Abstract
In recent years, the biomimetic approach has been utilized as a mechanism for technological advancement in the field of robotics. However, there has not been a full appreciation of the success and limitations of biomimetics. Similarities between natural and engineered systems are exhibited by convergences, which define environmental factors, which impinge upon design, and direct copying that produces innovation through integration of natural and artificial technologies. Limitations of this integration depend on the structural and mechanical differences of the two technologies and on the process by which each technology arises. The diversity of organisms that arose through evolutionary descent does not necessarily provide all possible solutions of optimal functions. However, in instances where organisms exhibit superior performance to engineered systems, features of the organism can be targeted for technology transfer. In this regard, cooperation between biologists and engineers is paramount.
Highlights
The incorporation of novel structures and mechanisms from nature into the design and function of machines is being attempted through biomimetics
The results indicated that the estimated drag power could not be reconciled with the available power generated by the muscles
The technology associated with the development of robots is becoming more dependent on biomimetics and biologically inspired designs
Summary
The incorporation of novel structures and mechanisms from nature into the design and function of machines is being attempted through biomimetics. The goal of biomimetics in the field of robotics is to use biological inspiration to engineer machines that emulate the performance of animals (Kumph and Triantafyllou 1998; Taubes 2000) in instances where the animal’s performance exceeds current mechanical technology. It has been a long-standing idea that new technologies can be developed from nature (Fish 1998b; Vogel 1998). The potential for the development of new and superior technological designs for enhanced performance based on animal systems has been tantalizing, elusive (Fish 1998b; Vogel 1998).
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