Welcome to the MINIMAX Lab.

In our lab, we conduct research on Mechatronics, Intelligence and Nanorobotics for Instrumentation, Medication and Automation with Dr. Xia. With the MINIMAX concept, we aim to develop MINIaturized devices to create MAXimized impacts.

MINIMAX

Intelligence

We develop computational intelligence to realize advanced human-like capabilities in automation and physical intelligence to enable smart structures for operation in reseource limited space.

Automation

We work with various industry partners on automation projects to improve rate, quality, cost, and flexibility in manufacturing. 

Instrumentation

We design novel precision instruments to enable previously impossible experiments with extensive experience in atomic force microscopy.

Xia

Dr. Xia is the director of MINIMAX Lab at UT Austin. He obtained his Ph.D. degree in Mechanical Engineering from MIT.

Nanorobotics

We investigate techniques to perform nanoscale characterization and robotic manipulation. Using nanotechnology, we developed novel miniaturized robots.

Mechatronics

Mechatronics is the primary key area of research in our lab with projects in all four key areas of mechanics, electronics, control system and computer algorithm.

Medication

We apply biomechatronics techniques to create novel medical devcies. Selected examples include ingestible electronics, capsule robots, smart needles, etc.

Dr. Fangzhou Xia

Dr. Fangzhou Xia

Assistant Professor

Director: MINIMAX Lab

Walker Department of Mechanical Engineering

 

The University of Texas at Austin

Recent Highlights

Recent News

Front cover of A Systems Approach to Mechatronics, Volume I: Principles, Design, Intelligence, and Applications, by Fangzhou Xia, Muhammad Hawwa, and Kamal Youcef-Toumi.

Mechatronics Book — Expected in 2027

Expected in 2027, A Systems Approach to Mechatronics, Volume I: Principles, Design, Intelligence, and Applications by Fangzhou Xia, Muhammad Hawwa, and Kamal Youcef-Toumi introduces a systems perspective on mechatronic design, intelligence, and applications.

KUKA LBR iiwa 7 robot with a LEAP Hand, cameras, and task board.

DEXTERA — ICRA Under Review

Submitted to ICRA 2027 and currently under review, DEXTERA turns a single RGB scene image into a digital twin for dexterous robot learning. The framework connects scene reconstruction, simulation-based data generation, policy training, and transfer to physical robots.

Original computer-aided design rendering of the AFM instrument and its electronics.

Advanced Mechatronics II — Join Us

Recruiting senior and graduate students for Spring 2027, ME 348F / ME 392Q combines lectures with a hands-on atomic force microscope project. Students integrate mechanical design, electronics, sensors, and feedback control to build and test a complete mechatronic instrument.

A KUKA-mounted voice-coil probe supports static and dynamic tissue-phantom tests.

IROS 2026: Robotic Palpation

Our IROS 2026 paper combines a robot arm with a voice-coil probe for static indentation and dynamic excitation. The system maps tissue-phantom stiffness and viscoelastic properties, resolving subsurface features while combining broad surface coverage with fine local probing.

Prior Work Highlights

AFM Book

Active Probe Atomic Force Microscopy: A Practical Guide on Precision Instrumentation to be published by Springer Nature. The book provides AFM users and developers an under-the-hood look from an instrumentation perspective. https://link.springer.com/book/10.1007/978-3-031-44233-9

ASME DSCD TCV Best Paper Award

Our work for Samsung Electronics published in AIM 2023 as a paper titled "Multi-axis Active Vibration Suppression for Wafer Transfer Systems" won the American Society of Mechanical Engineering (ASME) Vibrations Dynamic Systems and Control Division (DSCD) Technical Committee on Vibrations (TCV) Best Student Paper Award.

Ingestible Electronics

Nanofabricated transducers and microfluidic pumps are intergrated into capsule style electronics. This can be used for health condition monitorning and drug delivery in the gastrointestinal tract as advanced medical devices.

AFM SMILER

AFM SMILER is a Scale Model Interactive Learning Extended Reality Toolkit for Atomic Force Microscopy Created with Digital Twin Technology. The tool can be used for both education and industrial instrument monitoring.

© MINIMAX Lab, Walker Department of Mechanical Engineering, The University of Texas at Austin. All rights reserved.