Author

M. Lu

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Preprint Aug 2026

Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space

This work proposes a hierarchical reinforcement learning pipeline that empowers the robots to perform aggressive locomotion through constrained obstacles--a narrow gate, extending the lifelike agility of legged robots to match that of their biological counterparts.

Zeren Luo, Jiahui Zhang, Yimin Han et al. · 1 citation

Conference Open access 2026

A Multi-class Rice Disease Recognition Method based on Illumination-Robust and Attention-Augmented MobileNetV2

The rice disease identification method proposed in this paper provides a reference for the deployment and application of the method in different light conditions in the field and achieves test average accuracy of 83.9% and a maximum validation accuracy of 88.0% on the testing sets.

M. Lu · ITM Web of Conferences · 0 citations