Homagni Saha

Iowa State University, National Institute of Technology Rourkela

Papers

Total Citations

H-Index

About

Homagni Saha is a researcher whose work lies at the intersection of robotics, autonomous systems, and data-driven modeling, with a particular focus on agricultural and underwater applications. His most significant contribution is the design and deployment of a novel multi-robot system for plant phenotyping, a breakthrough that addresses the critical challenge of labor-intensive field data collection. By developing both the hardware and software architecture for distributed robotic teams, Saha enables high-throughput, automated data gathering for row crops—a key enabler for large-scale phenotypic studies and precision agriculture. This work, his most cited with 45 citations, demonstrates a clear impact on the field of agricultural robotics. Beyond phenotyping, Saha has explored Granger causality for modeling complex dynamical systems and proposed conceptual designs for autonomous underwater vehicles with enhanced mobility and localization. His thesis on information fusion for decision-making further underscores his commitment to integrating multi-modal sensor data for intelligent autonomous behavior. Through these contributions, Saha advances the practical deployment of multi-robot systems in challenging, real-world environments.