Events
Past Event
ME512/NIMSI Seminar- Dr. Jay Lee
McCormick - Mechanical Engineering
3:00 PM
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B224, Technological Institute
Details
Center Industrial Big Data and Industrial AI for Resilient Manufacturing and Service Systems
Industrial AI, Big Data Analytics, Machine Learning, and Cyber Physical Systems are changing the way we design
product, manufacturing, and service systems. It is clear that as more sensors and smart analytics software are
integrated into networked industrial products, manufacturing, and maintenance systems, predictive technologies can
further learn and autonomously optimize productivity and performance.This presentation will give an introduction
about industrial big data and industrial AI for smart resilient machines and manufacturing operations, as well as smart
service transformation. First, an overview of digital transformation in different industries will be given, and
fundamental issues on data quality and systematic machine learning will be addressed. In addition, methodologies in
applying industrial AI in large-scale industrial systems will be introduced with case studies. Finally, research issues on
digital twins for high performance and real-time data analytics in future predictive manufacturing and maintenance will
be discussed.
Dr. Jay Lee is Vice Chairman and Board Member of Foxconn Technology Group. Prior to this position, he served as
Vice Chairman of Foxconn Industrial Internet. Currently, he is on leave from the Univ. of Cincinnati where he holds
the Ohio Eminent Scholar and L.W. Scott Alter Chair Professorship . He is the founding director of the National
Science Foundation (NSF) Industry/University Cooperative Research Center (I/UCRC) on Intelligent Maintenance
Systems and is also the Founding Director of the Industrial AI Center. Previously, he served as senior advisor to
McKinsey & Company. Before his academic career, he served as Director for Product Development and
Manufacturing at United Technologies Research Center and as Program Directors for a number of programs at NSF.
He was selected as 30 Visionaries in Smart Manufacturing in by SME in 2016 and 20 most influential professors in
Smart Manufacturing in June 2020. His new book on Industrial AI was published by Springer in 2020.
Please direct any questions to ME512@northwestern.edu or maegen.gregory@northwestern.edu
Time
Monday, October 25, 2021 at 3:00 PM - 4:00 PM
Location
B224, Technological Institute Map
Contact
Calendar
McCormick - Mechanical Engineering
Elizabeth Farrell Helbling, Taking Off: Autonomy for Insect-scale Robots
Center for Robotics and Biosystems (CRB)
12:00 PM
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IEMS C211, Technological Institute
Details
Speaker: Elizabeth Farrell Helbling, Assistant Professor of Electrical and Computer Engineering, Cornell University
Title: Taking Off: Autonomy for Insect-scale Robots
Location: IEMS C211
Zoom Link: https://tinyurl.com/CRBSeminar
• NU-authenticated attendees will be automatically admitted. Others, please email amy.nedoss@northwestern.edu to be admitted from the waiting room.
Abstract: Countless science fiction works have set our expectations for small, mobile, autonomous robots for use in a broad range of applications. The ability to move through highly dynamic and complex environments can expand capabilities in search and rescue operations and safety inspection tasks. These robots can also form a diverse collective to provide more flexibility than a multifunctional robot. Advances in multi-scale manufacturing and the proliferation of small electronic devices have paved the way to realizing this vision with centimeter-scale robots. However, there remain significant challenges in making these highly-articulated mechanical devices fully autonomous due to the severe mass and power constraints. My research takes a holistic approach to navigating the inherent tradeoffs in each component in terms of their size, mass, power, and computation requirements. In this talk I will present strategies for creating an autonomous vehicle, the RoboBee – an insect-scale flapping-wing robot with unprecedented mass, power, and computation constraints. I will present my work on the analysis of control and power requirements for this vehicle, as well as results on the integration of onboard sensors. I also will discuss recent results that culminate nearly two decades of effort to create a power autonomous insect-scale vehicle. Lastly, I will outline how this design strategy can be readily applied to other micro and bioinspired autonomous robots.
Bio: Farrell Helbling is an assistant professor in Electrical and Computer Engineering at Cornell University, where she focuses on the systems-level design of insect-scale vehicles. Her graduate and post-doctoral work at the Harvard Microrobotics Lab focused on the Harvard RoboBee, an insect-scale flapping-wing robot, and HAMR, a bio-inspired crawling robot. Her research looks at the integration of the control system, sensors, and power electronics within the strict weight and power constraints of these vehicles. Her work on the first autonomous flight of a centimeter-scale vehicle was recently featured on the cover of Nature. She is a 2018 Rising Star in EECS, the recipient of a NSF Graduate Research Fellowship, and co-author on the IROS 2015 Best Student Paper for an insect-scale, hybrid aerial-aquatic vehicle. Her work on the RoboBee project can be seen at the Boston Museum of Science, World Economic Forum, London Science Museum, and the Smithsonian, as well as in the popular press (The New York Times, PBS NewsHour, Science Friday, and the BBC). She is interested in the codesign of mechanical and electrical systems for mass-, power-, and computation-constrained robots.
Time
Friday, April 5, 2024 at 12:00 PM - 1:00 PM
Location
IEMS C211, Technological Institute Map
Contact
Calendar
Center for Robotics and Biosystems (CRB)