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KTH researchers developing new approaches to robotics

Camera views of the open source CloudGripper robots developed by the group. The open source project is planned to be launched publicly at IEEE IROS in Detroit and online at http://cloudgripper.org later this year.

Associate Professor Florian Pokorny leads two research projects at KTH that aim to advance data-driven robotics for applications in healthcare and other sectors. The SoftEnable Project focuses on developing robotic manipulation methods to assist healthcare workers, particularly in handling personal protective equipment. The research combines robotics, differential geometry, and machine learning to enable robots to interact with fragile items. Another project, "Intelligent Cloud Robotics for Real-Time Manipulation at Scale," explores cloud robotics with a large-scale deployment of over 100 robotic arms connected to the internet. The research investigates scaling properties of machine learning for robotic manipulation and addresses distributed machine learning and resource allocation challenges. The goal is to revolutionize work conditions and productivity through collaborative robotics.

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