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, and each robot must interpret its surroundings well enough to judge risk on its own. Vision and language foundation models can support this kind of interpretation, but they rarely model the physics of
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DECIDE research team. DECIDE conducts cutting-edge research on Distributed and Embodied Computing in Dynamic Environments. The team works to realize a vision where humans and robots cooperate
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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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engineering schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . Position Overview We are seeking a highly motivated Research Fellow to join our research team
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, and decide reliably in complex, human–robot shared environments. The Mobile Robotics ( https://www.aalto.fi/en/department-of-electrical-engineering-and-automation/mobile-robotics ) and Intelligent
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, the School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee Key Responsibilities: The Research
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of next-generation soft robotic systems that can adapt to complex environments and uncertain interaction conditions. The vision of RAI is aiming in closing the gap from theory to real life, while the
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, School of Information, School of Kinesiology, College of Architecture & Urban Planning, and School of Art & Design to work on robot learning and foundational models, perception and computer vision
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improving the ability of robots to interact with the surrounding environment and humans during the execution of specific tasks. Project description The vision of RAI is aiming in closing the gap from
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Max Planck ETH Center for Learning Systems | New Germany, KwaZulu-Natal | South Africa | 27 days ago
for Science, AI Safety, Bio-inspired Robotics, Biomechanics, Causal Inference, Computational Biology, Computer Graphics, Computer Vision, Control Systems, Deep Learning, Digital Humans, Earth