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Fall 2022 GRASP SFI: Harold Soh, National University of Singapore, “Towards Trustworthy Robots that Interact with People”
December 7, 2022 at 3:00 PM - 4:00 PM
This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance via Zoom.
ABSTRACT
What will it take to develop robots that work with us in real-world tasks? In this talk, we’ll discuss some of our work across the autonomy stack of a robot as we make progress towards an answer. We’ll begin with multi-modal sensing and perception, and then move on to modeling humans with little data. We’ll end with the primary insights gained in our journey and a discussion of challenges in deriving robots that we trust to operate in social environments.
Harold Soh
National University of Singapore
Harold Soh is Assistant Professor in the Department of Computer Science at the National University of Singapore (NUS), where he leads the Collaborative Learning and Adaptive Robots (CLeAR) lab. He completed his Ph.D. at Imperial College London on online learning for assistive robots. Harold’s goal is to develop robots that we can trust to work with people. Harold’s current research focuses on machine learning and decision-making that leverage multiple sensory modalities (particularly vision and tactile sensing) and human models. His research has been recognized with best paper awards and nominations at various conferences including IROS, R:SS, and HRI.