilient, multi-agent systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Last-mile Robot for Urban Goods Transport2 citations · 2021