News & EventsDepartment Events
Events
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Nov4
EVENT DETAILS
Collaborative robots promise to complementhuman work where automation is infeasible,costly, or ineffective. However, for thesesystems to truly complement human workand to deliver value in domains frommanufacturing to healthcare, their usersmust be able to specify collaborative taskactions for the robot and its humancounterparts. In this talk, I will presentongoing work at the People and RobotsLaboratory that explores novel mechanismsfor end-user specification of collaborativework for humans and robots. Specifically, Iwill present interfaces and systems thatintegrate end-user programming, sharedcontrol, and optimization to allow users toprogram, control, and correct collaborativerobots in real-world tasks.
Bilge Mutlu is the Sheldon B. & Marianne S. Lubar Professor of Computer Science at the University of
Wisconsin–Madison, where he directs the People and Robots Laboratory. His research focuses on
human-centered principles for designing robotic technologies and integrating them into everyday
environments. He teaches courses in human-computer interaction and user experience design and
leads the NSF Graduate Research Traineeship (NRT) program, INTEGRATE: Integrating Robots into
the Future of Work. Dr. Mutlu earned his PhD from Carnegie Mellon University's Human-Computer
Interaction Institute. His work has received over two dozen paper awards and nominations and has
been featured in Popular Science, The Economist, and New Scientist. More information is available
at http://bilgemutlu.com.TIME Monday, November 4, 2024 at 3:00 PM - 4:00 PM
LOCATION L211, Technological Institute map it
CONTACT Jeremy Wells jeremywells@northwestern.edu EMAIL
CALENDAR McCormick - Mechanical Engineering (ME)
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Nov11
EVENT DETAILS
Accelerated and Reduced-Order Simulations of Metal Additive Manufacturing Processes
Additive manufacturing (AM) techniques like laser powder-bed fusion and directed energy deposition allow efficientfabrication of complex metal parts through layer-by-layeraddition of material. Although the economic impact of AM isprojected to potentially exceed hundreds of billions ofdollars, its widespread adoption has been slowed in part byvariability in final material quality. Computational modelsare crucial in understanding the complex relationshipsbetween process, microstructure, and properties that affectmaterial quality and performance. Simulation techniqueshave been developed to successfully predict theserelationships in detail, but computational times are oftentoo slow to allow the rapid and iterative calculations neededfor design, optimization, and control of AM processes andparts. In this talk, I present advances in computationaltechniques that use a collection of physics-based anddata-driven techniques to accelerate AM processsimulation. In one approach, a novel scale separation is usedto allow efficient GPU implementation of temperaturehistory during an AM process. To reduce computationaltimes even further, we introduce reduced-order models forthe smallest scales using machine learning to identify andupdate a smaller set of latent variables. Finally, I show how areduced representation of the crystal grain structureenables effective calibration and validation of process-structure models for AM materials.
TIME Monday, November 11, 2024 at 3:00 PM - 4:00 PM
LOCATION L211, Technological Institute map it
CONTACT Jeremy Wells jeremywells@northwestern.edu EMAIL
CALENDAR McCormick - Mechanical Engineering (ME)
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Nov15
EVENT DETAILS
Speaker: Philip Dames, Associate Professor of Mechanical Engineering, Temple University
Presentation Title: Developing and Deploying Situational Awareness in Autonomous
Robotic SystemsDate and Time: Friday, November 15 at 12:00 PM CT
Location: Tech IEMS C211 and Zoom
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:
Robotic systems must possess sufficient situational awareness in order to successfully operate in complex and dynamic real-world environments. In this talk, I will first describe how multi-target tracking (MTT) algorithms can provide mobile robots with this awareness. Next, I will discuss two key applications of MTT to mobile robotics. The first problem is distributed target search and tracking. To solve this, we develop a distributed MTT framework that scales to large teams and task assignment strategies that automatically balance the workload across a team. The second problem is autonomous navigation through dynamic social spaces filled with people. To solve this, we develop a novel neural network-based controller that takes as its input the target tracks from an MTT, unlike previous approaches which only rely on raw sensor data.Bio:
Philip Dames is an Associate Professor of Mechanical Engineering at Temple University, where he directs the Temple Robotics and Artificial Intelligence Lab (TRAIL). Prior to joining Temple, he was a Postdoctoral Researcher in Electrical and Systems Engineering at the University of Pennsylvania. He received his PhD Mechanical Engineering and Applied Mechanics from the University of Pennsylvania in 2015 and his BS and MS degrees in Mechanical Engineering from Northwestern University in 2010. He is the recipient of an NSF CAREER award. His research aims to improve robots’ ability to operate in complex, real-world environments to address societal needs.TIME Friday, November 15, 2024 at 12:00 PM - 1:00 PM
LOCATION Tech C211, Technological Institute map it
CONTACT Amy Nedoss amy.nedoss@northwestern.edu EMAIL
CALENDAR Center for Robotics and Biosystems (CRB)
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Dec7
EVENT DETAILS
Fall classes end
TIME Saturday, December 7, 2024
CONTACT Office of the Registrar nu-registrar@northwestern.edu EMAIL
CALENDAR University Academic Calendar
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Dec14
EVENT DETAILS
The ceremony will take place on Saturday, December 14 in Pick-Staiger Concert Hall, 50 Arts Circle Drive.
*No tickets required
TIME Saturday, December 14, 2024 at 4:00 PM - 6:00 PM
LOCATION Pick-Staiger Concert Hall map it
CONTACT Andi Joppie andi.joppie@northwestern.edu EMAIL
CALENDAR McCormick School of Engineering and Applied Science