Attend the Collaborative Autonomy Learning from and Adapting to Human Interactions seminar, April 4

Join the School of Manufacturing Systems and Networks for the Collaborative Autonomy Learning from and Adapting to Human Interactions seminar.

Abstract

Autonomous systems are becoming prevalent in our everyday lives and are changing the foundations of our way of life. However, the desirable impacts of autonomy are only achievable if the underlying algorithms can handle the unique challenges humans present. In the context of collaborative industrial tasks, it is important that our autonomous agents understand human motion while being transparent to maximize safety and efficiency. In this talk, we will discuss some of the tradeoffs in safety, interaction and efficiency ever-present in human-robot interaction. We will introduce our work in collaborative manipulation and assembly, providing a hierarchical framework for estimating and tracking human intent. Our system monitors interaction patterns to avoid collisions, minimize interruptions and provide assistance, while being robust to anomalous human behaviors. We demonstrate our system in a collaborative assembly task, highlighting how by increasing human-awareness and intelligence we can increase safety, ergonomics,
 and efficiency.

About the speaker

Katie Driggs-Campbell is an assistant professor of electrical and computer engineering at the University of Illinois Urbana-Champaign with an affiliate role in computer science. She earned her bachelor’s degree from ASU in 2012, master’s degree in 2015 and doctoral degree in 2017 from the University of California, Berkeley before completing a postdoctoral research position at Stanford’s Intelligent Systems Lab. She leads the Human-Centered Autonomy Lab, developing safe autonomous systems and human-interacting robots. Her accolades include the National Science Foundation Faculty Early Career Development Program (CAREER) Award, Institute of Electrical and Electronics Engineers Early Academic Career Award and multiple best paper awards in autonomous systems, robot learning and human-centered artificial intelligence.

Collaborative Autonomy Learning from and Adapting to Human Interactions
Friday, April 4, 2025
10:30 a.m.–noon
Peralta Hall (PRLTA) 132, Polytechnic campus [map]
Attend online via Zoom