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Christian Smith is an Associate Professor in the Division of Robotics, Perception and Learning at KTH Royal Institute of Technology. He specializes in human-centric robotics, particularly in manipulation types and handling uncertainty. His research focuses on robot control, design, teleoperation, human tracking, motion modeling, reinforcement learning, and the physical and social aspects of human-robot interaction (HRI). Smith's work includes real-world implementations and applications in social robotics, small-scale industrial manufacturing, and medical healthcare robotics. His current research involves collaboration with industry to explore the combination of supervised and unsupervised learning for mobile manipulation in small-scale manufacturing. He aims to develop methods for fast and flexible automation for small batch sizes, leveraging expertise from human operators. Smith also investigates human-robot interaction, concentrating on handover processes and adapting methods to varied user needs. He teaches robotics courses at KTH, guiding students through the multidisciplinary field while also focusing on fundamental programming skills and practical experience. Smith holds a MSc in Engineering Physics and a PhD in Computer Science, both from KTH, and he has been a docent in Computer Science - Robotics Autonomous Systems since 2018.
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