Optoelectronic Navigation-Based Microtruck: For Efficient Cargo Loading, Transport, and Unloading

  • Ao Wang
  • , Wenyan Niu
  • , Caiding Ni
  • , Shunxiao Huang
  • , Yingjian Guo*
  • , Lin Feng*
  • *Corresponding author for this work

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

Abstract

This study proposes an optoelectronic navigation strategy leveraging Ag-SiO2 microspheres as 'microtruck' to overcome the limitations of traditional optoelectronic tweezers (OET) in manipulating negative dielectrophoresis (nDEP) particles. By dynamically adjusting electric field frequency and optical parameters, we regulate particle-induced dielectrophoretic forces (PiDEP) to achieve efficient adsorption, high-speed transport, and site-specific unloading of nDEP-responsive cargo. Experimental results demonstrate a seven times enhancement in manipulation velocity compared to conventional direct optical methods, along with the capability for simultaneous multi-particle transport. In addition, we utilized finite element simulations to analyze the optimal electric field frequency and optical parameters for the microtruck's loading and unloading processes. Furthermore, a systematic analysis of critical velocities and failure modes under varying cargo loads further validates the robustness of this approach. Demonstrated within a labyrinthine microenvironment, this strategy enables programmable navigation, sequential cargo handling, and micrometer positional accuracy. This study provides an efficient solution for biomedical applications, including precise single-cell manipulation and targeted drug delivery.

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.
Pages2022-2027
Number of pages6
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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