Annelid-inspired robots exhibit excellent motion adaptability and structural compliance,enabling them to navigate con-lfined,hazardous,or complex environments such as pipelines,soil,or the gastrointestinal tract.This ...Annelid-inspired robots exhibit excellent motion adaptability and structural compliance,enabling them to navigate con-lfined,hazardous,or complex environments such as pipelines,soil,or the gastrointestinal tract.This review summarizes key developments in their bionic part design,actuation methods,material selection,and performance characteristics.Comparative analyses show that different actuation strategies(e.g.,pneumatic,shape memory alloys,and electroactive polymers,ete.)need to be weighed in terms of their advantages,limitations,and applicable environments.Materials likesilicone rubber and SMA are evaluated for their strength,flexibility,and energy performance.Quantitative benchmarks of velocity,load capacity,and energy consumption are presented to highlight design-performance correlations.Prospective research directions include the integration of multifunctional adaptive materials,real-time feedback sensing systems,and scalable architectures for autonomous operation in unstructured environments.展开更多
基金Supported by the Youth Science and Technology Innovation Program of Xiamen Ocean and Fisheries Development Special Funds(No.23ZHZB034QCB38).
文摘Annelid-inspired robots exhibit excellent motion adaptability and structural compliance,enabling them to navigate con-lfined,hazardous,or complex environments such as pipelines,soil,or the gastrointestinal tract.This review summarizes key developments in their bionic part design,actuation methods,material selection,and performance characteristics.Comparative analyses show that different actuation strategies(e.g.,pneumatic,shape memory alloys,and electroactive polymers,ete.)need to be weighed in terms of their advantages,limitations,and applicable environments.Materials likesilicone rubber and SMA are evaluated for their strength,flexibility,and energy performance.Quantitative benchmarks of velocity,load capacity,and energy consumption are presented to highlight design-performance correlations.Prospective research directions include the integration of multifunctional adaptive materials,real-time feedback sensing systems,and scalable architectures for autonomous operation in unstructured environments.
