@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{qing_chi_hong_zhao_qi_li_yin_2024, title={Fully 3D-Printed Miniature Soft Hydraulic Actuators with Shape Memory Effect for Morphing and Manipulation}, ISSN={["1521-4095"]}, DOI={10.1002/adma.202402517}, abstractNote={Miniature shape-morphing soft actuators driven by external stimuli and fluidic pressure hold great promise in morphing matter and small-scale soft robotics. However, it remains challenging to achieve both rich shape morphing and shape locking in a fast and controlled way due to the limitations of actuation reversibility and fabrication. Here, fully 3D-printed, sub-millimeter thin-plate-like miniature soft hydraulic actuators with shape memory effect (SME) for programable fast shape morphing and shape locking, are reported. It combines commercial high-resolution multi-material 3D printing of stiff shape memory polymers (SMPs) and soft elastomers and direct printing of microfluidic channels and 2D/3D channel networks embedded in elastomers in a single print run. Leveraging spatial patterning of hybrid compositions and expansion heterogeneity of microfluidic channel networks for versatile hydraulically actuated shape morphing, including circular, wavy, helical, saddle, and warping shapes with various curvatures, are demonstrated. The morphed shapes can be temporarily locked and recover to their original planar forms repeatedly by activating SME of the SMPs. Utilizing the fast shape morphing and locking in the miniature actuators, their potential applications in non-invasive manipulation of small-scale objects and fragile living organisms, multimodal entanglement grasping, and energy-saving manipulators, are demonstrated.}, journal={ADVANCED MATERIALS}, author={Qing, Haitao and Chi, Yinding and Hong, Yaoye and Zhao, Yao and Qi, Fangjie and Li, Yanbin and Yin, Jie}, year={2024}, month={Jun} }
 @article{li_yu_qing_hong_zhao_qi_su_yin_2024, title={Reprogrammable and reconfigurable mechanical computing metastructures with stable and high-density memory}, volume={10}, ISSN={["2375-2548"]}, DOI={10.1126/sciadv.ado6476}, abstractNote={Mechanical computing encodes information in deformed states of mechanical systems, such as multistable structures. However, achieving stable mechanical memory in most multistable systems remains challenging and often limited to binary information. Here, we report leveraging coupling kinematic bifurcation in rigid cube–based mechanisms with elasticity to create transformable, multistable mechanical computing metastructures with stable, high-density mechanical memory. Simply stretching the planar metastructure forms a multistable corrugated platform. It allows for independent mechanical or magnetic actuation of individual bistable element, serving as pop-up voxels for display or binary units for various tasks such as information writing, erasing, reading, encryption, and mechanologic computing. Releasing the pre-stretched strain stabilizes the prescribed information, resistant to external mechanical or magnetic perturbations, whereas re-stretching enables editable mechanical memory, akin to selective zones or disk formatting for information erasure and rewriting. Moreover, the platform can be reprogrammed and transformed into a multilayer configuration to achieve high-density memory.}, number={26}, journal={SCIENCE ADVANCES}, author={Li, Yanbin and Yu, Shuangyue and Qing, Haitao and Hong, Yaoye and Zhao, Yao and Qi, Fangjie and Su, Hao and Yin, Jie}, year={2024}, month={Jun} }
 @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} }
 @article{zhao_hong_qi_chi_su_yin_2022, title={Self-Sustained Snapping Drives Autonomous Dancing and Motion in Free-Standing Wavy Rings}, volume={12}, ISSN={["1521-4095"]}, DOI={10.1002/adma.202207372}, abstractNote={Abstract}, journal={ADVANCED MATERIALS}, author={Zhao, Yao and Hong, Yaoye and Qi, Fangjie and Chi, Yinding and Su, Hao and Yin, Jie}, year={2022}, month={Dec} }