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reliability through systematic validation methods. CAVECORE combines cutting-edge research in AI-enabled robotics with novel evaluation frameworks aligned with EU AI Act requirements. More information: https
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robotics, embodied AI, or autonomous systems is an advantage. Strong publication record or clear potential to publish in leading international venues. Ability to work independently, manage complex research
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-piloted Unmanned Aerial Vehicle (UAV), an adaptable robotic gripper, and an Artificial Intelligence (AI) powered decision-making framework. The AI will autonomously assess the retrievability of litter
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Social Robots, which involves several Swedish universities and is funded by WASP-HS (https://wasp-hs.org/ ). The Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS) is a
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. Familiarity with deployment constraints on cloud, edge, or embedded systems. Experience in robotics, embodied AI, or autonomous systems is an advantage. Strong publication record or clear potential to publish
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guidelines. For more information, see https://policy.umn.edu/hr/postdocappoint Responsibility • Lead innovative research on VLM/VLA methods and their applications in autonomous driving and ITS problem
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expected to conduct frontier research within the following areas: robotic intelligence, humanoid robotics, surgical robotics, bio-inspired robotics, wearable devices and robotics, soft robotics, autonomous
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academia, industry, and government that leverages the power of artificial intelligence (AI), robotics, materials sciences, and high-throughput chemistry to create self-driving laboratories (SDLs), also
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formal methods. The successful candidate will contribute to advancing data-driven modeling techniques that enable formal safety guarantees for complex dynamical systems such as autonomous vehicles
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; Real-World Validation: Deploy and benchmark your algorithms on our autonomous vehicle, mobile robots, and UAV testbeds. You will: publish in CVPR/ICCV/ECCV, NeurIPS/ICLR, and leading IEEE journals