Jiawei Li

Nov 14, 2024 | nature.com | Jiawei Li

AbstractAgile and adaptive maneuvers such as fall recovery, high-speed turning, and sprinting in the wild are challenging for legged systems. We propose a Curricular Hindsight Reinforcement Learning (CHRL) that learns an end-to-end tracking controller that achieves powerful agility and adaptation for the legged robot. The two key components are (i) a novel automatic curriculum strategy on task difficulty and (ii) a Hindsight Experience Replay strategy adapted to legged locomotion tasks.

Nov 13, 2024 | mdpi.com | Jiawei Li |Tao Lai |Yang Chen |Honggun Song

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Sep 11, 2024 | mdpi.com | Yingkai Xia |Jiawei Li |JiaJun Liu |Zhengjiang Guo

1. IntroductionAutomated guided vehicles (AGVs) [1] have become increasingly vital in modern logistics and industrial automation, due to their ability to enhance efficiency and reduce labor costs. AGVs are widely deployed in unmanned environments such as automated warehouses, ports, and factories, to perform tasks like material handling, transportation, and loading/unloading [2].

Sep 4, 2024 | mdpi.com | Jiawei Li |Jun Zhang

1. IntroductionWith the acceleration of global population aging, the quality of life and physical and mental health of the elderly have become the focus of social attention. As a special group, the elderly display significant differences from other age groups in their environmental perception, needs, and preferences. In the urban environment, streets are the most frequently used public spaces in daily life.

Aug 19, 2024 | nature.com | Zhiwei Han |Jiawei Li

AbstractThis study explores aerosol direct, indirect, and feedback effects on meteorology and fine particulate matter during heat waves of August 2022 over eastern China by using an online coupled regional climate–chemistry–aerosol model.