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Adaptive Learning in Brain-Robot Interactions School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Mahnaz Arvaneh Application Deadline: Applications accepted all year
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ultimate goal is to create an imitation-based robot learning framework that enables physical platforms to transition from visual detection to physical inspection in real-world manufacturing. This PhD
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Prediction Memory and Temporal Context Action-Conditioned Future Prediction Human-Aware Planning Socially Intelligent Human-Robot Interaction The exact research questions will be refined with the PhD candidate
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research group in Human-Robot Interaction, currently comprising 5 PhD students, 2 research assistants, and several robots. About the research project Robots are entering human spaces, but they are
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strongly coupled with their surrounding environment through complex aerodynamic or hydrodynamic interactions. These interactions are highly nonlinear and depend on the robot geometry, local flow
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the robot team when communication is limited. Subject description Robotics and artificial intelligence aim to develop novel robotic systems that are characterized by advanced autonomy for improving
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underground mines and areas prone to rockfall. The work covers scene understanding with foundation models, navigation, and coordinated decisions within the robot team when communication is limited
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methods that let a drone fly alongside a ground robot and land on it. We value good collaboration skills and an interest in taking research from the lab to the field. Subject description Robotics and
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Postdoctoral Research Scholar Arizona State University: Knowledge Enterprise: Advanced Capabilities for National Security Institute: Center for Human, Artificial Intelligence, and Robot Teaming
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ABOUT GHENT UNIVERSITY PhD Researcher on Resource efficient robotic world models Ghent University is a world of its own. Employing more than 15.000 people, it is actively involved in education and