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inspection system that are fabricated by robots and multimodal sensors. Development of analytic models, simulation, and optimization for the quality inspection systems. Development of a predictive model for
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reinforcement learning using degraded human feedbacks. Develop distributed localization approaches for multi-agent systems. Investigate the suitability of various sensors for robot navigation in human-sense
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (Robotics and Metal Additive Mfg) Posting Start Date: 22/08/2025 Job Description: Job Description The National University
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technologies Artificial Intelligence and Machine Learning applications Computer Vision and sensor integration for agricultural applications Human-Robot Interaction in agricultural contexts Robotic Perception and
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individually, make a real difference. The role A research fellow position is available to work on the project “Dynamic and Adaptable Monitoring of Greenhouse Gas Emissions with Robots” funded by the UKRI Natural
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Applied Sciences has a vacancy for PhD Research Fellow in Semi-Autonomous Teleoperated Robots The PhD research fellow will be part of the PhD programme in Computer Science: Software Engineering, Sensor
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individually, make a real difference. The role A research fellow position is available to work on the project “Dynamic and Adaptable Monitoring of Greenhouse Gas Emissions with Robots” funded by the UKRI Natural
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with Robots” funded by the UKRI Natural Environment Research Council (NERC) at the University of Surrey. Accurately measuring greenhouse gas emissions from human activity is challenging. Static sensors
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Monitoring of Greenhouse Gas Emissions with Robots” funded by the UKRI Natural Environment Research Council (NERC) at the University of Surrey. Accurately measuring greenhouse gas emissions from human activity
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Institute of Systems and Robotics, Faculty of Sciences and Technology of the University of Coimbra | Portugal | 12 days ago
the bachelor’s/licentiate degree and/or an ongoing master’s degree (30%); Criterion 2. Initial familiarity with concepts in mobile robotics (e.g., mapping, SLAM), sensor technologies (LiDAR, cameras, IMUs), and