SwePub
Sök i LIBRIS databas

  Utökad sökning

WFRF:(Yang Yang 1985 )
 

Sökning: WFRF:(Yang Yang 1985 ) > Bioinspired Co-Desi...

LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00004156naa a2200457 4500
001oai:DiVA.org:kth-336851
003SwePub
008230920s2022 | |||||||||||000 ||eng|
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3368512 URI
0247 a https://doi.org/10.1002/aisy.2022000502 DOI
040 a (SwePub)kth
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
1001 a Kong, Depengu Zhejiang Univ, Sch Mech Engn, State Key Lab Fluid Power & Mechatron Syst, Hangzhou 310027, Peoples R China.4 aut
2451 0a Bioinspired Co-Design of Tactile Sensor and Deep Learning Algorithm for Human-Robot Interaction
264 c 2022-04-26
264 1b Wiley,c 2022
338 a print2 rdacarrier
500 a QC 20230920
520 a Robots equipped with bionic skins for enhancing the robot perception capability are increasingly deployed in wide applications ranging from healthcare to industry. Artificial intelligence algorithms that can provide bionic skins with efficient signal processing functions further accelerate the development of this trend. Inspired by the somatosensory processing hierarchy of humans, the bioinspired co-design of a tactile sensor and a deep learning-based algorithm is proposed herein, simplifying the sensor structure while providing computation-enhanced tactile sensing performance. The soft piezoresistive sensor, based on the carbon black-coated polyurethane sponge, offers a continuous sensing area. By utilizing a customized deep neural network (DNN), it can detect external tactile stimulus spatially continuously. Besides, a novel data augmentation method is developed based on the sensor's hexagonal structure that has a sixfold rotation symmetry. It can significantly enhance the generalization ability of the DNN model by enriching the collected training data with generated pseudo-data. The functionality of the sensor and the robustness of the proposed data augmentation strategy are verified by precisely recognizing five touch modalities, illustrating a well-generalized performance, and providing a promising application prospect in human-robot interaction.
650 7a TEKNIK OCH TEKNOLOGIERx Elektroteknik och elektronikx Robotteknik och automation0 (SwePub)202012 hsv//swe
650 7a ENGINEERING AND TECHNOLOGYx Electrical Engineering, Electronic Engineering, Information Engineeringx Robotics0 (SwePub)202012 hsv//eng
653 a data augmentation
653 a deep learning
653 a human-robot interaction
653 a tactile sensor
7001 a Yang, Gengu Zhejiang Univ, Sch Mech Engn, State Key Lab Fluid Power & Mechatron Syst, Hangzhou 310027, Peoples R China.4 aut
7001 a Pang, Gaoyangu Univ Sydney, Sch Elect & Informat Engn, Sydney, NSW 2006, Australia.4 aut
7001 a Ye, Zhiqiuu Zhejiang Univ, Sch Mech Engn, State Key Lab Fluid Power & Mechatron Syst, Hangzhou 310027, Peoples R China.4 aut
7001 a Lv, Honghaou Zhejiang Univ, Sch Mech Engn, State Key Lab Fluid Power & Mechatron Syst, Hangzhou 310027, Peoples R China.4 aut
7001 a Yu, Zhangweiu Zhejiang Normal Univ, Hangzhou Inst Adv Studies, Hangzhou 310027, Peoples R China.4 aut
7001 a Wang, Feiu China Acad Art, Sch Design & Art, Dept Ind Design, Hangzhou 310027, Peoples R China.4 aut
7001 a Wang, Xi Vincent,c Dr.d 1985-u KTH,Produktionsutveckling4 aut0 (Swepub:kth)u1za3gdg
7001 a Xu, Kaichenu Zhejiang Univ, Sch Mech Engn, State Key Lab Fluid Power & Mechatron Syst, Hangzhou 310027, Peoples R China.4 aut
7001 a Yang, Huayongu Zhejiang Univ, Sch Mech Engn, State Key Lab Fluid Power & Mechatron Syst, Hangzhou 310027, Peoples R China.4 aut
7102 a Zhejiang Univ, Sch Mech Engn, State Key Lab Fluid Power & Mechatron Syst, Hangzhou 310027, Peoples R China.b Univ Sydney, Sch Elect & Informat Engn, Sydney, NSW 2006, Australia.4 org
7730 t ADVANCED INTELLIGENT SYSTEMSd : Wileyg 4:6q 4:6x 2640-4567
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-336851
8564 8u https://doi.org/10.1002/aisy.202200050

Hitta via bibliotek

Till lärosätets databas

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy