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Research

Our current research is primarily studying Deep Reinforcement Learning for industrial robotics and industrial processes, where the robot or agent, through its own trial and error, learns to optimize its own behaviour or process. The learning process can take its outset in the agent exploring the environment, but furthermore from human expert demonstrations (apprenticeship learning, inverse reinforcement learning).

Many interesting areas are connected to our work with self-learning agents, especially for industrial applications, e.g.: Human-Robot Cooperation/Collaboration, Human-Robot Interfaces, Industrial Application of Mobile Manipulators, Robot Skills for Intuitive and Safe Robot Programming, and Identification & Application of Robot Skills for Industrial Applications.

Robot learning trajectories from human demonstrations

Selected topics of interest

• Artificial Intelligence (AI) and Machine Learning (ML) applied in industry
• Deep Reinforcement Learning for Robotic Systems and Industrial Processes
• Collaborative Robots and Human-Robot Interaction
• Industrial Mobile Manipulation
• Internet of Things (IoT) & Industrial Internet of Things (IIoT)

Publications

Publication list (opens in new window/tab)

Employment

2017 – present

Department Council Board Member, Department of Materials and Production, Aalborg University, Denmark.

2016 – present

Associate Professor, Department of Materials and Production, Aalborg University, Denmark.

2014 – 2016

Assistant Professor at the Department of Mechanical and Manufacturing Engineering, Aalborg University, Aalborg, Denmark.

2012 – 2014

Postdoctoral Researcher at the Department of Mechanical and Manufacturing Engineering, Aalborg University, Aalborg, Denmark.

Education

06/2012

Ph.D. in Robotics. Aalborg University, Department of Mechanical and Manufacturing Engineering, Aalborg, Denmark
Ph.D. thesis title: Autonomous Industrial Mobile Manipulation (AIMM) – Maturation, Exploitation, and Implementation – Identifying Skills For AIMM Robots

06/2008

Master of Science in Engineering – Manufacturing Technology. Aalborg University, Department of Mechanical and Manufacturing Engineering, Aalborg, Denmark.
Main fields of study: Robotics, Manufacturing, Production Processes, Product Development, System Design, Management
Master thesis title: Future Manufacturing Assistant – The Mobile Robot “Little Helper”

06/2006

Bachelor of Science in Engineering – Mechanical and Manufacturing Technology. Aalborg University, Department of Mechanical and Manufacturing Engineering, Aalborg, Denmark.