Stefano Carpin

Stefano Carpin is a Professor in the Department of Computer Science & Engineering at the University of California Merced. His research focuses on robotics, multi-robot systems, and their applications in precision agriculture, environmental monitoring, and automation. He holds a leadership role in advancing algorithms for autonomous systems, including path planning, stochastic optimization, and machine learning integration in agricultural robotics.

His work emphasizes practical solutions for challenges in agriculture, such as water management, crop monitoring, and carbon footprint assessment. He has contributed to projects involving distributed robotics for soil analysis, real-time sensor networks, and adaptive navigation strategies for heterogeneous robotic teams.

Carpin’s recent publications highlight innovations in Monte Carlo Tree Search (MCTS) for stochastic problems, multi-robot coordination, and the application of Gaussian processes for dynamic environmental reconstruction. His research bridges theoretical robotics with real-world applications, aiming to enhance sustainability and efficiency in agricultural practices.

He has been involved in developing open-source tools for robotic irrigation systems and has explored the use of ROS 2 for agricultural navigation. His contributions span conferences like IEEE CASE and journals in robotics and automation, reflecting a commitment to advancing measurable, replicable robotics research.