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2022 Team Members

The SubjuGator project team members are comprised from undergraduate students from the Department of Electrical and Computer Engineering, the Department of Mechanical and Aerospace Engineering, and the Department of Computer and Information Sciences Engineering at the University of Florida.

Name Position Major Email
Alex Kuzmicki Electrical Systems Leader Electrical Engineering akuzmicki@ufl.edu

BS

Electrical Engineering

Alex_Kuzmicki_Resume (pdf)

Electrical systems and PCB design

Alex Perez Software and Simulation Systems Leader Computer Engineering alex.perez@ufl.edu

BS

Computer Engineering

Alex_Perez_Resume (pdf)

Software design and implementation

Andrew Knee Software and Simulation Systems Co-Leader Computer Science andrew.knee@ufl.edu

BS

Computer Science

Andrew_Knee_Resume (pdf)

Computer vision and machine learning software

Jarrod Sanders Test Platform Development Leader Computer Science jarrod.sanders@ufl.edu

BS

Computer Engineering

Software design and implementation

Mihir Rao Mechanical Systems Leader Mechanical Engineering rao.mihir@ufl.edu

BS

Mechanical Engineering

Mihir_Rao_Resume (pdf)

Mechanical design, simulation, printing.

Andres Castrillon Mechanical Systems Co-Leader Mechanical Engineering andres.castrillon@ufl.edu

BS

Mechanical Engineering

Andres_Castrillon_Resume (pdf)

Mechanical design, simulation, printing.

Mitchell Robert Software and Simulation Member Computer Engineering mitchellrobert@ufl.edu

BS

Computer Engineering

Mitchell_Robert_Resume (pdf)

Documentation and world building design.

Aditya Ramesh Electrical Systems Electrical Engineering aditya.ramesh@outlook.com

BS

Computer Science

Aditya_Ramesh_Resume (pdf)

Documentation, PCB kill board redesign.

Adrian Fernandez Electrical Systems Electrical Engineering afernandez5@ufl.edu

BS

Electrical Engineering

Unavailable

Subjugator and Navigator testing and acoustic modem development.

Abdulquadri Abiru Electrical Systems Electrical Engineering abdulquadriabiru@ufl.edu

BS

Electrical Engineering

Abdulquadri_Abiru_Resume (pdf)

Electrical systems and PCB design

Marshall Rawson Systems Advisor Electrical, Computer marshallrawson@ufl.edu

BS (2021)

Electrical and Computer Engineering

Advising on software design and implementation, navigation and control, computer vision, sensors

Damir Fayzulaev Mechanical Systems Mechanical Engineering fayzulaevd@ufl.edu

BS

Mechanical Engineering

Unavailable

Mechanical design, simulation, theoretical calculation, fabrication, framework, 3-D Printing

 

Shannon Ridgeway Team Advisor Mechanical, Systems scer@ufl.edu
Shannon-Ridgeway

Mechanical and Aerospace Engineering

Advising on systems integration and mechanical design

Dr. Carl Crane III Team Advisor Mechanical ccrane@ufl.edu

Mechanical and Aerospace Engineering

Advising on mechanical systems

Dr. Eric M. Schwartz Director and Faculty Advisor Electrical, Mechanical, Systems ems@ufl.edu

Electrical and Computer Engineering

Team and trip organization, advising on all systems

Previous Members

  • 2022 Team Members
  • 2021 Team Members
  • 2020 Team Members
  • 2019 Team Members
  • 2018 Team Members
  • 2017 Team Members
  • 2016 Team Members
  • 2015 Team Members
  • 2014 Team Members
  • 2013 Team Members
  • 2012 Team Members
  • 2011 Team Members
  • 2010 Team Members
  • 2009 Team Members
  • 2008 Team Members
  • 2007 Team Members
  • 2006 Team Members
  • 2005 Team Members
  • 2004 Team Members
  • 2003 Team Members
  • 2002 Team Members
  • 2001 Team Members
  • 2000 Team Members
  • 1999 Team Members
  • 1998 Team Members
  • 1996 Team Members

About Us

The Machine Intelligence Laboratory (MIL) provides a synergistic environment dedicated to the study and development of intelligent, autonomous robots. The faculty and students associated with the laboratory conduct research in the theory and realization of machine intelligence covering topics such as machine learning, real-time computer vision, statistical modeling, robot kinematics, autonomous vehicles, teleoperation and human interfaces, robot and nonlinear control, computational intelligence, neural networks, and general robotics. Applications of MIL research include autonomous underwater vehicles (AUVs), autonomous water surface vehicles (ASVs), autonomous land vehicles, autonomous air vehicles (AAVs including quadcopters and micro air vehicles, MAVs) , swarm robots, humanoid robots, and autonomous household robots.

MIL’s SubjuGator is the three time champion autonomous submarine of the RoboSub AUVSI/ONR underwater competition (2005-2007), and placed in the top 3 in eleven of the 21 years of the competition (including second place in 2012, 2013 and 2014). MIL’s NaviGator AMS, is the defending champion in the Maritime RobotX Challenge (from our victory in our only entry in this biennial competition in 2016). In 2013, MIL participated for the first time in the RoboBoat AUVSI/ONR water surface vechicle competition with our PropaGator robot boat; we won! In 2014, we earned second place in the RoboBoat competition. We also won the static division of the 2011 ION Robot Lawnmower competition with MIL’s InstiGator robot lawnmower.

Calendar

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RoboSub 2022 begins in:

216
Days
17
Hours
1
Mins
0
Secs

Machine Intelligence Laboratory | University of Florida
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