Unmanned X Systems

Unmanned X Systems – Team Kanaloa

The Unmanned X Systems (UXS) research group, or Team Kanaloa, is a Vertically Integrated Project (VIP) aimed towards the advancement of Unmanned Systems technologies.  The need for robust software and hardware robot platform(s), often equipped with expensive sensors and instrumentation, creates a high barrier of entry to the field of robotics and unmanned systems.  Following the VIP academic framework, the UXS development group aims to engineer robust unmanned aerial, surface, and underwater platforms for practical applications.  Our research interests are in the areas of sensor fusion-based localization, vison-based scanning and 3D scene reconstruction, simultaneous localization and mapping (SLAM), obstacle avoidance, manipulation, swarm robotics, and autonomous multi-objective decision making algorithms.

The Unmanned X Systems (UXS) research group is split into five research subsystems:

  • Mechanical design
  • Hardware selection and interoperability
  • Sensor fusion and signal processing
  • Navigation and control
  • Mission planning and autonomy

Current UXS Projects:

Past UXS Projects:

ARL Malia 2018 Demo – March 11, 2018

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WAM-V (Wave Adaptive Modular Vessel) and ROV Operation

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Teamwork!

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November 11, 2016

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November 4, 2016

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October 21, 2016

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September 30, 2016

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July 25, 2016

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Full-Loaded WAM-V Articulation

2D LiDAR SLAM (Simultaneous Localization and Mapping)

RGB Color Recognition

Interested Students

Team Kanaloa is looking for dedicated students of all backgrounds and skill levels!  No prior knowledge or experience is required; however, dedication, a positive attitude, and a willingness to learn is mandatory.

If you are interested, please fully read our Kanaloa Team Member Expectations document shown below.  Then fill out our new member application form here.  After filling out this form, we will contact you to schedule a recruitment meeting.

If you have any questions, please contact us.

Kanaloa-Team-Member-Expectations

Thank you to all of our amazing sponsors!

ARL

MTS

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IEEE

MATLAB

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