Autonomous Snow Clearing with Vision Power: Meet ARTUS e.V.
The Kowa team recently visited the student group ARTUS e.V. in Stuttgart, a dynamic team of future engineers preparing to represent Germany at the Autonomous Snowplow Competition in the United States.
And they're not just building any robot: they're developing a fully autonomous, tracked snow-clearing robot equipped with custom hardware, real-time navigation, and advanced vision technology. Their mission: recognize, navigate, and clear snow in harsh winter conditions, without human control.
Founded in 2024, ARTUS e.V. was born from an initiative at the University of Stuttgart, where the Institute of Navigation reached out to students with a challenge: create a robotics group and compete internationally. Around 20 students from different departments came together - forming sub-teams for hardware, software, and vision systems.
The result? A powerful autonomous robot nicknamed "Lynx", featuring a tracked drivetrain, a custom-designed battery pack, and real-time autonomous control using an NVIDIA Jetson Nano as the onboard brain.
At the heart of the robot's ability to recognize snow is the Kowa CoaX Rocket Edition industrial camera. Vision is crucial for autonomous systems and in a snow-clearing robot, it's absolutely vital. The ARTUS team uses HSV color space analysis to distinguish snow-covered areas from the environment, even in difficult lighting and weather. "We chose the Kowa CoaX camera because we needed a reliable imaging system that works even in extreme conditions - cold, wet, snowy," team member Andreas Gall explained.
Using real-time image processing, the robot identifies snow zones in the competition field, navigates toward them, and begins clearing. During tests, the system successfully recognized snow piles and responded accordingly - a key factor in the U.S. competition where precision and autonomy are everything.
While the Autonomous Snowplow Competition is the team’s first international event, they’re already planning next steps. The robot will also participate in events like the Field Robot Event in Italy, and the group is expanding outreach efforts through science fairs and school visits.
For their autonomous snowplow Lynx, the ARTUS team chose the KC300GC3CX, a 3 MP color camera with an IP67-rated housing, offering full protection against water, dust, shock, and vibration, therefore it is ideal for the extreme winter conditions expected at the Snowplow Competition in the U.S. Complementing the camera is the patented LM8JCM-WP 2/3" C-mount lens, also waterproof and specifically engineered for rugged environments. Together, this vision setup ensures reliable performance no matter how harsh the weather gets.
With a combination of mechanical engineering, software intelligence, and vision power, the ARTUS team is building more than just a snowplow. They're building real-world experience, international collaboration, and a platform for future innovation.
Follow ARTUS e.V. on Instagram or LinkedIn to see what's next.
Watch the full video
And they're not just building any robot: they're developing a fully autonomous, tracked snow-clearing robot equipped with custom hardware, real-time navigation, and advanced vision technology. Their mission: recognize, navigate, and clear snow in harsh winter conditions, without human control.
From student idea to snowplow robot
Founded in 2024, ARTUS e.V. was born from an initiative at the University of Stuttgart, where the Institute of Navigation reached out to students with a challenge: create a robotics group and compete internationally. Around 20 students from different departments came together - forming sub-teams for hardware, software, and vision systems.
The result? A powerful autonomous robot nicknamed "Lynx", featuring a tracked drivetrain, a custom-designed battery pack, and real-time autonomous control using an NVIDIA Jetson Nano as the onboard brain.
Seeing snow in harsh conditions
At the heart of the robot's ability to recognize snow is the Kowa CoaX Rocket Edition industrial camera. Vision is crucial for autonomous systems and in a snow-clearing robot, it's absolutely vital. The ARTUS team uses HSV color space analysis to distinguish snow-covered areas from the environment, even in difficult lighting and weather. "We chose the Kowa CoaX camera because we needed a reliable imaging system that works even in extreme conditions - cold, wet, snowy," team member Andreas Gall explained.
Using real-time image processing, the robot identifies snow zones in the competition field, navigates toward them, and begins clearing. During tests, the system successfully recognized snow piles and responded accordingly - a key factor in the U.S. competition where precision and autonomy are everything.
Beyond the U.S.: a growing mission
While the Autonomous Snowplow Competition is the team’s first international event, they’re already planning next steps. The robot will also participate in events like the Field Robot Event in Italy, and the group is expanding outreach efforts through science fairs and school visits.
For their autonomous snowplow Lynx, the ARTUS team chose the KC300GC3CX, a 3 MP color camera with an IP67-rated housing, offering full protection against water, dust, shock, and vibration, therefore it is ideal for the extreme winter conditions expected at the Snowplow Competition in the U.S. Complementing the camera is the patented LM8JCM-WP 2/3" C-mount lens, also waterproof and specifically engineered for rugged environments. Together, this vision setup ensures reliable performance no matter how harsh the weather gets.
Looking Forward to the New Season
With a combination of mechanical engineering, software intelligence, and vision power, the ARTUS team is building more than just a snowplow. They're building real-world experience, international collaboration, and a platform for future innovation.
Follow ARTUS e.V. on Instagram or LinkedIn to see what's next.
Watch the full video
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