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Open access Sep 2026

Active learning for data-efficient segmentation of tea buds and leaves

Accurate recognition and segmentation of tea buds and leaves is critical for precision tea management. However, developing robust vision models for tea bud and leaf segmentation typically requires large volumes of manually annotated data, which are costly and time-consuming to obtain. To address this challenge, we prop...

Zhao-Dong Wang, Wen-Zhi Liao, Yang Li et al. · 0 citations
Conference Sep 2026

Robust sliding mode control of robotic manipulators with model uncertainty and external environmental disturbances

A new control scheme is presented in this work for robotic manipulators with model inaccuracies and external disturbances. The strategy is designed in two stages. First, a nonlinear controller is designed on the basis of the nominal system model to satisfy prescribed trajectory-tracking constraints. This controller is...

Xiao-Ying Ye, Hao You, Hong Ge et al. · 0 citations

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