TY - GEN
T1 - Optoelectronic Navigation-Based Microtruck
T2 - 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2025
AU - Wang, Ao
AU - Niu, Wenyan
AU - Ni, Caiding
AU - Huang, Shunxiao
AU - Guo, Yingjian
AU - Feng, Lin
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/105029943330
U2 - 10.1109/IROS60139.2025.11246068
DO - 10.1109/IROS60139.2025.11246068
M3 - 会议稿件
AN - SCOPUS:105029943330
T3 - IEEE International Conference on Intelligent Robots and Systems
SP - 2022
EP - 2027
BT - IROS 2025 - 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems, Conference Proceedings
A2 - Laugier, Christian
A2 - Renzaglia, Alessandro
A2 - Atanasov, Nikolay
A2 - Birchfield, Stan
A2 - Cielniak, Grzegorz
A2 - De Mattos, Leonardo
A2 - Fiorini, Laura
A2 - Giguere, Philippe
A2 - Hashimoto, Kenji
A2 - Ibanez-Guzman, Javier
A2 - Kamegawa, Tetsushi
A2 - Lee, Jinoh
A2 - Loianno, Giuseppe
A2 - Luck, Kevin
A2 - Maruyama, Hisataka
A2 - Martinet, Philippe
A2 - Moradi, Hadi
A2 - Nunes, Urbano
A2 - Pettre, Julien
A2 - Pretto, Alberto
A2 - Ranzani, Tommaso
A2 - Ronnau, Arne
A2 - Rossi, Silvia
A2 - Rouse, Elliott
A2 - Ruggiero, Fabio
A2 - Simonin, Olivier
A2 - Wang, Danwei
A2 - Yang, Ming
A2 - Yoshida, Eiichi
A2 - Zhao, Huijing
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 19 October 2025 through 25 October 2025
ER -