Fall 2022 GRASP SFI: Harold Soh, National University of Singapore, “Towards Trustworthy Robots that Interact with People”

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.