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May 23, 2024
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ROBAI 410 - Autonomous Systems
5.0 Credits
This course focuses on key components of an autonomous robotic system and explores robot interaction with the environment, human-robot interactions, and multi-robot cooperation. Students learn to integrate data from multiple sensor inputs to support robot navigation, and develop models to control robot behavior, decision making, and autonomy.
Prerequisite ROBAI 370 and ROBAI 380.
Course-level Learning Objectives (CLOs)
Upon successful completion of this course, students will be able to:
- Categorize and integrate data from multiple sensors to guide robot navigation and interactions.
- Develop, build, and evaluate control models to achieve expected robot behavior.
- Explain the challenges of robot interactions with the environment and propose effective strategies.
- Explain the challenges of human-robot interactions and propose effective strategies.
- Explain the challenges of multi-robot interactions and cooperation, and propose effective strategies.
- Create algorithms to control robot behavior, decision-making, and autonomy.
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