Simon Bøgh

Associate Professor, PhD.

  • Pontoppidanstræde 103, 4-103

    9220 Aalborg Ø



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Personal profile

Research profile


  • Robotics
  • Artificial Intelligence
  • Machine Learning
  • Deep Reinforcement Learning

My 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).

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 12 - Responsible Consumption and Production


  • Industry and Production
  • Artificial Intelligence (AI)
  • Reinforcement Learning
  • Machine Learning
  • Self-Learning Systems
  • Collaborative Robots
  • Industry 4.0
  • Internet of Things
  • Predictive Analytics
  • Computer Science
  • Artificial Intelligence
  • Machine Learning
  • Robotics
  • Deep Learning
  • Reinforcement Learning
  • Predictive Analytics


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  • SCAP2020 Best Presentation Award

    Sarivan, Ioan-Matei (Recipient), Madsen, Ole (Recipient) & Bøgh, Simon (Recipient), Nov 2020

    Prize: Conference prizes