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development, model training, test rig set-up, and experimental validation. Job Requirements: The candidate must at least have a PhD Degree in AI, Robotics, Automation, Mechanical Engineering, Control
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Requirements: Possess PhD degree in electrical engineering or related fields Extensive experience in robotics and sensor fusion Experience in system integration and flight control Excellent communication and
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systems, including robotic hardware platforms, multimodal sensing modules and real-time control architectures; (b) conduct independent and in-depth research on multimodal human-robot interaction and
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Responsibilities Develop cloud-based pipelines to process robotic/ATS survey data Build AI/analytics models for alignment, deflection, and tolerance control Design real-time dashboards and alert systems Develop BIM
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, multidisciplinary approach to robot design and control, and the development of novel robotic components and technologies for applications in medical, surgical and rehabilitation robotics, exoskeletons and force
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project - “eMotor+: Ultra-high performance electric motor drive systems for electrified transportation, robots, and automation”. Qualifications Applicants should have: (a) a doctoral degree or an
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Hyundai-NTU-A*STAR Corp Lab serves to drive research development and industry adoption of AI, Robotics, 3D Printing technologies, and Digital Twins through collaborative projects with HMGICS, and
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seamlessly in the physical world through embodied robotic platforms. The PhD candidates will be part of the department’s research activities at OsloMet OceanLab, working within robotics, control, perception
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 21 days ago
: PD & PEWER Level B Research Fellow_SOE.pdf Work with world-leading researchers in robotics, computer vision, and systems and control Contribute to impactful research on cutting-edge event-based sensing
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. Long-horizon and safety-aware planning under uncertainty. Function 2 2. Learning-Based Perception and Control Multi-modal and foundation-model-based approaches for robotics, including: Multi-modal