Explore the intersection of perception and control in autonomous systems through this 47-minute lecture from the 2019 ADSI Summer Workshop. Delve into Ben Recht's presentation on "Characterizing Uncertainty in Perception for Control," where he discusses key concepts such as Markov Decision Processes, model-free algorithms, pixel-based control, and Model Predictive Control. Gain insights into the challenges of actions from pixels, the role of SLAM in autonomous navigation, and the application of machine learning in control systems. Witness practical demonstrations and learn about mapping techniques used in robotics and autonomous vehicles.
2019 ADSI Summer Workshop- Algorithmic Foundations of Learning and Control
Paul G. Allen School via YouTube
Overview
Syllabus
Introduction
Why Go
The Problem
Actions from Pixels
Markov Decision Processes
Model Free Algorithms
PixelBased Control
Example
Francesco Pirelli
Slam
Model Predictive Control
Machine Learning
Demo
Mapping
Taught by
Paul G. Allen School
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