Nicolas Chapman

Nicolas Chapman is a PhD Researcher at the Queensland University of Technology (QUT) Centre for Robotics. His research focuses on uncertainty quantification in sensor-based systems and machine learning, particularly for agricultural and environmental robotics. He investigates how uncertainty in these systems can be modeled, quantified, and integrated into mission planning to improve outcomes in challenging environments.

His work bridges robotics, machine learning, and environmental science, emphasizing practical applications in agriculture and autonomous systems. Recent publications explore embodied AI, domain adaptation in object detection, and deep learning for livestock heat stress prediction.

Nicolas collaborates with the QUT Centre for Robotics, contributing to advancements in reliable robotic decision-making under uncertainty. He holds an email address at the Higher Degree Research (HDR) program.