Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Feedback Control and Adaptive Learning in Optical-Tweezer Robotics

Feedback Control and Adaptive Learning in Optical-Tweezer Robotics

Li, Xiang
Miao, Shu
Cheah, Chien Chern

Paperback

Technology & EngineeringBiology

ISBN10: 0443315485
ISBN13: 9780443315480
Publisher: Academic Press
Published: Oct 20 2025
Pages: 202
Weight: 0.85
Height: 0.48 Width: 7.49 Depth: 9.22
Language: English
Feedback Control and Adaptive Learning in Optical-Tweezer Robotics is a comprehensive guide to merging robotic feedback control with optical trapping techniques in cell manipulation. It begins by providing foundational knowledge in dynamic modeling and control theory, essential for understanding optical-tweezer robotics' complexities. The book explores optical trapping principles, discussing traditional approaches' constraints and challenges. It then introduces a unified control methodology designed for dynamic adaptation to cell movement and escape scenarios, highlighting the importance of closed-loop control strategies in navigating the interaction between optical forces and robotic manipulation.

Additionally, the book delves into adaptive learning algorithms for real-time adjustments in unknown trapping stiffness, addressing challenges like limited field of view, stochastic disturbances, and handling multiple cells. It integrates open-access simulations and real-world experiments to reinforce theoretical concepts, offering practical examples. This unified approach's potential impact on biomedicine, biotechnology, and microscale robotics is emphasized, making it an invaluable resource for readers in these fields.

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