UROP Project

Robotics, Artificial Inteligence, Learning

Research Mentor: Dr. Marcos Muller Vasconcelos, He/Him/His
Department, College, Affiliation: Electrical and Computer Engineering, FAMU-FSU College of Engineering
Contact Email: m.vasconcelos@fsu.edu
Research Assistant Supervisor (if different from mentor):
Research Assistant Supervisor Email:
Faculty Collaborators:
Faculty Collaborators Email:

Looking for Research Assistants: Yes
Number of Research Assistants: 2
Relevant Majors: Electrical Engineering
Computer Engineering
Mechanical Engineering
Computer Science
Mathematics
Statistics
Project Location: FAMU-FSU College of Engineering
Research Assistant Transportation Required: Yes
Remote or In-person: In-person
Approximate Weekly Hours: 5-10 hours a week,
Roundtable Times and Zoom Link: Not participating in the Roundtable

Project Description

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.

Research Tasks: Literature Review
Programming Robots
Data Collection
Mathematical Modelling

Skills that research assistant(s) may need: Programming (Required)
Familiarity with mathematical notation and language (Required)
Problem-solving (Required)