Dr Matthias Rolf
PhD (Dr.-Eng.), MSc, PGCHE
Reader in Computer Science
School of Engineering, Computing and Mathematics

Role
I am the First Year Tutor as well as the Postgraduate Research Tutor for Computing. I am teaching and researching in AI, machine learning, and data analytics.
Areas of expertise
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Robotics
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Machine learning
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Multi-objective reinforcement learning
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Software engineering
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Developmental robotics
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Smart visitor management
Teaching and supervision
Courses
- Artificial Intelligence (BSc (Hons), MSci)
- Artificial Intelligence (MSc, PGDip, PGCert)
- Computer Science (BSc (Hons))
Modules taught
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COMP4035 Computer Science Applications
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COMP6033 Applications and Ethics of Artificial Intelligence
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COMP7040 Autonomous Intelligent Systems
Supervision
I am the postgraduate research tutor for Computing. I welcome any enquiries from people considering doing a PhD or Master by Research in the area of computing.
I am interested in supervising BSc and MSc projects in the areas of reinforcement learning, ethical AI, robotics, autonomous systems, and smart visitor management.
Research
Smart Visitor Management
- Current collaboration with Blenheim Palace and Oxford Brookes Business School
- Oxford Brookes University expertise in AI helps Blenheim Palace
- The Brookes Blenheim collaboration
Multi-Objective Reinforcement Learning
- Al-Husaini Y, Rolf, M (2022). ‘Getting Priorities Right: Intrinsic Motivation with Multi-Objective Reinforcement Learning’
- Rolf M (2020). 'The Need for MORE: Need Systems as Non-Linear Multi-Objective Reinforcement Learning'
Ethical AI
- Rolf M, Crook NT, Steil JJ (2018). 'From social interaction to ethical AI: a developmental roadmap'
- Rolf M, Crook NT (2016). 'What if: robots create novel goals? Ethics based on social value systems'
Robotics
- Gama F, Shcherban M, Rolf M, Hoffmann M (2020). 'Active exploration for body model learning through self-touch on a humanoid robot with artificial skin'
- Baker T, Rolf M (2020). 'Tactile feedback in a tele-operation pick-and-place task improves perceived workload'
Research Students
Past Research Students
Rebecca Raper: PhD 2023. “Raising robots to be good. A practical interpretation, framework, and methodology for developing moral machines”
Mohamed Idries: PhD 2022. “Navigational algorithms evaluation and benchmarking”
Jamie Pierce: MSc by Research 2020. “Investigating how the morphology of a robot arm affects the learnability of aimed throwing”
Tom Baker: MSc by Research 2020. “An experimental investigation of sensory feedback methods within teleoperation robotic systems”
Rob Hillman: MSc by Research 2019. “Benchmarking virtual reality control methods”
Centres and institutes
- Centre for AI, Culture and Society (CAICS)
- Artificial Intelligence, Data Analysis and Systems (AIDAS) Institute
Groups
Publications
Further details
Press, publicity and reviews
- Ulrich Eberl, 2016: Smarte Maschinen: Wie Künstliche Intelligenz unser Leben verändert
- Technology Review, 2015: Das Kind im Roboter - Eingebaute Kindheit macht Maschinen schlauer
- New Scientist, 2014: Robot elephant trunk learns motor skills like a baby
- BI.Research, 2013: Robotern das Lernen beibringen
- IEEE Spectrum Video Friday, 2012: Curiosity Learns to Scoop, Robot Tentacle Learns to Grab, iCub Learns About Rolling