Topics:
Theme:
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Taking Multi-Sensor Fusion to the Next Level: From Theory to Applications
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Theory:
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Probability theory, Bayesian inference, nonlinear estimation, Dempster-Shafer, fuzzy sets, logic, machine learning, neural networks, distributed architectures
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Sensors:
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RGB cameras, depth cameras, radar and sonar devices, laser scanner, infrared sensors, IMU, gyroscopes
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Algorithms for:
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Tracking and localization, SLAM, perception, AI in robotics, cognitive systems, sensor registration, big data, sensor management, distributed sensor systems, recognition, visual servoing, learning by demonstration
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Applications:
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Sensor networks, multi-robot systems, distributed and cloud robotics, bio-inspired systems, service robots, automation, biomedical applications, autonomous vehicles (land, sea, air), manipulation planning and control, multifinger hands, micro/nano systems, surveillance, multimodal interface and human robot interaction, navigation, Internet-of-Things, smart cities, cyber-physical systems, Industry 4.0, search/rescue/audition, field robotics, swarm robotics, force and tactile sensing, surgical robotics, humanoids, soft-bodied robots
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