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Overview

Mobile Robots are increasingly working in close interaction with human beings in environments as diverse as homes, hospitals, public spaces, public transportation systems and disaster areas. The situation is similar when it comes to Autonomous Vehicles, which are equipped with robot-like capabilities (sensing, decision and control).

Such robots must balance constraints such as safety, efficiency and autonomy, while addressing the novel problems of acceptability and human-robot interaction. Given the high stakes involved, developing these technologies is clearly a major challenge for both the industry and the human society.

Syllabus

Week 1
OBJECTIVES, CHALLENGES, STATE OF THE ART

Week 2
BAYES & KALMAN FILTERS

Week 3
EXTENDED KALMAN FILTERS

Week 4
PERCEPTION & SITUATION AWARENESS & DECISION MAKING

Week 5
BEHAVIOR MODELING AND LEARNING

Taught by

Dizan Vasquez, Agostino Martinelli and Christian Laugier

Class Central Charts

Review for France Université Numerique's Mobile Robots and Autonomous Vehicles
4.0 Based on 1 reviews

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Anonymous
4.0 3 years ago
Anonymous completed this course.
This is a good introductory-level course. Basic concepts are covered well, and there is some hands-on Python coding in the final module.
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