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electronic, electrical, control, or robotics engineering, computer science, or a related field. You have an excellent academic record, with at least a distinction (preferably great distinction). You have
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, control, and interaction for real-world robotic systems Deep learning, multimodal learning, or large-scale AI systems Demonstrated experience in robot deployment, experimentation, and applied AI development
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monitoring system will support control of welding parameters and help optimize robot tool paths. The aim is to achieve a right-first-time approach, with additional benefits of reducing energy and material
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and implement robotic control systems Optimization of formulation for UV 3D printing / direct ink writing 3D printing Contribute to ongoing soft robotics research Design and prototype using CAD software
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, physics-informed control, and digital twin technologies. Project description The project focuses on the development of robotic methods for plant health monitoring that combine robot–plant interaction with
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of experimental design. Identify high-impact research lines. Provide mentoring to researchers in training. Advice on personalized robotic technology. Where to apply Website https://seuelectronica.upc.edu/en
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estimations of the same person. The research will be based on recent spherical representations such as UniphorM. - Activity 2: Integrate both object and person detection in the control of collaborative robot
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, actuation, and control. The research includes the design, fabrication, and experimental validation of micro-scale robotic platforms, integration of optical and imaging-based feedback, and development
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will involve model training, test rig set-up, and experimental validation. Job Requirements: The candidate must at least have a Master Degree in AI, Robotics, Automation, Mechanical Engineering, Control
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make a difference in the world! Position Information Texas A&M AgriLife Research – Dallas Center (https://dallas.tamu.edu/ ) is seeking a highly motivated individual to join the Controlled Environment