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Responsibilities: Lead a world-class research programme in electronic engineering, with strong interdisciplinary applications, for example in areas such as robotics, autonomous systems, sensing technologies, and
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, tightly collaborating research groups conducting research and education in Robotics and AI, Intelligent Autonomous Systems, Robot Learning, Machine Learning, Human-Robot Interaction and Natural
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on the DANARC project which focuses on developing an AI-powered robotic system capable of autonomously performing echocardiography with quality comparable to that of experienced cardiologists. This PhD project
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edge, intuitive tele-operation robots with the aim of reducing risks to workers’ health and safety (previous demonstrator https://www.youtube.com/watch?v=yTQICO6ixvk ). In this project you will be
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autonomous unmanned systems see growing deployment in real-world settings, swarms of these systems are becoming essential for accomplishing tasks that cannot be handled by a single robot. In challenging
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the following research areas providing a template for relevant directions: - Field Robotics with a focus on Arctic Environments - Autonomous Navigation and Motion Planning in Sensor-Degraded Disaster Environments
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cutting-edge research in areas such as pattern recognition, automation science, complex systems, AI for Science, robotics, machine learning, computer vision, natural language processing, biometrics, medical
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actuation for soft continuum robots Sensing and tracking of minimally invasive robotic systems Autonomous control in uncertain anatomical environments Computer vision for image-guided robotic procedures (incl
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are seeking a highly motivated Research
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robots with an optical localization system enabling them to navigate autonomously in dynamic and unstructured environments. This requires the robot to be capable of localizing itself within