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constraints. The project will explore orchestrating reasoning models, vision-language models, world models and efficient control policies for reliable robot behaviour. A key focus is deciding when to deliberate
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, agronomists, technicians, and researchers to command robots, query data, monitor operations, and receive explanations through natural language or voice-based interaction. The research will focus on translating
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. Empa is a research institution of the ETH Domain. Research project on Design, synthesis, and multiscale characterization of materials for soft robotics applications (SAM3/ESR12 – soft robotics
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Engineering, Control Engineering, Mechatronics, Robotics, or a related discipline with a strong focus on dynamic systems. Strong background in state-space modelling, estimation theory, and control systems. Good
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
the robot shape must be controlled at every moment such as surgery through natural orifices, or to release them to create additional dynamic forces and compensate for others such as needle penetration
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 2 months ago
the Auctus team at the Inria center of the University of Bordeaux (Talence). Thisthesis falls within the scope of the team'sscientific axis on the design and control of robotic systems. The project will
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essential, preferably in (1) Robotics for Nano manufacturing; or (2) Intelligent Instrumentation for Biomedical Applications. Those with the capability to initiate collaborative projects with researchers in
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embedded into cyber‑physical systems (CPS) such as autonomous vehicles, smart grids, industrial control systems, robotics, healthcare devices, and intelligent transport infrastructure. While significant
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characterization of materials for soft robotics applications (SAM3/ESR12 – soft robotics) This project takes place within the Marie Curie Doctoral Network on Soft Active Matter Microrobots for Medicine (SAM3
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of learning-based controllers in areas such as robotics, motion control, and energy systems.