Anders Lager is a Principal Engineer within software development at ABB Robotics. He earned a master's degree in Engineering Physics at Uppsala University in 1995. Since 1995 he has been working as a Software Developer and Project Manager at ABB Robotics in Västerås. Anders has general experience in Robot Control Systems and Mechatronics. He has specific experience in Motion Control, Machine Vision, Realistic 3D Simulations and different Robot Applications, e.g. Palletizing and Vision Guided High Speed Picking.
In this PhD project we target efficient and reliable collaborative robot applications deployed in dynamic, semi-structured environments. To achieve this, we leverage on the perception abilities that modern sensor and vision technologies offer, by providing a task-oriented reactive robot behavior. This allows us to act on perceived movements of other actors and objects with reactive robot actions that maintain not only (perceived and actual) safety for humans, but also productivity and process quality. Challenges include developing and providing methods for reactive control and re-planning of robot trajectories and application tasks to avoid collisions, process failures and unplanned stops. These methods will be adapted and verified in industrially relevant use cases. This project is carried out in collaboration among ABB Robotics and MDH.
IoT and Fog Analytics for Industrial Robot Applications (Sep 2020) Anders Lager, Alessandro Papadopoulos, Thomas Nolte The 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA2020)
Towards Reactive Robot Applications in Dynamic Environments (Sep 2019) Anders Lager, Giacomo Spampinato , Alessandro Papadopoulos, Thomas Nolte The 24th IEEE Conference on Emerging Technologies and Factory Automation (ETFA2019)