
Materials Science and Engineering R Reports, Journal Year: 2024, Volume and Issue: 163, P. 100891 - 100891
Published: Dec. 12, 2024
Language: Английский
Materials Science and Engineering R Reports, Journal Year: 2024, Volume and Issue: 163, P. 100891 - 100891
Published: Dec. 12, 2024
Language: Английский
Polymers, Journal Year: 2025, Volume and Issue: 17(6), P. 746 - 746
Published: March 12, 2025
Soft robots, constructed from deformable materials, offer significant advantages over rigid robots by mimicking biological tissues and providing enhanced adaptability, safety, functionality across various applications. Central to these are electroactive polymer (EAP) actuators, which allow large deformations in response external stimuli. This review examines EAP including dielectric elastomers, liquid crystal elastomers (LCEs), ionic polymers, focusing on their potential as artificial muscles. EAPs, particularly electronic varieties, noted for high actuation strain, flexibility, lightweight nature, energy efficiency, making them ideal applications mechatronics, robotics, biomedical engineering. also highlights piezoelectric polymers like polyvinylidene fluoride (PVDF), known biocompatibility, ease of fabrication, contributing tactile pressure sensing robotic systems. Additionally, conducting with fast speeds strain capabilities, explored, alongside magnetic composites (MPCs) biomedicine electronics. The integration machine learning (ML) the Internet Things (IoT) is transforming soft enhancing actuation, control, design. Finally, paper discusses future directions self-healing composites, bio-inspired designs, sustainability, continued IoT ML intelligent, adaptive, responsive
Language: Английский
Citations
0Biomimetics, Journal Year: 2025, Volume and Issue: 10(4), P. 224 - 224
Published: April 4, 2025
This paper reviews the research progress of bionic soft robot technology learned from octopuses. The number related papers increased 760 in 2021 to 1170 2024 (Google Scholar query), with a growth rate 53.95% past five years. These studies mainly explore how humans can learn physiological characteristics octopuses for sensor design, actuator development, processor architecture optimization, and intelligent optimization algorithms. tentacle structure nervous system octopus have high flexibility distributed control capabilities, which is an important reference design robots. In terms technology, flexible strain sensors suction cup inspired by achieve accurate environmental perception interaction. Actuator uses muscle fibers movement patterns develop various driving methods, including pneumatic, hydraulic electric systems, greatly improves robot’s motion performance. addition, inspires multi-processor also introduces concept expected functional safety first time safe robots failure or unknown situations. Currently, there are more technologies that draw on octopuses, their application areas constantly expanding. future, further integration artificial intelligence materials science, show greater potential adapting complex environments, human–computer interaction, medical applications.
Language: Английский
Citations
0Sensors and Actuators A Physical, Journal Year: 2025, Volume and Issue: unknown, P. 116559 - 116559
Published: April 1, 2025
Language: Английский
Citations
0Materials Science and Engineering R Reports, Journal Year: 2024, Volume and Issue: 163, P. 100891 - 100891
Published: Dec. 12, 2024
Language: Английский
Citations
0