LASER-D (LEGGED-AGILE-SMART-EFFICIENT ROBOT FOR DISINFECTION) 🗓

Sponsor: Seattle Section Affinity Group, CN
Speaker: Dr. Quan Nguyen of University of Southern California
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Meeting Date: March 23, 2021
Time: 4PM
Cost:
Reservations: IEEE

Summary:
In the presenation will be a discussion on the technology behind the robot called LASER-D (Legged-Agile-Smart-Efficient Robot for Disinfection). This is a semi-autonomous quadruped robot for performing disinfection in cluttered environments. The robot is equipped with a spray-based disinfection system and leverages the body motion to controlling the spray action without the need for an extra stabilization mechanism. The system includes an image processing capability to verify disinfected regions with high accuracy. This system allows the robot to successfully carry out effective disinfection tasks while safely traversing through cluttered environments, climb stairs/slopes, and navigate on slippery surfaces. We have also developed simulation software to enable users to design and evaluate disinfection plans.

Bio: Dr. Quan Nguyen of University of Southern California is an Assistant Professor of Aerospace and Mechanical Engineering at the University of Southern California. Prior to joining USC, he was a Postdoctoral Associate in the Biomimetic Robotics Lab at the Massachusetts Institute of Technology (MIT). He received his Ph.D. from Carnegie Mellon University (CMU) in 2017 with the Best Dissertation Award.
His research interests span different control and optimization approaches for highly dynamic robotics including nonlinear control, trajectory optimization, real-time optimization-based control, robust and adaptive control. His work on the bipedal robot ATRIAS walking on stepping stones was featured on the IEEE Spectrum, TechCrunch, TechXplore and Digital Trends. His work on the MIT Cheetah 3 robot leaping on a desk was featured widely in many major media channels, including CNN, BBC, NBC, ABC, etc. Nguyen won the Best Presentation of the Session at the 2016 American Control Conference (ACC) and the Best System Paper Finalist at the 2017 Robotics: Science & Systems conference (RSS).

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