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) Development of methods and algorithms to create and update digital maps in forest environment; 2) Development of SLAM algorithm and map representation that facilitates the use of different sensors and sensor
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such as earth with different sizes of rocks. 2) Development of advanced control algorithms integrated with force and loss models to prevent overloads and hazardous situations, ensuring operational
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, and intelligent decision-making across distributed manufacturing networks. Specifically, the work will include: Development of a digital twin for a manufacturing production system. Development
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(land, aerial, marine, or hybrid) Distributed decision-making, task allocation, and worksite optimization under uncertainty Energy-aware and resource-efficient collaboration strategies for fleets
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Sciences. The research work will focus on developing a scalable, robust positioning framework by integrating GNSS and emerging LEO-PNT signals with distributed AI and multimodal sensor data. The researcher