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Field
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. Key Responsibilities: Develop and implement perception and control algorithms for robotic arms and embodied AI systems. Assist in integrating multimodal AI models (vision, language, force sensors) with
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: Physical AI: Designing AI systems that sense, reason and act within real-world environments. Areas of interest include machine perception and multimodal sensing, embodied and egocentric AI, world models and
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modeling and AI. This position will include: Developing new Generative AI algorithms for developing intelligent agents in areas such as planning, exploration, perception, physical reasoning, and memory
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studies the neural basis of visual perception and cognition, using an interdisciplinary approach. Research methods include human behavioral experiments, monkey electrophysiology, and computational modeling
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, Computer Engineering, or related disciplines. Key Responsibilities Systematically define user and system requirements, develop system architecture, and conduct feasibility assessments. Design perception and
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Responsibilities Systematically define user and system requirements, develop system architecture, and conduct feasibility assessments. Design perception and sensor fusion frameworks using cameras, LiDAR, depth
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decisions. Perform and model all duties of subordinates. Other duties as assigned The physical requirements described here are representative of those that must be met by an employee to successfully perform
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on the development of first-time-right design tools for multi-optics imaging systems, to be implemented in harsh condition vision applications. In modern perception, navigation and quality inspection applications
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Factory is a new, state-of-the-art facility for image analysis and model construction for medical digital twins. It supports the clinical research and educational mission of the Center for Computational
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Associate will support research on robot navigation, focusing on the integration of visual perception, localization, planning and navigation. The role will also investigate learning-based approaches