Assistant Professor, Department of Mechanical Engineering, Binghamton University
Micro- and nano-agents with functional components can be used in an extensive variety of applications, ranging from nanomanipulation to targeted drug delivery. The automated, very precise manipulation and assembly of micro- and nano-agents would dramatically improve our ability in scalable manufacturing of functional nanorobots, which could transform small-scale manipulation and biosensing techniques in modern manufacturing, healthcare and biology. The robust, efficient, and independent manipulation of multiple agents or particles is limited by the global and coupled influence of wireless, external fields. In this presentation, I will first present the motion control and planning schemes to manipulate multiple micro- and nano-agents that share global external electric fields in liquid suspension with a simple, generic set of electrodes. The proposed adaptive robust motion control has been proved to be stable for precisely driving multiple various types of agents. The motion planning algorithms significantly reduce the computational complexity while maintaining suboptimal performance in both the travel time and distances. Next, the manipulation capability for the different numbers of agents will be analyzed. At last, this talk will introduce the manipulation schemes with applications to functional nanodevices fabrication.
Kaiyan Yu is an Assistant Professor in the Mechanical Engineering Department at Binghamton University, NY, USA. She received the B.S. degree in Intelligent Science and Technology from Nankai University in Tianjin, China in 2010, and the Ph.D. degree in Mechanical and Aerospace Engineering from Rutgers University in Piscataway, NJ, USA in 2017. She joined Binghamton University in 2018. Her current research interests include autonomous robotic systems, motion planning and control, mechatronics, automation science and engineering with applications to nano/micro particles control and manipulation, Lab-on-a-chip and biomedical systems.
Event Date: December 3, 2020 at 4:00 PM