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locomotion. Key Responsibilities: The successful candidate will: develop locomotion and local motion control algorithms for humanoid robots, implement learning-based and/or model-based control methods (e.g
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feedback linearization, enabling control of nonlinear systems under uncertainty and partial model knowledge, Learning dynamics within control loops, integrating adaptive and optimization-based updates (e.g
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model for a motion controller. This strategy was also adopted in robotized medical surgery for instance. -- Challenges -- • Formulate control algorithms that take advantage of the interactive simulation
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progress, current wearable robotic systems face fundamental limitations. Model-based controllers ensure interpretability and safety but often struggle to accommodate human variability and complex real-world
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of different natures (e.g., physically-based vs. simplified or data-driven models) and different levels of precision, in order to support multi-fidelity approaches. Methods — The work will first focus on
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA DELL'ENERGIA ELETTRICA E DELL'INFORMAZIONE "GUGLIELMO MARCONI" | Italy | 7 days ago
automation systems, with semi-automated energy-consistent models and digital twins to generate reliable synthetic data. - Control and diagnostic techniques based on hybrid approaches integrating advanced
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. Over the past decade, Sorin Olaru and collaborators developed MPC-based congestion management and distributed control tools that account for storage and curtailment [1, 2, 3]. These works motivate
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compromised? Dynamic Resilience: Can we provide control-theoretic guarantees on system properties if the system adapts in real-time to evade attacks? What You Will Do Model Complex Architectures: Use formal
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Foundation-model-guided world models and predictive control for autonomous remote handling in extreme environments The Fusion Engineering Centre for Doctoral Training (CDT) PhD Research Project
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Toward Scalable and Sustainable AI Across Heterogeneous Resources Supervisor: Frédéric Giroire, CNRS Director of Research, 3IA chair holder. https://www-sop.inria.fr/members/Frederic.Giroire