Angsa Robotics
Jonas Dieker is a Computer Vision Engineer at Angsa Robotics, focusing on computer vision for outdoor litter-picking mobile robots. Previously, as a Data Scientist at Teraki, Jonas conducted deep learning research on LiDAR-image sensor fusion for object detection and mentored an intern in computer vision tasks. Jonas worked as a Visiting Scholar at Berkeley Artificial Intelligence Research, where research centered on learning generative models from sparse data related to climate change. Experience includes a role as a Research Assistant at the Technical University of Munich, where domain adaptation for LiDAR-based object tracking was explored, and a Data Analyst position at FoxInsights, which involved process automation and business intelligence dashboard optimization. Educational qualifications include a Master's degree in Mechanical Engineering from the University of Glasgow, a Master of Science in Robotics from the Technical University of Munich, and research stays focused on AI for sustainability and computer vision at prominent institutions.
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Angsa Robotics
Removal of small trash on grass and gravel is a painful manual process, as conventional cleaning machines cannot be used there. Angsa develops an autonomous robot, which detects even small trash items using artificial intelligence. The detected objects are then removed in a targeted manner, preserving the grass and insects. The autonomous robot enables festival organizers or parc administrations to save money and keep their areas clean, while increasing the cleaning speed and quality.