Machine learning–driven design of engineered cilia enables hybrid operations in acoustic microrobots

Y Yun Ling Y Yujing Lu J Joseph Rich M Mingyuan Liu (Department of Electrical and Computer Engineering, Duke University) X Xianchen Xu T Ty Naquin Y Ying Chen S Shanglin Li (Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University) R Ruoyu Zhong K Kaichun Yang S Shuaiguo Zhao Q Qian Wu K Ke Jin (National Laboratory of Solid State Microstructures, Collaborative Innovation Center of Advanced Microstructures and School of Physics, Nanjing University , Nanjing 210093,) T Tony Jun Huang

Article Details

Volume / Issue Vol. 17, Issue 1
Published March 12, 2026
ISSN 2041-1723
Publisher Nature Portfolio

Journal Info

Nature Communications

Nature Portfolio

ISSN: 2041-1723 Open Access Life Sciences

Authors (14)

Y

Yun Ling

Y

Yujing Lu

J

Joseph Rich

M

Mingyuan Liu

Department of Electrical and Computer Engineering, Duke University

X

Xianchen Xu

T

Ty Naquin

Y

Ying Chen

S

Shanglin Li

Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University

R

Ruoyu Zhong

K

Kaichun Yang

S

Shuaiguo Zhao

Q

Qian Wu

K

Ke Jin

National Laboratory of Solid State Microstructures, Collaborative Innovation Center of Advanced Microstructures and School of Physics, Nanjing University , Nanjing 210093,

T

Tony Jun Huang