TY - JOUR
T1 - Bio-inspired co-design
T2 - Integrating robotic maintenance considerations into turbine architecture
AU - Sheikder, Chandan
AU - Zhang, Weimin
AU - Chen, Xiaopeng
AU - Li, Fangxing
AU - Zuo, Zhengqing
AU - Liu, Yichang
AU - He, Xiaohai
AU - Tan, Xinyan
AU - Fan, Shicheng
N1 - Publisher Copyright:
© 2026 Elsevier Ltd
PY - 2026/10
Y1 - 2026/10
N2 - The sustainable growth of wind energy is critically challenged by the high cost and danger of inspecting and maintaining infrastructure, particularly in remote offshore locations. This review contends that bio-inspired and soft robotics present a transformative pathway toward autonomous and resilient wind farm operations. Our synthesis is built upon a systematic analysis of the convergence of biology and robotics, a focused evaluation of advancements in agile mobility and robust autonomy for harsh environments, and a critical appraisal of robotic inspection and repair. We demonstrate how principles from nature, such as animal locomotion, perception, and collective intelligence, are being harnessed to create robots that can navigate complex turbine structures, perform detailed inspections, and execute in situ repairs. The review culminates in a technology readiness roadmap, asserting that these interdisciplinary approaches are essential for significantly reducing the Levelized Cost of Energy (LCOE) and securing the future of wind power.
AB - The sustainable growth of wind energy is critically challenged by the high cost and danger of inspecting and maintaining infrastructure, particularly in remote offshore locations. This review contends that bio-inspired and soft robotics present a transformative pathway toward autonomous and resilient wind farm operations. Our synthesis is built upon a systematic analysis of the convergence of biology and robotics, a focused evaluation of advancements in agile mobility and robust autonomy for harsh environments, and a critical appraisal of robotic inspection and repair. We demonstrate how principles from nature, such as animal locomotion, perception, and collective intelligence, are being harnessed to create robots that can navigate complex turbine structures, perform detailed inspections, and execute in situ repairs. The review culminates in a technology readiness roadmap, asserting that these interdisciplinary approaches are essential for significantly reducing the Levelized Cost of Energy (LCOE) and securing the future of wind power.
KW - Autonomous inspection
KW - Bio-inspired robotics
KW - Robotic repair
KW - Soft robotics
KW - Swarm intelligence
KW - Wind energy
UR - https://www.scopus.com/pages/publications/105041993111
U2 - 10.1016/j.rser.2026.117172
DO - 10.1016/j.rser.2026.117172
M3 - Review article
AN - SCOPUS:105041993111
SN - 1364-0321
VL - 240
JO - Renewable and Sustainable Energy Reviews
JF - Renewable and Sustainable Energy Reviews
M1 - 117172
ER -