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SMA-TENG Actuator with Tactile Sensing Capability

  • Yiping Zhang
  • , Zihe Liu
  • , Xi Xu
  • , Jiaqi Jin
  • , Boan Yang
  • , Li Wen*
  • , Ziyu Ren*
  • *Corresponding author for this work
  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Shape memory alloy (SMA) is widely employed in developing actuators. However, the lack of sensing capabilities limits its application. This study presents a sensing-actuation integrated device based on SMA and triboelectric nanogenerator (TENG), achieving tactile sensing while maintaining the actuation performance. The proposed core-shell structure not only repurposes the SMA spring as a key component of actuation and sensing, but also effectively isolates the actuation current to prevent interference with the sensing signal. The aerogel-modified silicone composite layer is applied to the SMA to reduce temperature rise by 30.56%, ensuring the sensing performance. With a rapid response time of less than 31 ms and stable sensing performance exceeding 2000 cycles, the SMA-TENG actuator reliably detects dynamically varying forces and bending. Additionally, it generates a maximum actuation force of 3.21 N, which represents a 12.2% increase compared to a standard SMA spring, due to the pre-stress introduced by the composite layer. Moreover, it can actuate a displacement of 7.7 cm and exhibiting a power density of 7.15 × 103 W/m3 (at 0.84 V, 6 A). Finally, we validate its haptic sensing capability during actuation, demonstrating its potential towards interactive robotic systems.

Original languageEnglish
Title of host publicationIROS 2025 - 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems, Conference Proceedings
EditorsChristian Laugier, Alessandro Renzaglia, Nikolay Atanasov, Stan Birchfield, Grzegorz Cielniak, Leonardo De Mattos, Laura Fiorini, Philippe Giguere, Kenji Hashimoto, Javier Ibanez-Guzman, Tetsushi Kamegawa, Jinoh Lee, Giuseppe Loianno, Kevin Luck, Hisataka Maruyama, Philippe Martinet, Hadi Moradi, Urbano Nunes, Julien Pettre, Alberto Pretto, Tommaso Ranzani, Arne Ronnau, Silvia Rossi, Elliott Rouse, Fabio Ruggiero, Olivier Simonin, Danwei Wang, Ming Yang, Eiichi Yoshida, Huijing Zhao
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages7383-7390
Number of pages8
ISBN (Electronic)9798331543938
DOIs
StatePublished - 2025
Event2025 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2025 - Hangzhou, China
Duration: 19 Oct 202525 Oct 2025

Publication series

NameIEEE International Conference on Intelligent Robots and Systems
ISSN (Print)2153-0858
ISSN (Electronic)2153-0866

Conference

Conference2025 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2025
Country/TerritoryChina
CityHangzhou
Period19/10/2525/10/25

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