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opportunity is sponsored by Alsco. Where to apply Website https://phd.fbk.eu/calls/detail/robot-learning-for-vision-based-quality-control/ Requirements Research Field Other Education Level Master Degree or
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intersection of computer vision, multimodal learning, predictive world models, embodied AI, and human-robot interaction. The candidate will work towards models that go beyond recognising the current
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lab's VR-based teleoperation and data-collection infrastructure, support the collection and curation of robot demonstration datasets, and assist in training, deploying, and evaluating vision-language
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-based teleoperation and data-collection infrastructure, support the collection and curation of robot demonstration datasets, and assist in training, deploying, and evaluating vision-language-action
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, and each robot must interpret its surroundings well enough to judge risk on its own. Vision and language foundation models can support this kind of interpretation, but they rarely model the physics of
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well enough to judge risk on its own. Vision and language foundation models can support this kind of interpretation, but they rarely model the physics of the terrain or the dynamics of the robot. This
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DECIDE research team. DECIDE conducts cutting-edge research on Distributed and Embodied Computing in Dynamic Environments. The team works to realize a vision where humans and robots cooperate
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Future robots must perceive, predict, communicate, and decide reliably in complex, human–robot shared environments. The Mobile Robotics ( https://www.aalto.fi/en/department-of-electrical-engineering
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execution of complex tasks. The research activities will include the development and integration of robot control algorithms, RGB-D vision systems, force sensing and machine-learning methods for robotic
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engineering schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . Position Overview We are seeking a highly motivated Research Fellow to join our research team