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2011 Team Members

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

Name Position Major Email
Devin Hughes Team Leader Mechanical dkhughes@ufl.edu
Devin-Hughes

PhD (2011)

Dynamical Systems and Controls

Fault Tolerant AUV Trajectory Control

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Electrical design, manufacturing lead, sensors and kalman filtering, trajectory generation.
Nic Fischer Team Leader Mechanical nic.fischer@ufl.edu

PhD (2013)

Dynamical Systems and Controls

Control of Input-Delayed and Saturated Nonlinear Systems

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Mechanical design, computer vision, controller design, manufacturing.
Patrick Walters Mechanical Systems Mechanical walters8@ufl.edu

BS (2011)

Mechanical Engineering

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Mechanical design, manufacturing, purchasing and logistics.
Paul Launier Electrical Systems Electrical plaunier@ufl.edu

BS (2011)

Computer Hardware Engineering

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PCB design and fabrication, electrical systems.
Gautam Dash Acoustic Systems Electrical gbdash@ufl.edu

MS (2011)

Electrical Engineering

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Acoustic navigation and signal processing
Matt Thompson Software Development Computer matthewbot@ufl.edu

BS (2015)

Computer Software Engineering

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DDS Integration, hardware communication, general software design.
Josh Weaver Software Development Electrical josh.n.weaver@ufl.edu

PhD (2014)

Artificial Intelligence and Controls

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Software architecture, mission planning, ROS integration.
Dr. Eric Schwartz Faculty Advisor ems@mil.ufl.edu

PhD (UF 1995)

Dept. of Electrical Engineering

Machine intelligence, autonomous mobile agents, microcomputers, control.
Dr. Carl Crane Faculty Consultant ccrane@ufl.edu

PhD (UF 1987)

Dept. of Mechanical Engineering

Robotics, autonomous machines, computer graphics, kinematics.
Dr. Antonio Arroyo Faculty Consultant arroyo@ufl.edu

PhD (UF 1981)

Dept. of Electrical and Computer Engineering

Machine intelligence, microprocessors, expert systems, human-machine interaction.
Shannon Ridgeway Consultant scer@ufl.edu

PhD

Dept. of Mechanical Engineering

Machine intelligence, dynamic systems and control, kinematics.

Previous 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.

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