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Robots Predict Human Intention for Faster Builds

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Read the full story on the USC Viterbi School of Engineering website: https://viterbischool.usc.edu/news/2023/04/robots-predict-human-intention-for-faster-builds/

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Erdem Bıyık

Erdem Bıyık is an assistant professor in Thomas Lord Department of Computer Science at the University of Southern California, and in Ming Hsieh Department of Electrical and Computer Engineering by courtesy. He leads the Learning and Interactive Robot Autonomy Lab (Lira Lab). Prior to joining USC, he was a postdoctoral researcher at UC Berkeley's Center for Human-Compatible Artificial Intelligence. He received his Ph.D. and M.Sc. degrees in Electrical Engineering from Stanford University, working at the Stanford Artificial Intelligence Lab (SAIL), and his B.Sc. degree in Electrical and Electronics Engineering from Bilkent University in Ankara, Türkiye. During his studies, he worked at the research departments of Google and Aselsan. Erdem was an HRI 2022 Pioneer and received an honorable mention award for his work at HRI 2020. His works were published at premier robotics and artificial intelligence journals and conferences, such as IJRR, CoRL, RSS, NeurIPS.

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