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Field
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mobile robotics, you will manage own academic research and administrative activities, adapt existing and develop new methodologies in robotics, design working algorithms from theories, deploy and test
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, encryption/decryption and compression; use of microelectronics devices (including COTS); implementation, inference, verification and validation of algorithms** on processing hardware platforms for space
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and simple embedding alignment to develop architectures that can process and reason across modalities (vision, language, audio, sensor data) from the ground up. How do we build a truly unified
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, equipped with state-of-the-art facilities, to work on the following: Conduct research, development, and testing of SLAM and multi-sensor fusion algorithms for UAV swarms in GNSS-denied, cluttered
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, equipped with state-of-the-art facilities, to work on the following: Conduct research, development, and testing of SLAM and multi-sensor fusion algorithms for UAV swarms in GNSS-denied, cluttered
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algorithms, like multi-camera approaches or sensor fusion. You will implement currently available methods in this area, evaluate their performance and systematically study their dependability. What you bring
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of fingers, the shapes of the fingers, and the positions of tactile sensors), and the control policy for that hand, when given a particular task or set of tasks. Through this, we aim to develop a framework
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methods for on-sensor computer vision. Specifically, the job involves developing algorithms for embedded systems that are designed to produce sensing and computation on the image plane, and on understanding
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optimise the robot hand design (e.g. the number of fingers, the shapes of the fingers, and the positions of tactile sensors), and the control policy for that hand, when given a particular task or set of
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prototype/demonstrator of a low-cost smart sensor. To develop an efficient algorithm to process the vibration signals locally and to develop the firmware to be embedded within the sensor node. To validate