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Embedded and vision control for RoboMasters competition 2016 at University of Washington, Seattle

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RoboMasters_2016

University of Washington team competiting in RoboMasters 2016, the second year of this competition. Thanks DJI for organizing this event. Team division: Embedded and Control, Computer Vision

Computer Vision

Lead: Yufang Sun @mandary

branch: compvis

Computing Platform: NVIDIA Jetson TX1 board.

Mechanical Platform: 17mm on Soldier, Hero, and Base, and 42mm on Cannon.

Middleware in ROS

Lead: Pico Premvuti @pico737

branch: move to https://github.com/pico737/robomasters_ros

Computing Platform: NVIDIA Jetson TX1 and Manifold board.

Mechanical Platform: Soldier, Hero, Drone, and Base

Embedded and Control

Lead: Beck Pang @Beck-Sisyphus

branch: master, embedded

Computing Platform: the trapezoid board with STM32F405RGT6 core.

Mechanical Platform: Soldier, Hero, and Base

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Embedded and vision control for RoboMasters competition 2016 at University of Washington, Seattle

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