AI-Driven Robotics for Solar Energy Maintenance: An Interdisciplinary Approach to Education and Sustainability
Maryam Nasri
Project Team- Dr. Maryam Nasri, Assistant Professor, Department of Engineering Technology, SUNY Buffalo State University, (Co-PI); Dr. Gang Hu, Assistant Professor, SUNY Buffalo State University, Department of Computer Information Systems, (Co-PI); Dr. Ilya Grinberg, SUNY Distinguished Teaching Professor and Chair, SUNY Buffalo State University, Department of Engineering Technology, (Collaborator); Jonathan Roy Rosten, Instructional Support Technician / Adjunct Lecturer, SUNY Buffalo State University, Department of Engineering Technology, (Collaborator); Dr. Saquib Ahmed, Associate Professor, Engineering Technology; Founder and Director, Center for Integrated Studies in Nanoscience and Nanotechnology, SUNY Buffalo State University, Department of Engineering Technology, (Collaborator)
Buffalo State College
2025
IITG
$30,000.00
This project introduces an approach to integrating AI-driven robotics into solar energy maintenance while transforming STEM education through hands-on, interdisciplinary learning. The initiative centers on developing an autonomous solar panel maintenance system using drones, AI-powered image analysis, and robotic rovers to optimize efficiency, reduce labor costs, and enhance solar energy output. In addition to its technological innovation, the project prepares students for careers in AI, robotics, and renewable energy.
Students will engage in autonomous system design, aerial robotics, and AI-driven predictive analytics through project-based experiences embedded in the following courses:
• ENT 465 / ENT 466 – Senior Technical Project I & II (Engineering Technology)
• CIS 480 – Introduction to Artificial Intelligence (Computer Information Systems)
These experiences bridge theory with real-world problem-solving, equipping students with industry-relevant skills in embedded systems, robotics, and smart energy applications.
To extend learning beyond the classroom, the initiative will support mentorship programs, industry apprenticeships, and an expanded Robotics Club. It also prioritizes educational accessibility, ensuring that diverse student populations, including those from underrepresented groups at BSU, benefit from AI and sustainability education. This multidisciplinary project strengthens BSU’s leadership in AI-driven sustainability and workforce development.
Project currently ongoing