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2023 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
Yovany Molina Electrical Systems Leader Electrical Engineering molinay@ufl.edu

BS

Electrical Engineering

Electrical systems and PCB design

Cameron Brown Software and Simulation Systems Leader Computer Science cbrown14@ufl.edu

BS

Computer Science

Software design and documentation

Luka Bjellos Mechanical Systems Leader Mechanical Engineering luka.bjellos@ufl.edu

BS

Mechanical Engineering

Mechanical design and leadership

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

BS

Computer Engineering

Software design and implementation

Blake Sanders Software and Simulation Systems Co-Leader Computer Engineering blake.sanders@ufl.edu

BS

Computer Science

System setup and implementation

Andres Pulido Mechanical Systems Advisor Mechanical Engineering andrespulido@ufl.edu

PhD

Mechanical Engineering

Mechanical design and simulation

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

BS

Mechanical Engineering

Andres_Castrillon_Resume (pdf)

Mechanical design, simulation, printing.

Sara Tammame Software and Simulation Co-Leader Computer Science sara.tammame@ufl.edu

BS

Computer Science

Testing support and software implementation

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

BS

Electrical Engineering

Computer vision developments.

Mehron Talebi Electrical Systems Electrical Engineering mehron.talebi@ufl.edu

BS

Electrical Engineering

Electrical systems and PCB design

Alex Perez Systems Advisor Electrical, Computer alex.perez@ufl.edu

BS (grad. 2023)

Electrical and Computer Engineering

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

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

  • 2023 Team 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

September 2023
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RoboSub 2022 begins in:

456
Days
7
Hours
23
Mins
2
Secs

Machine Intelligence Laboratory | University of Florida
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