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for drone swarms. The role will focus on multi-agent visual perception techniques. Group website: https://personal.ntu.edu.sg/wptay/ Key Responsibilities: Develop signal processing and machine learning
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and development of perception stacks for autonomous mobile systems in general in any field Machine learning/deep learning experience applied to perception and any experience with deep Learning
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sciences » Philology Chemistry » Physical chemistry Environmental science » Earth science Computer science » Computer systems Computer science » Computer systems Computer science » Computer systems Computer
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(iii) complex architectures with tightly coupled components hinder modular adaptation. To address these limitations, we research a physics-guided machine learning framework that integrates physical
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teammates to develop experimental methods, and helping develop novel hypotheses about the visual perception of shapes. The data collection work involves posting timeslots on SONA and running in-person
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? Join us to develop deep learning techniques for fusing acoustic sensor data with other vehicle sensors for robust multi-modal environment perception. Help shape the future of autonomous driving! Job
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capable of understanding, learning, and acting in complex, dynamic settings. The lab’s work lies at the intersection of computer vision, multimodal learning, and robotics, advancing next-generation embodied
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Inria, the French national research institute for the digital sciences | Bordeaux, Aquitaine | France | about 2 months ago
be designed by the modeller. Self-supervised learning is fundamental for developmental processes such as babbling. Schwartz et al. [11] propose that perception and action are co-structured in
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instructors provide assistance to students in their learning process by utilizing all appropriate college resources, materials, facilities, and educational technologies available to complement the teaching and
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systems capable of understanding, learning, and acting in complex, dynamic settings. The team works at the intersection of computer vision, multimodal learning, and robotics to create next-generation