Liwei Lin (Advisor)

Research Advised by Professor Liwei Lin

Lin Group:  List of Projects | List of Researchers

BPN962: Insect-Scale Flying Robots

Fanping Sui
Kamyar Behrouzi
Wei Yue
2022

Insect-scale untethered flight with maneuverability is very challenging toward possible practical applications and attitude-stabilized flight (hovering) is one of the first steps for long-time air flight operations. In this project, we introduce the insect-scale, untethered, rotating-wing aerial vehicles with inherent stability by the gyroscopic effect to achieve several key advancements: (1) powered by alternating magnetic fields wirelessly; (2) 160-mg in weight and 20.0-mm-in-diameter in size – smallest untethered flying robot in the world; and (3) attitude-stabilized flights (...

Wu Lab: Tiny Switches Give Solid-State LiDAR Record Resolution

March 9, 2022

When Google unveiled its first autonomous cars in 2010, the spinning cylinder mounted on the roofs really stood out. It was the vehicle’s light detection and ranging (LiDAR) system, which worked like light-based radar. Together with cameras and radar, LiDAR mapped the environment to help these cars avoid obstacles and drive safely.

Since then, inexpensive, chip-based cameras and radar systems have moved into the mainstream for collision avoidance and autonomous highway driving. Yet, LiDAR navigation systems remain unwieldy mechanical devices that cost thousands of...

Auto-Posting and Haptic Stimulations via a 35mm Square pMUT Array

Wei Yue
Yande Peng
Hanxiao Liu
Fan Xia
Fanping Sui
Seiji Umezawa
Shinsuke Ikeuchi
Yasuhiro Aida
Liwei Lin
2023

This work reports an engineered platform for the non-contact haptic stimulation on human skins by means of an array of piezoelectric micromachined ultrasonic transducer (pMUT) via the beamforming scheme. Compared to the state-of-art reports, three distinctive achievements have been demonstrated: (1) individual single pMUT unit based on lithium niobate (LN) with measured high SPL (sound pressure level) of 133 dB at 2 mm away; (2) a beamforming scheme simulated and experimentally proved to generate ~2.3x higher pressure near the focal point; and (3) the combination of auto-positioning and...

Drone-Mounted Low-Frequency pMUTs for > 6-Meter Rangefinder in Air

Hanxiao Liu
Yande Peng
Wei Yue
Seiji Umezawa
Shinsuke Ikeuchi
Yasuhiro Aida
Chunming Chen
Peggy Tsao
Ying Dong
Xiaohao Wang
Liwei Lin
2023

This paper reports a low-frequency piezoelectric micromachined ultrasonic transducer (pMUT)
with a small attenuation coefficient to realize the long-distance rangefinding applications in air.
Pulse-detection measurements of one pair of pMUT devices show a >6-meter traveling distance in
air under a 37.32 kHz driving frequency. As an example, two pMUT chips are mounted on two...

Trial-and-Error Learning for MEMS Structural Design Enabled by Deep Reinforcement Learning

Fanping Sui
Wei Yue
Ziqi Zhang
Ruiqi Guo
Liwei Lin
2023

We present a systematic MEMS structural design approach via a “trial-and-error” learning process by using the deep reinforcement learning framework. This scheme incorporates the feedbackfrom each “trial” to obtain sophisticated strategies for MEMS design optimizations. Disk-shaped resonators are selected as case studies and three remarkable advancements have been realized:1) accurate overall performance predictions (97.9%) via supervised learning models; 2) efficientMEMS structural optimizations to guarantee targeted structural properties with an excellent generation accuracy of 97.7%; and...

BSAC Co-Director, Professor Liwei Lin Named 2022 Bakar Fellows Spark Award Recipient

August 1, 2022

Liwei Lin, Bakar Fellow Spark Award Recipient 2022

The Bakar Fellows Spark Award is designed to accelerate Berkeley faculty-led research to tangible, positive societal impact through commercialization. Through a competitive application process, faculty members are selected as Bakar Faculty Fellows and awarded discretionary research support to fulfill proposed milestones and move their innovative...

Neil Ramirez

Graduate Student Researcher
Mechanical Engineering
Professor Liwei Lin (Advisor)
Ph.D. 2022

Neil received his B.S. in Mechanical Engineering from the Ohio State University in 2017 and M.S. from Berkeley in Spring 2019. He is currently a 4th year PhD candidate in the Liwei Lin group. His research focuses on flexible devices for applications in energy generation and sensing.

A High Seebeck Coeffiecient Thermoelectric Generator Based on a Self-Healing Ionogel

Yu Long
Peisheng He
Yande Peng
Liwei Lin
2022

In this work, we report a thermoelectric energy harvester based on an ion-conductive ionogel withthree distinctive features as compared with the state-of-art systems: (1) selfhealable in both thematerial and device operations under large deformations; (2) ultrahigh Seebeck coefficient withthe measured value of 7068 μV/K for the material, and 298 μV/K for a prototype energy harvesterin operations; and (3) stable performances under large bending states with little...

Facile Fabrication of Multilayer Stretchable Electronics via a Two-Mode Mechanical Cutting Process

Renxiao Xu
Peisheng He
Guangchen Lan
Kamyar Behrouzi
Yande Peng
Dongkai Wang
Tao Jiang
Ashley Lee
Yu Long
Liwei Lin
2021
A time- and cost-effective fabrication methodology via a two-mode mechanical cutting process for multilayer stretchable electronics has been developed without using the conventional photolithography-based processes. A commercially available vinyl cutter is used for defining complex patterns on designated material layers by adjusting the applied force and the depth of the cutting blade. Two distinct modes of mechanical cutting can be achieved and employed to establish the basic fabrication procedures for common features in stretchable electronics, such as the metal interconnects, contact...

Programmable Tactile Feedback Patterns for Cognitive Assistance by Flexible Electret Actuators

Tao Jiang
Wenying Qiu
Zhaoyang Li
Xing Ye
Yuhan Liu
Yushi Li
Xiaohao Wang
Junwen Zhong
Xiang Qian
Liwei Lin
2021

Advanced tactile feedback systems are important tools in the field of human–machine interfaces. In this work, an airflow-assisted corona charging process is utilized to charge films made of electret material for the construction of a sandwich-structured flexible actuator system. With a voltage as low as 20 V, this flexible actuator can stimulate skin sensations for basic tactile feedback functions. Under a driving voltage of 200 V, the system can generate an output force of ≈55 mN, which is larger than that of the output force by cellphones under the vibration mode. Utilizing these...