Zhao-Xin Li

Learning to Harvest: VR-Guided Expert Behaviour Capture for Decision Modelling in Agricultural Robots

While deep learning has significantly enhanced robotic perception in agriculture, autonomous decision-making in dense and occluded environments remains a persistent challenge. This paper proposes a VR-based expert motion capture framework to bridge this gap by integrating high-fidelity virtual environments with human e...