Nano Energy, Journal Year: 2022, Volume and Issue: 104, P. 107929 - 107929
Published: Oct. 27, 2022
Language: Английский
ACS Nano, Journal Year: 2023, Volume and Issue: 17(6), P. 5211 - 5295
Published: March 9, 2023
Humans rely increasingly on sensors to address grand challenges and improve quality of life in the era digitalization big data. For ubiquitous sensing, flexible are developed overcome limitations conventional rigid counterparts. Despite rapid advancement bench-side research over last decade, market adoption remains limited. To ease expedite their deployment, here, we identify bottlenecks hindering maturation propose promising solutions. We first analyze achieving satisfactory sensing performance for real-world applications then summarize issues compatible sensor-biology interfaces, followed by brief discussions powering connecting sensor networks. Issues en route commercialization sustainable growth sector also analyzed, highlighting environmental concerns emphasizing nontechnical such as business, regulatory, ethical considerations. Additionally, look at future intelligent sensors. In proposing a comprehensive roadmap, hope steer efforts towards common goals guide coordinated development strategies from disparate communities. Through collaborative efforts, scientific breakthroughs can be made sooner capitalized betterment humanity.
Language: Английский
Citations
710
Nano Energy, Journal Year: 2023, Volume and Issue: 109, P. 108324 - 108324
Published: March 2, 2023
Language: Английский
Citations
180
Nano Energy, Journal Year: 2022, Volume and Issue: 106, P. 108043 - 108043
Published: Nov. 30, 2022
Language: Английский
Citations
131
Advanced Functional Materials, Journal Year: 2022, Volume and Issue: 32(49)
Published: Sept. 30, 2022
Abstract Human‐machine interfaces (HMIs) play important role in the communication between humans and robots. Touchless HMIs with high hand dexterity hygiene hold great promise medical applications, especially during pandemic of coronavirus disease 2019 (COVID‐19) to reduce spread virus. However, current touchless are mainly restricted by limited types gesture recognition, requirement wearing accessories, complex sensing platforms, light conditions, low recognition accuracy, obstructing their practical applications. Here, an intelligent noncontact gesture‐recognition system is presented through integration a triboelectric sensor (TTS) deep learning technology. Combined deep‐learning‐based multilayer perceptron neural network, TTS can recognize 16 different gestures average accuracy 96.5%. The further applied control robot for collecting throat swabs mode. Compared present HMIs, proposed diverse utilizing charges naturally carried on human fingers without need complicated device structures, adequate achieves accuracy. This could provide exciting opportunities develop new generation equipment, as well public facilities, smart robots, virtual reality, metaverse, etc.
Language: Английский
Citations
128
InfoMat, Journal Year: 2023, Volume and Issue: 5(5)
Published: March 23, 2023
Abstract Intelligent perception means that with the assistance of artificial intelligence (AI)‐motivated brain, flexible sensors achieve ability memory, learning, judgment, and reasoning about external information like human brain. Due to superiority machine learning (ML) algorithms in data processing intelligent recognition, systems possess match or even surpass systems. However, built‐in these need work on dynamic irregular surfaces, inevitably affecting precision fidelity acquired data. In recent years, strategy introducing developed functional materials innovative structures into has made some progress toward above challenges, blessing ML algorithms, accurate various scenarios have been achieved. Here, most representative for constructing are comprehensively reviewed, research based is further summarized, intersection two expected unlock new opportunities next‐stage AI development. image
Language: Английский
Citations
82
Nano Energy, Journal Year: 2022, Volume and Issue: 105, P. 108041 - 108041
Published: Nov. 26, 2022
Language: Английский
Citations
71
Nano Energy, Journal Year: 2023, Volume and Issue: 115, P. 108729 - 108729
Published: July 20, 2023
Triboelectric nanogenerators (TENGs), offering self-powered actuation, grasping, and sensing capabilities without the need for an external power source, have potential to revolutionize field of robotic systems. TENGs can directly convert mechanical energy into electrical that be used small electronics. This review explores huge TENGs' mechanisms modes various robotics actuation applications. Firstly, improvements in efficiency reliability TENG-based systems by are discussed. Following that, grippers having controlled gripping a distinctive ability self-calibrate precise sharp object handling enlightened. Additionally, design development pressure sensors incorporated further Self-powered multimode-sensing devices, which sense many stimuli such as temperature, applied force its direction, humidity, briefly Integrating with human-machine-interaction (HMI) technologies enables more sophisticated intelligent contact environment, is also highlighted. Finally, we addressed challenges future this emerging field. In conclusion, open up wide range opportunities gripping, exceptional precision while being compatible both soft rigid
Language: Английский
Citations
68
Frontiers of Chemical Science and Engineering, Journal Year: 2023, Volume and Issue: 17(6), P. 635 - 678
Published: April 2, 2023
Language: Английский
Citations
65
Nano Energy, Journal Year: 2023, Volume and Issue: 111, P. 108418 - 108418
Published: April 5, 2023
Language: Английский
Citations
51
Nature Food, Journal Year: 2023, Volume and Issue: 4(8), P. 721 - 732
Published: Aug. 10, 2023
Language: Английский
Citations
50