Biography
Lars Kunze is a Departmental Lecturer in Robotics in the Oxford Robotics Institute (ORI) and the Department of Engineering Science at the University of Oxford, and a Stipendiary Lecturer in Computer Science at Keble College. He is a Programme Fellow of the Assuring Autonomy International Programme (AAIP) and a Co-Editor of the German Journal of Artificial Intelligence (KI Journal, Springer). At ORI, Lars leads the Cognitive Robotics Group (CRG).
Lars studied Cognitive Science (BSc, 2006) and Computer Science (MSc, 2008) at the University of Osnabrück, Germany, and partly at the University of Edinburgh, UK.
He received his PhD (Dr. rer. nat.) from the Technical University of Munich, Germany, in 2014.
In May 2013, Lars was appointed as a Research Fellow in the Intelligent Robotics Lab at the School of Computer Science at Birmingham University.
In March 2017, he joined the Oxford Robotics Institute at Oxford University.
Research Interests
Lars' areas of expertise lie in the fields of robotics and artificial intelligence (AI). His goal is to enable robots to understand their surroundings, to act autonomously, and to explain their own behaviour in meaningful human terms. To this end, his research concerns the design and development of fundamental AI techniques for autonomous robot systems. He focusses on the combination of knowledge representation, reasoning, machine learning, and robot perception; motivated by applications in complex, real-world environments.
Research Projects
- Assuring Autonomy International Programme (AAIP), Sense-Assess-eXplain (SAX) Building trust in autonomous vehicles in challenging real-world driving scenarios. (https://ori.ox.ac.uk/projects/sense-assess-explain-sax/)
- EU H2020, Autonomous Decision Making in Very Long Traverses (ADE) Realising planetary rover systems with autonomous decision making capabilities in the context of opportunistic science missions. (https://www.h2020-ade.eu)
Research Group
Research Activity
- Programme Fellow of the Assuring Autonomy International Programme (AAIP)
- Editor of the German Journal of Artificial Intelligence (KI Journal, Springer)
DPhil Supervision Interests
I am looking for DPhil students to join the Cognitive Robotics Group (CRG) at the Oxford Robotics Institute. I am open to supervising DPhil students with an interest in perception, inference, learning, and interaction.
Recent Publications
CC-SGG: Corner Case Scenario Generation using Learned Scene Graphs
Drayson G, Panagiotaki E, Omeiza D & Kunze L (2023)
BibTeX
@misc{ccsggcornercase-2023/9,
title={CC-SGG: Corner Case Scenario Generation using Learned Scene Graphs},
author={Drayson G, Panagiotaki E, Omeiza D & Kunze L},
year = "2023"
}
Semantic Interpretation and Validation of Graph Attention-based Explanations for GNN Models
Panagiotaki E, Martini DD & Kunze L (2023)
BibTeX
@misc{semanticinterpr-2023/8,
title={Semantic Interpretation and Validation of Graph Attention-based
Explanations for GNN Models},
author={Panagiotaki E, Martini DD & Kunze L},
year = "2023"
}
Textual explanations for automated commentary driving
Kühn MA, Omeiza D & Kunze L (2023), 2023 IEEE Intelligent Vehicles Symposium (IV)
Simulation-Based Counterfactual Causal Discovery on Real World Driver Behaviour
Howard R & Kunze L (2023), IEEE Intelligent Vehicles Symposium, Proceedings, 2023-June
Simulation-Based Counterfactual Causal Discovery on Real World Driver Behaviour
Howard R & Kunze L (2023), 2023 IEEE INTELLIGENT VEHICLES SYMPOSIUM, IV
Prediction of Social Dynamic Agents and Long-Tailed Learning Challenges: A Survey
Thuremella D & Kunze L (2023), JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, 77, 1697-1772
BibTeX
@article{predictionofsoc-2023/,
title={Prediction of Social Dynamic Agents and Long-Tailed Learning Challenges: A Survey},
author={Thuremella D & Kunze L},
journal={JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH},
volume={77},
pages={1697-1772},
year = "2023"
}
Responsible innovation; responsible data. A case study in autonomous driving
Ten Holter C, Kunze L, Pattinson JA, Salvini P & Jirotka M (2022), Journal of Responsible Technology, 11
From spoken thoughts to automated driving commentary: Predicting and explaining intelligent vehicles' actions
Omeiza D, Anjomshoae S, Webb H, Jirotka M & Kunze L (2022), 2022 IEEE Intelligent Vehicles Symposium (IV), 1040-1047
BibTeX
@inproceedings{fromspokenthoug-2022/7,
title={From spoken thoughts to automated driving commentary: Predicting and explaining intelligent vehicles' actions},
author={Omeiza D, Anjomshoae S, Webb H, Jirotka M & Kunze L},
booktitle={33rd IEEE Intelligent Vehicles Symposium},
pages={1040-1047},
year = "2022"
}
Responsible Innovation; responsible data. A case study in autonomous driving
Ten Holter C, Kunze L, Pattinson J-A, Salvini P & Jirotka M (2022), Journal of Responsible Technology, 11
BibTeX
@article{responsibleinno-2022/7,
title={Responsible Innovation; responsible data. A case study in autonomous driving},
author={Ten Holter C, Kunze L, Pattinson J-A, Salvini P & Jirotka M},
journal={Journal of Responsible Technology},
volume={11},
number={100038},
publisher={Elsevier},
year = "2022"
}