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Bioinspired Soft Machines: Engineering Nature’s Grace into Future Innovations

Ajay Vikram Singh, Mohammad Hasan Dad Ansari, Arindam K. Dey, Peter Laux, Shailesh Kumar Samal, Paolo Malgaretti, Soumya R. Mohapatra, Mrutyunjay Suar, Veronica Tisato, Donato Gemmati

Year
2025
Citations
12
Access
Open access

Abstract

This article explores the transformative advances in soft machines, where biology, materials science, and engineering have converged. We discuss the remarkable adaptability and versatility of soft machines, whose designs draw inspiration from nature's elegant solutions. From the intricate movements of octopus tentacles to the resilience of an elephant's trunk, nature provides a wealth of inspiration for designing robots capable of navigating complex environments with grace and efficiency. Central to this advancement is the ongoing research into bioinspired materials, which serve as the building blocks for creating soft machines with lifelike behaviors and adaptive capabilities. By fostering collaboration and innovation, we can unlock new possibilities in soft machines, shaping a future where robots seamlessly integrate into and interact with the natural world, offering solutions to humanity's most pressing challenges.

Keywords

AdaptabilityRobotTransformative learningSoft roboticsSoft materialsNanotechnologyComputer scienceResilience (materials science)Artificial intelligenceEngineering

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