Materials Today Communications, Journal Year: 2024, Volume and Issue: 40, P. 109616 - 109616
Published: June 25, 2024
Language: Английский
Materials Today Communications, Journal Year: 2024, Volume and Issue: 40, P. 109616 - 109616
Published: June 25, 2024
Language: Английский
ACS Nano, Journal Year: 2024, Volume and Issue: 18(14), P. 9980 - 9996
Published: Feb. 22, 2024
Human hands are amazingly skilled at recognizing and handling objects of different sizes shapes. To date, soft robots rarely demonstrate autonomy equivalent to that humans for fine perception dexterous operation. Here, an intelligent robotic system with autonomous operation multimodal ability is developed by integrating capacitive sensors triboelectric sensor. With distributed multiple sensors, our robot can not only sense memorize information but also enable adaptive grasping method positioning grasp control, during which the sensory be captured sensitively fused feature level crossmodally objects, leading a highly enhanced recognition capability. The proposed system, combining performance physical intelligence biological systems (i.e., self-adaptive behavior perception), will greatly advance integration actuators robotics in many fields.
Language: Английский
Citations
33Advanced Composites and Hybrid Materials, Journal Year: 2024, Volume and Issue: 7(3)
Published: May 15, 2024
Language: Английский
Citations
28Materials Today, Journal Year: 2024, Volume and Issue: unknown
Published: Sept. 1, 2024
Language: Английский
Citations
23Nano Energy, Journal Year: 2024, Volume and Issue: 122, P. 109335 - 109335
Published: Jan. 26, 2024
Language: Английский
Citations
20Small, Journal Year: 2024, Volume and Issue: 20(46)
Published: Aug. 11, 2024
Abstract Over the past decades, tactile sensing technology has made significant advances in fields of health monitoring and robotics. Compared to conventional sensors, self‐powered sensors do not require an external power source drive, which makes entire system more flexible lightweight. Therefore, they are excellent candidates for mimicking perception functions wearable ideal electronic skin (e‐skin) intelligent robots. Herein, working principles, materials, device fabrication strategies various platforms introduced first. Then their applications robotics presented. Finally, future prospects systems discussed.
Language: Английский
Citations
20Advanced Fiber Materials, Journal Year: 2024, Volume and Issue: unknown
Published: July 5, 2024
Language: Английский
Citations
19Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: unknown, P. 157938 - 157938
Published: Nov. 1, 2024
Language: Английский
Citations
17Nano Energy, Journal Year: 2025, Volume and Issue: unknown, P. 110689 - 110689
Published: Jan. 1, 2025
Language: Английский
Citations
5Surfaces and Interfaces, Journal Year: 2025, Volume and Issue: unknown, P. 106112 - 106112
Published: Feb. 1, 2025
Language: Английский
Citations
2Advanced Materials, Journal Year: 2023, Volume and Issue: 36(17)
Published: Nov. 23, 2023
Bioinspired artificial skins integrated with reliable human-machine interfaces and stretchable electronic systems have attracted considerable attention. However, the current design faces difficulties in simultaneously achieving satisfactory skin-like mechanical compliance self-powered multimodal sensing. Here, this work reports a microphase-separated bicontinuous ionogel which possesses properties mimics sensing ability of biological skin by ion-driven stimuli-electricity conversion. The exhibits excellent elasticity ionic conductivity, high toughness, ultrastretchability, as well Young's modulus similar to that human skin. Leveraging ion-polymer interactions enabled selective ion transport, can output pulsing or continuous electrical signals response diverse stimuli such strain, touch pressure, temperature sensitively, demonstrating unique Furthermore, ionogel-based I-skin concurrently sense different decouple variations from voltage assistance machine-learning model. ease fabrication, wide tunability, sensing, environmental tolerance ionogels demonstrate new strategy development next-generation soft smart mechano-transduction devices.
Language: Английский
Citations
40