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, which amongst its wide research portfolio, conducts cutting edge research into the development novel causal inference, automation and robotic control algorithms. We are seeking for a highly motivated PhD
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for 3.5 years. Lead Supervisor’s full name & email address Dr Qian Xie: q.xie2@leeds.ac.uk Project summary Accurate 3D scene understanding is critical for robotics, autonomous driving, and similar
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automation & robotics and machine learning. The project involves the application of innovative methods such as high-throughput experimentation to expediate the syntheses of life-saving pharmaceuticals – all
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Language Models (LLMs) in IoT/Personal Devices The Rust Repository of Babel: Malware Library Securing Open Source Robotics: addressing the flaws in ROS Knowledge-graph based approaches for reasoning about
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underlying material perception: our ability to determine how materials will feel to touch, just from seeing them. Understanding this process has practical consequences for improving tactile sensing, robotics
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groups: Cyber-physical Health and Assistive Robotics Technologies Computational Optimisation and Learning Lab Computer Vision Lab Cyber Security Functional Programming Intelligent Modelling and Analysis
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attitude control, image-based orbital determination, inter-satellite communications, and space robotics. These contributions support efforts in space situational awareness, climate change mitigation, lunar
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triage can help create priorities and organisations in healthcare systems, we aim to create and develop robotic systems that can perform circularity triage tasks in the context of the circular economy. Who