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integration for robotic manipulators, sensors, and actuators to build reliable, high-performance experimental setups. Plan and execute experimental validation in laboratory and field settings; evaluate
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drones. You will develop SLAM that combines radar, inertial sensors, lidar and cameras, and control methods that let a drone fly alongside a ground robot and land on it. We value good collaboration skills
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UNIVERSITE DE BOURGOGNE (University of Burgundy) | Le Creusot, Bourgogne | France | about 24 hours ago
active sensor in the control loop of complex robotic systems. This team conducts research on robust control, state estimation by vision, visual servoing and machine learning applied to cyber-physical
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of statutory leave. You need a good knowledge of state estimation, sensor fusion or robot perception, and documented experience of experimental work with drones. Previous work with experimentally verified
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good knowledge of state estimation, sensor fusion or robot perception, and documented experience of experimental work with drones. Previous work with experimentally verified results in at least one of
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information from tactile sensors—which characterize the contact between the robotic system and the object—with biosignals acquired from the operator or user, in order to provide the system with complementary
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, you must also apply for the PhD below. https://www.phdscanner.com/opportunities/phd-vacancies-university-of-southampton-united-kingdom-robotic-monitoring-for-place-recognition-and-change-detection-in
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Starting Grant, aims to develop a new class of chemical touch sensors that can be incorporated into robotic prototypes. What are you going to do? As an experienced material scientist and mechanical engineer
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. Key Responsibilities: Develop and implement perception and control algorithms for robotic arms and embodied AI systems. Assist in integrating multimodal AI models (vision, language, force sensors) with
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apply for the PhD below. https://www.phdscanner.com/opportunities/phd-vacancies-university-of-southampton-united-kingdom-robotic-monitoring-for-place-recognition-and-change-detection-in-dynamic-underwater