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Related lectures (20)
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How to get robots to understand the world
Discusses enabling robots to understand the world like humans through semantic understanding and affordance learning.
Basics of Mobile Robotics: Localization
Covers the basics of mobile robotics focusing on localization, discussing sensors, uncertainty handling, GPS, and motion models.
Robust State Estimation: ROSE
Discusses the ROSE framework for robust state estimation and multi-modal sensor fusion.
Localization Techniques: Signals, Instruments, and Systems
Explores localization techniques, positioning systems, and odometry in environmental data analysis and robotics.
Sensor Orientation: Introduction to Sensor Fusion
Introduces the rigorous approach to sensor fusion for modern applications.
Kalman Filters: Estimation and Localization
Covers the theory and application of Kalman Filters for estimation and localization in robotics.
Socially-aware Artificial Intelligence for Last-mile Mobility
Explores socially-aware AI for last-mile mobility, focusing on understanding social etiquettes, anticipating behaviors, and forecasting crowd movements.
Untitled
Human Body Capture: Motion Reconstruction and Synthesis
Explores human body capture, motion reconstruction, and synthesis in 3D scenes, including markerless capture and generative motion models.
Visual Intelligence: Machines and Minds
Covers visual intelligence, feedback networks, taxonomy-based prediction, and recurrent neural networks for image classification.