Feedback Control and Adaptive Learning in Optical-Tweezer Robotics

Feedback Control and Adaptive Learning in Optical-Tweezer Robotics by Xiang Li, Shu Miao, and Chien Chern Cheah is a definitive guide for researchers, engineers, and advanced students working at the intersection of photonics, control systems, and microrobotics. Combining rigorous theory with practical insight, this book unlocks the potential of optical-tweezer systems for precision manipulation and automation.

Begin with a compelling overview of modern optical tweezers and their role in biotechnology, materials science, and nanofabrication. The authors then lead readers through the fundamentals of closed-loop feedback control, adaptive learning algorithms, and real-time system identification—presented alongside clear diagrams and real-world case studies. Key topics include feedback stabilization, reinforcement-learning-based control, model-adaptive strategies, noise management, and nanopositioning accuracy.

What sets this volume apart is its emphasis on translating advanced control theory into laboratory-ready solutions. Practical chapters demonstrate how to implement adaptive controllers for single-particle trapping, dynamic stiffness tuning, and multi-beam coordination, making the book indispensable for those building or optimizing optical-tweezer platforms in both academic and industrial labs.

Whether you’re based in North America, Europe, Asia-Pacific, or beyond, this text offers actionable techniques to boost experimental repeatability, throughput, and precision. It’s ideal for graduate courses, R&D teams in photonics and bioengineering, and control-systems professionals seeking state-of-the-art approaches to microscale manipulation.

Add this essential resource to your library to accelerate innovation in optomechanics and robotic micromanipulation. Order your copy today to bring robust feedback control and adaptive learning into your optical-tweezer projects.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.