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learning, and electrical and mechanical engineering to work on autonomous operation of machines, advanced control, and new data-driven services. Our industrial partners are global market leaders in their
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This position aims to design a fundamentally new control
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underground mines and areas prone to rockfall. The work covers scene understanding with foundation models, navigation, and coordinated decisions within the robot team when communication is limited
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autonomous operation of machines, advanced control, and new data-driven services. Our industrial partners are global market leaders in their product categories, with installed fleets operating worldwide
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Future robots must perceive, predict, communicate, and decide reliably in complex, human–robot shared environments. The Mobile Robotics ( https://www.aalto.fi/en/department-of-electrical-engineering
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models for adaptive soft robots, real-time stiffness-aware control, resilient autonomy for self-healing robotic platforms, and uncertainty-aware predictive human–robot interaction. The work will be
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robotic systems. Embodied intelligence and mobility: robot design and control, humanoid robotics, whole-body control, and wearable robotic systems. Robotics in human environments: assistive, rehabilitation
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Robotics Artificial intelligence Demonstrated research experience in robot control and, more generally, complex systems Strong programming skills (e.g. C/C++, Python, ROS) Solid skills in numerical
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Research Infrastructure? No Offer Description The objective is to develop advanced algorithms for AI-enabled semantic and robot-control-aware communication with a particular focus on the management and
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-time stiffness-aware control, resilient autonomy for self-healing robotic platforms, and uncertainty-aware predictive human–robot interaction. The work will be connected to national and international