Simon Bøgh

Associate Professor, PhD.

  • Fibigerstræde 16, 4-209

    9220 Aalborg Ø

    Denmark

20082024

Research activity per year

Personal profile

Research profile

Research

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

My current research is primarily studying Deep Reinforcement Learning for space robotics, industrial robotics and industrial processes, where the robot or agent, through its own trial-and-error, learns to optimize its 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

Keywords

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

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Collaborations from the last five years

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