Research Activities in Robotics, Machine Learning and Industry 4.0 at Aalborg University, Denmark
Research Activities in Robotics, Machine Learning and Industry 4.0 at Aalborg University, Denmark [1,280]
2018 / 10 / 11 PM 4:30
Location: 301 - 1420
Speaker: Prof. Simon Bøgh, Dr. Dimitris Chrysostomou, Dr. Casper Schou, and Dr. Chen Li
Prof. Simon Bøgh is an Associate Professor at Aalborg University, Department of Materials and Production, where he is researching and teaching in the area of robotics and automation. He has more than 11 years of experience in industrial automation, collaborative robots, and mobile robotics; and been involved in several European and national-funded projects, incl. MADE, MADE Digital, TAPAS, GISA, STAMINA, CARMEN, and CARLoS. His current research and teaching interests include; Reinforcement Learning for robots and industrial processes, self-learning capabilities for robot systems and automatic systems, intuitive and safe human-robot collaboration, and how intelligent robot systems fit into an Industry 4.0 context.
Dr. Dimitris Chrysostomou is an Assistant Professor at Aalborg University, Department of Materials and Production. He has more than 10 years of experience in developing computer vision algorithms and systems in the context of robotics applications. His current research interests include intelligent & collaborative robots, human-robot interaction & safety, 3D reconstruction applications using multi-view algorithms & multi-camera systems.
Dr. Casper Schou is a Postdoc at Aalborg University, Department of Materials and Production. His current research and teaching interests include, usability in robotic solutions, skill-based programming for robots, intuitive & safe human-robot interaction for industrial applications, machine learning for robotics, and how robots are utilized in industry 4.0.
Dr. Chen Li is a Postdoc at Aalborg University, Department of Materials and Production. His research interests include software performance engineering, big data technology, software architecture, and formal methods.
During the last decade we have embarked on the journey of developing mobile manipulators, machine learning algorithms and developing a smart factory in Aalborg university, Denmark. In particular, we have placed special emphasis on mechatronic design of industrial robot platforms, planning and control of mobile robots, skill-based programming for industrial robots, machine learning for industrial processes and robotics, intuitive and safe human-robot interaction for industrial applications, vision technologies for intelligent robots and how robots are utilized in smart production environments and the industry 4.0 context. In this presentation, we will share some of the findings and results related to the R&D works of all the aforementioned aspects in Aalborg University and the Robotics and Automation Group.