rotating auger that collects the snow
into a centralized heating chamber.
The snow will then be liquefied until it
is a fluid, and will then be pumped
out to a drain or external location.
THUNDAR 3.0 from North Dakota
State University will build an
approximately 300 pound
autonomous skid steered snowplow
robot with actuated plow motors to
control pitch and elevation of the
plow. There will be a SICK LIDAR
sensor for comprehensive obstacle
detection at the front of the robot.
Positioning and localization will be
achieved by running a Kalman filter of
odometrically-processed data from the
LIDAR, wheel encoders, and IMU,
along with GPS coordinates. The
navigation is done through a path
planner subsystem of the autonomous
software. The software also has a
Game Evaluator for high-level decision
Samuel O’Blenes’ Plowerwheels
robot will be a differential drive
vehicle based on a Power Wheels™
Wild Thing chassis. The vehicle will
rely on ultra-wide band for localization
and LIDAR for obstacle avoidance.
University of Michigan at
Dearborn’s Yeti 8.0 will be an
autonomous vehicle that uses a LIDAR
and a camera for vision and obstacle
detection. Localization of the robot
will be achieved using LIDAR assisted
by a set of landmarks. The robot will
use preplanned waypoints to navigate
across the course.
Finally, University of Minnesota-Twin Cities will build a track driven
vehicle with a steel base and plow,
aluminum frame, plastic body panels,
and the ability to plow snow by
autonomously mapping and
navigating an environment. It will do
this by taking in data on its
surroundings with LIDAR and a
camera, and translating them into an
optimal path for plowing.
To learn more about the
competition, check out the event
.com, or visit Rice Park in Saint Paul,
MN on January 27-28, 2018 to see
the action yourself! SV
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Snowpit crew preparing field for Triple III event.
32 SERVO 01.2018