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Field
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the integration of autonomous vessels into maritime transport and port logistics. The research will use data from vessels, sensors, environments and traffics to analyse the operational and nautical
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longitudinal, randomized controlled trial (RCT), and intensive longitudinal data (ILD/ecological momentary assessment/wearable or passive sensor) formats. (EF) Implement frequentist mixed-effects models and
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Systematically define user and system requirements, develop conceptual designs, and conduct feasibility assessments. Identify, design, and develop robotic subsystems, including locomotion and mobility systems
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subsystems, including locomotion and mobility systems, manipulation and adaptive gripping mechanisms, baggage handling and stacking systems, safety, and reliability systems. Develop CAD models, digital
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in collaborative robotic tasks. Responsibilities include sensor integration, data collection, signal processing, and algorithm development. Perform other duties as assigned or requested by the direct
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dynamics, control algorithms and sensor integration can be designed as a coherent system to improve speed, range, maneuverability, response time and operational robustness while also having underwater
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mitigation. Ensure mechanical designs are compatible with robotic arms, mobile platforms, sensors, and mechatronic systems, considering payload, reachability, safety, manufacturability, and maintainability
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mobile robots; Explore the use of RADAR and EMI technologies to support weeding, pruning, and selective harvesting operations; Integrate sensors and components compatible with cost, energy consumption
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C++, Python, and Linux systems to join the Future Mobility Solutions research program. The successful candidate will work on the development, testing, and fine-tuning of self-driving vehicles, ranging
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publication list Two educational or professional recommendations All documents must be in English or include an official English translation. Connect with ORISE...on the GO! Download the new ORISE GO mobile