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gastrointestinal tract. The research will contribute to the long-term vision of autonomous medical devices that can safely perform targeted therapy from within the body. References https://sites.google.com/site
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Primary supervisor Adamu Muhammad Buhari Research area Machine Learning Vision-Language-Action (VLA) models are changing the way robots perceive their surroundings, interpret instructions, reason
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Technology is expanding and is looking for a PhD student to strengthen its research on intelligent soft robotic systems. Our international team conducts fundamental and applied research in aerial, space, field
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engineering, or applied physics Two (2) years of relevant experience required. Examples of relevant experience include working with microscopes, robotic equipment, mechanical CAD design, and
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(R2) Research Topics Candidates with expertise in at least one of the following areas are welcome: 3D printing mechatronics / robotic integration Human–robot interaction and ergonomics Field robotics
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degree in Mechanical/ Electronic/ Robotic Engineering or related discipline who will develop novel control methods for soft robotic wearable systems to help older people and people with disabilities
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of methodologies based on Vision- Language Models (VLMs) for the automatic extraction of semantic and contextual information from robotic and collaborative environments. In particular, the successful
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; Process monitoring; Image processing, machine vision, integration of sensors and vision systems in robotic applications CAD / CAE experience. Languages ENGLISH Level Excellent Additional Information
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C Department's Website: https://fayjones.uark.edu/ Summary of Job Duties: The Postdoctoral Fellow Research in Robotics, Advanced Manufacturing and Materials Innovation will join an interdisciplinary
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specific focus on aerial, space and bioinspired robotics. Subject description Robotics and artificial intelligence aim to develop novel robotic systems that are characterised by advanced autonomy for