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the UKRI rate (£19,237 for 2024/25). The start date is October 2024. The Robotics for Extreme Environments Group invites applications for a PhD studentship to develop (semi-)autonomous control of manipulator
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of Computer Science and Technology, at the University of Cambridge, UK. The Prorok Laboratory has a variety of robotic platforms (aerial and ground), and boasts expertise in controlling and deploying them in practice
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Programme? Not funded by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Computer Science: Fully Funded EPSRC DTP PhD Scholarship: Robotic Third Arm
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) into robot learning has recently demonstrated remarkable success. It became possible to ground LLMs in the physical context and solve long-horizon robotic tasks efficiently by querying LLMs to generate a
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of telepresence robots, remotely operated by volunteers or health care professionals, as well as operating autonomously, to provide more pro-active and frequent social interaction and structured support for
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Growing research has highlighted the impact of digitalisation on the logistics sector has resulted in increasing levels of work degradation through the implementation of ‘digital Taylorism’, close surveillance and monitoring of worker activity, coupled with draconian performance management...
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applications, micro-robotics, and materials science. PhD project description: The field of medical therapeutics has valuable applications for mobile devices for efficient drug delivery, called micro-robots
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can be found at nationalrehabilitationcentre.nhs.uk . Due to their compliant nature, soft robotic devices are of significant interest in healthcare applications where comfort, portability and natural
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knowledge, facilities, education, and research. Further information about the project can be found at https://nationalrehabilitationcentre.nhs.uk/. Due to their compliant nature, soft robotic devices
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Funding providers: Engineering and Physical Sciences Research Council (EPSRC) and Swansea University's Faculty of Science and Engineering Subject areas: Intelligent Robotics and Natural