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Global Navigation: Path Planning
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Related lectures (29)
Basics of Mobile Robotics: Uncertainties
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Explores the basics of mobile robotics, emphasizing uncertainties and the Bayes filter algorithm.
Algorithms: Problem Solving and Graph Algorithms
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Covers elementary graph algorithms, a midterm exam on algorithmic problem-solving, and distance measurement between strings.
Introduction: GNSS Signals and Modulations
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Covers the generation and processing of GNSS signals from satellites to Earth.
GNSS for Space Applications
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Covers the use of GNSS for space applications, including navigation, low-cost solutions, and real-time examples.
Perceptual Robotics: Integrating Vision and Action
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Covers the integration of visual perception and robotic actions in embodied AI.
Graphs: BFS
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Introduces elementary graph algorithms, focusing on Breadth-First Search and Depth-First Search.
Deliberative Agents: Planning and Strategies
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Covers planning with adversaries, heuristic search algorithms, and strategies for games with chance, emphasizing the significance of deliberative agents.
Active Map Building: Exploration
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Explores the basics of Simultaneous Localization and Mapping (SLAM), focusing on map creation techniques and prediction of measurements.
Distributed Intelligent Systems: General Concepts and Mobile Robotics
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Explores autonomy, sensor classification, and reactive architectures in mobile robotics using the perception-to-action loop.
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