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October 5, 2025Small Methods4 citations

Shape Morphable Soft Machines and Systems Enabled by Responsive Advanced Materials

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SJShubham JaiswalCDChetna DhandNDNeeraj Dwivedi

Key Points

  • Shape memory polymers enhance flexibility and adaptability in soft robotics, leading to innovative designs.
  • Programmable actuation technology, like shape memory polymers, shows promise despite challenges in speed and durability.
  • Applications of soft machines include artificial muscles, sensors, and grippers, indicating their potential in various fields.
  • Integration of multi-stimuli-responsive materials with AI promises further advancements for soft robotic systems.

Abstract

Abstract Soft robotics revolutionizes robotic design by enabling adaptability, flexibility, and motion inspired by biology. Unlike traditional rigid robots, soft robotic systems interact dynamically with their environment, making them ideal for biomedical devices. A key component of these systems is the actuator. Shape memory polymers (SMPs) have emerged as a promising actuation technology due to their programmable shape transformations in response to various stimuli, reversible deformations, and tunable mechanical properties. However, actuation speed, fatigue resistance, and long‐term durability remain their major bottlenecks. SMP composites, incorporating foreign materials, can enhance the functionality and durability of soft machines and systems. This work critically examines SMP‐driven actuation technologies and their potential in shaping the next generation of soft robotics. The need for smart polymers such as SMPs for soft robotics, the engineering of SMPs on demand, various stimulated responses of soft systems, and finally, the applications of SMP‐enabled soft machines and systems for artificial muscles, grippers, sensors (high‐temperature detectors), switches, and RFID applications are discussed. Multi‐stimuli‐responsive SMPs and their integration with artificial intelligence to advance functionality are also highlighted. In the end, the current challenges and prospects in shape‐memorable soft machines and systems are discussed.

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Cite This Study

Jaiswal et al. (2025) studied this question.

synapsesocial.com/papers/68e2537cd6d66a53c2474755https://doi.org/10.1002/smtd.202501019
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