UROP Research Mentor Project Submission Portal: Submission #928
Submission information
Submission Number: 928
Submission ID: 15266
Submission UUID: 43a260a9-5c86-4b1d-a4bd-8db1d97bf969
Submission URI: /urop-research-mentor-project-submission-portal
Submission Update: /urop-research-mentor-project-submission-portal?token=vTOzDj1hrwF7CiuA5YUKXNLGWNT9u64XARXwy-UXNag
Created: Mon, 08/19/2024 - 10:31 PM
Completed: Mon, 08/19/2024 - 10:50 PM
Changed: Mon, 08/26/2024 - 02:16 PM
Remote IP address: 96.255.35.246
Submitted by: Anonymous
Language: English
Is draft: No
Webform: UROP Project Proposal Portal
Submitted to: UROP Research Mentor Project Submission Portal
Research Mentor Information
Marcos Muller Vasconcelos
He/Him/His
Dr.
Faculty
FAMU-FSU College of Engineering
Electrical and Computer Engineering
Additional Research Mentor(s)
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Overall Project Details
Learning and Teaming for Coordination of Intelligent Networked Multi-Agent Systems
Robotics, Artificial Inteligence, Learning
Yes
2
Electrical Engineering
Computer Engineering
Mechanical Engineering
Computer Science
Mathematics
Statistics
Computer Engineering
Mechanical Engineering
Computer Science
Mathematics
Statistics
FAMU-FSU College of Engineering
Yes
In-person
5-10 hours a week
Flexible schedule (Combination of business and outside of business. TBD between student and research mentor.)
The project aims to develop a new control framework that enables autonomous agents to coordinate effectively in constrained environments. This involves creating a multi-level architecture where agents first establish a teaming structure to form a control network, and then refine their control policies through collective learning via wireless networks. The two primary objectives are:
1. Understanding the Impact of Control Network Structures: Investigate how different control network structures affect coordination among agents, particularly when they have bounded rationality. This will include the design of teaming algorithms tailored for tasks of varying complexity.
2. Characterizing Collective Learning under Constraints: Study how agents collectively learn coordination policies when faced with challenges like stochastic disturbances, signal fading, and power limitations inherent to wireless networks.
This work could lead to advancements in various domains, including drone swarms, micro-robotics, and other autonomous systems operating in complex, real-world environments. The holistic approach of integrating teaming, sensing, learning, and control is particularly promising for addressing the challenges posed by imperfect information and limited infrastructure.
1. Understanding the Impact of Control Network Structures: Investigate how different control network structures affect coordination among agents, particularly when they have bounded rationality. This will include the design of teaming algorithms tailored for tasks of varying complexity.
2. Characterizing Collective Learning under Constraints: Study how agents collectively learn coordination policies when faced with challenges like stochastic disturbances, signal fading, and power limitations inherent to wireless networks.
This work could lead to advancements in various domains, including drone swarms, micro-robotics, and other autonomous systems operating in complex, real-world environments. The holistic approach of integrating teaming, sensing, learning, and control is particularly promising for addressing the challenges posed by imperfect information and limited infrastructure.
Literature Review
Programming Robots
Data Collection
Mathematical Modelling
Programming Robots
Data Collection
Mathematical Modelling
Programming (Required)
Familiarity with mathematical notation and language (Required)
Problem-solving (Required)
Familiarity with mathematical notation and language (Required)
Problem-solving (Required)
Our mentoring philosophy centers on empowering students to gain confidence in their ideas and nurturing their creativity. At the MINDS lab, we embrace the motto that there is no limit to what the human mind can accomplish and that the world of ideas offers infinite low-hanging fruits. Currently, our lab supports a diverse group of researchers, including six undergraduate students, two PhD students, and one postdoc. We believe that a diverse team representing a broad spectrum of backgrounds and perspectives leads to more innovative work, thereby contributing to the broadening of participation of underrepresented groups in the scientific community and society as a whole.
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UROP Program Elements
Yes
Yes
Yes
Yes
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2024
https://cre.fsu.edu/urop-research-mentor-project-submission-portal?element_parents=elements/research_mentor_information/headshot_optional_&ajax_form=1&_wrapper_format=drupal_ajax&token=vTOzDj1hrwF7CiuA5YUKXNLGWNT9u64XARXwy-UXNag