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5.0
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Not teaching in Spring 2026 | |||||
SYSE 6327 Waseem Abbas | |||||
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| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
SYSE 6327 Waseem Abbas | |||||
Waseem Abbas
[email protected]Grades: 225
Median GPA: B
Mean GPA: 2.836
5
Professor rating
3
Difficulty
1
Ratings given
100%
Would take again
Multi-Agent Robotic Systems
SYSE 6327
Erik Jonsson School of Engineering and Computer Science
This course will provide a detailed overview of the distributed decision architecture of the cooperative and distributed control for multi-robot and multi-agent systems. The goal is to understand, and design distributed controllers and strategies that rely on local interactions between network agents (robots) to achieve global objectives. We will demonstrate and analyze the control-theoretic properties of multi-robot systems and the influence of the underlying network topology on the dynamical behavior of these networked systems. These distributed control strategies and analysis will then be applied to solving various problems, including formation control, coverage control, connectivity and topology control, resilient and fault-tolerant control, and self-organization in multi-robot systems. 3 credit hours.
Prerequisite: SYSM 6307 or EECS 6331 or MECH 6300.
Offering Frequency: Each year
This professor/course combination hasn't been taught in the semesters you selected. To see more grade data, try changing your filters.
Grades: 0
Median GPA: None
Mean GPA: None
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Waseem Abbas
[email protected]Grades: 225
Median GPA: B
Mean GPA: 2.836
5
Professor rating
3
Difficulty
1
Ratings given
100%
Would take again
Multi-Agent Robotic Systems
SYSE 6327
Erik Jonsson School of Engineering and Computer Science
This course will provide a detailed overview of the distributed decision architecture of the cooperative and distributed control for multi-robot and multi-agent systems. The goal is to understand, and design distributed controllers and strategies that rely on local interactions between network agents (robots) to achieve global objectives. We will demonstrate and analyze the control-theoretic properties of multi-robot systems and the influence of the underlying network topology on the dynamical behavior of these networked systems. These distributed control strategies and analysis will then be applied to solving various problems, including formation control, coverage control, connectivity and topology control, resilient and fault-tolerant control, and self-organization in multi-robot systems. 3 credit hours.
Prerequisite: SYSM 6307 or EECS 6331 or MECH 6300.
Offering Frequency: Each year
This professor/course combination hasn't been taught in the semesters you selected. To see more grade data, try changing your filters.
Grades: 0
Median GPA: None
Mean GPA: None
Click a checkbox to add something to compare.