RYAN SKEELE
Website: skeel3r.github.io
rycoske@gmail.com
541-556-3025
Education
Oregon State University 2009-2016
Masters of Science in Robotics
GPA: 3.6/4.0
Thesis: Planning Under Uncertainty for Unmanned Aerial Vehicles
Bachelors in Mechanical Engineering, International Studies, Minor in Spanish
GPA: 3.5/4.0
Thesis: Autonomous Quadcopter Research, Systems, and Global Impacts
Experience
Co-Founder of Spectrum Geomatix
Chief Technical Officer 2016-2017
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Optimize business analytics through utilization of advanced remote sensing technology
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Product design, modeling, and development of a handheld laser scanning device
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GUI design and programming
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Point cloud segmentation and tree classification
Skills used: Product design, project management, programming, networking, financial management
Near Earth Autonomy
UAV Integrations Intern Summer 2015
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Primary engineer on indoor autonomous mapping project
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Industry experience pushing a project towards deadlines and deliverables
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Programmed realistic simulator using ROS, Gazebo, and custom packages for extensive virtual tests
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Remote control operator for flight testing
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ITAR sensitive workspace
Skills used: System design, integration, development and research of autonomous quadcopter platform
Robotic Decision Making Laboratory
Graduate Research 2014-2016
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Developed new probabilistic path planning algorithm based on cost distributions
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Four refereed conference publications and 3 refereed workshop papers (see my website)
Undergraduate Research 2014
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Publication and presentation of research in Multi-UAV Exploration with Limited Communication
and Battery at the IEEE International Conference on Robotics and Automation 2015
Skills used: Technical writing, professional presenting, experiment design, data analysis, self direction
Dynamic Robotics Laboratory
Undergraduate Research 2012-2013
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Built and maintained human size bipedal robots for use by researchers from three universities
to implement different walking gait controllers
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Contributions include construction of three robots, customizing test equipment to characterize
fiberglass springs, and designing foot force sensors
Skills used: Large assembly solid modeling, FEA, testing, root cause failure analysis, component design
Skills
Software: Linux, Matlab, C++, Labview, ROS, Python, Arduino, C
Hardware: Solidworks, Autodesk Fusion 360, Manual Machining, CNC Machining, Part Drawings
Electrical: Multimeter,
O
scilloscope, Schematics, Dip/SMD Soldering, Wire-Harnessing