@article{qi_li_hong_zhao_qing_yin_2024, title={Defected twisted ring topology for autonomous periodic flip-spin-orbit soft robot}, volume={121}, ISSN={["1091-6490"]}, DOI={10.1073/pnas.231268012}, number={3}, journal={PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA}, author={Qi, Fangjie and Li, Yanbin and Hong, Yaoye and Zhao, Yao and Qing, Haitao and Yin, Jie}, year={2024}, month={Jan} }
 @article{zhao_hong_li_qi_qing_su_yin_2023, title={Physically intelligent autonomous soft robotic maze escaper}, volume={9}, ISSN={["2375-2548"]}, DOI={10.1126/sciadv.adi3254}, abstractNote={Autonomous maze navigation is appealing yet challenging in soft robotics for exploring priori unknown unstructured environments, as it often requires human-like brain that integrates onboard power, sensors, and control for computational intelligence. Here, we report harnessing both geometric and materials intelligence in liquid crystal elastomer–based self-rolling robots for autonomous escaping from complex multichannel mazes without the need for human-like brain. The soft robot powered by environmental thermal energy has asymmetric geometry with hybrid twisted and helical shapes on two ends. Such geometric asymmetry enables built-in active and sustained self-turning capabilities, unlike its symmetric counterparts in either twisted or helical shapes that only demonstrate transient self-turning through untwisting. Combining self-snapping for motion reflection, it shows unique curved zigzag paths to avoid entrapment in its counterparts, which allows for successful self-escaping from various challenging mazes, including mazes on granular terrains, mazes with narrow gaps, and even mazes with in situ changing layouts.}, number={36}, journal={SCIENCE ADVANCES}, author={Zhao, Yao and Hong, Yaoye and Li, Yanbin and Qi, Fangjie and Qing, Haitao and Su, Hao and Yin, Jie}, year={2023}, month={Sep} }