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Physics-Assisted Multi-Robot Exploration

Offered By: IEEE Signal Processing Society via YouTube

Tags

Signal Processing Courses Machine Learning Courses Distributed Systems Courses Information Theory Courses Bayesian Inference Courses Sensor Networks Courses Autonomous Systems Courses

Course Description

Overview

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Explore the cutting-edge field of physics-assisted multi-robot exploration in this comprehensive webinar presented by Dimitry Shutin for the IEEE Signal Processing Society. Delve into the intricate world of autonomous systems and learn how physical principles are applied to enhance the capabilities of multi-robot teams. Discover advanced techniques for coordinating multiple robots in complex environments, leveraging physics-based models to improve navigation, mapping, and decision-making processes. Gain insights into the latest research and practical applications of this technology, including potential uses in search and rescue operations, environmental monitoring, and space exploration. Throughout the 1-hour and 21-minute session, engage with in-depth discussions on sensor fusion, distributed algorithms, and the challenges of implementing physics-assisted approaches in real-world scenarios.

Syllabus

ASI Webinars | Dimitry Shutin | Physics-assisted multi-robot exploration


Taught by

IEEE Signal Processing Society

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