| 2026 | CHI | Sociotechnical Challenge Modeling: A Design Method for Responsible AI in Healthcare and Social Welfare. | Tyler Reinmund, Lars Kunze, Marina Denise Jirotka |
| 2025 | ICRA | Generating Causal Explanations of Vehicular Agent Behavioural Interactions with Learnt Reward Profiles. | Rhys Howard, Nick Hawes, Lars Kunze |
| 2025 | IROS | GraphSCENE: On-Demand Critical Scenario Generation for Autonomous Vehicles in Simulation. | Efimia Panagiotaki, Georgi Pramatarov, Lars Kunze, Daniele De Martini |
| 2025 | IROS | MinkOcc: Towards real-time label-efficient semantic occupancy prediction. | Samuel Sze, Daniele De Martini, Lars Kunze |
| 2024 | CHI | Transitioning Towards a Proactive Practice: A Longitudinal Field Study on the Implementation of a ML System in Adult Social Care. | Tyler Reinmund, Lars Kunze, Marina Denise Jirotka |
| 2024 | ICRA | Risk-aware Trajectory Prediction by Incorporating Spatio-temporal Traffic Interaction Analysis. | Divya Thuremella, Lewis Ince, Lars Kunze |
| 2024 | SEAMS | Aloft: Self-Adaptive Drone Controller Testbed. | Calum Imrie, Rhys Howard, Divya Thuremella, Nawshin Mannan Proma, Tejas Pandey, Paulina Lewinska, Ricardo Cannizzaro, Richard Hawkins, Colin Paterson, Lars Kunze, Victoria J. Hodge |
| 2023 | ICRA | Explainable Action Prediction through Self-Supervision on Scene Graphs. | Pawit Kochakarn, Daniele De Martini, Daniel Omeiza, Lars Kunze |
| 2023 | IROS | CAR-DESPOT: Causally-Informed Online POMDP Planning for Robots in Confounded Environments. | Ricardo Cannizzaro, Lars Kunze |
| 2021 | CHI | Towards Explainable and Trustworthy Autonomous Physical Systems. | Daniel Omeiza, Sule Anjomshoae, Konrad Kollnig, Oana-Maria Camburu, Kary Frmling, Lars Kunze |
| 2021 | ICRA | Don't Blindly Trust Your CNN: Towards Competency-Aware Object Detection by Evaluating Novelty in Open-Ended Environments. | Rhys Howard, Sam Barrett, Lars Kunze |
| 2020 | BMVC | Unsupervised and Semi-supervised Novelty Detection using Variational Autoencoders in Opportunistic Science Missions. | Lorenzo Sintini, Lars Kunze |
| 2017 | ICRA | Semantic web-mining and deep vision for lifelong object discovery. | Jay Young, Lars Kunze, Valerio Basile, Elena Cabrio, Nick Hawes, Barbara Caputo |
| 2016 | ECAI | Towards Lifelong Object Learning by Integrating Situated Robot Perception and Semantic Web Mining. | Jay Young, Valerio Basile, Lars Kunze, Elena Cabrio, Nick Hawes |
| 2015 | AAAI | A Comparison of Qualitative and Metric Spatial Relation Models for Scene Understanding. | Akshaya Thippur, Chris Burbridge, Lars Kunze, Marina Alberti, John Folkesson, Patric Jensfelt, Nick Hawes |
| 2014 | ICRA | Using Qualitative Spatial Relations for indirect object search. | Lars Kunze, Keerthi Kumar Doreswamy, Nick Hawes |
| 2014 | IROS | Combining top-down spatial reasoning and bottom-up object class recognition for scene understanding. | Lars Kunze, Chris Burbridge, Marina Alberti, Akshaya Thippur, John Folkesson, Patric Jensfelt, Nick Hawes |
| 2013 | IROS | Acquiring task models for imitation learning through games with a purpose. | Lars Kunze, Andrei Haidu, Michael Beetz |
| 2012 | ICRA | Searching objects in large-scale indoor environments: A decision-theoretic approach. | Lars Kunze, Michael Beetz, Manabu Saito, Haseru Azuma, Kei Okada, Masayuki Inaba |
| 2011 | ICRA | Towards semantic robot description languages. | Lars Kunze, Tobias Roehm, Michael Beetz |
| 2011 | IROS | Logic programming with simulation-based temporal projection for everyday robot object manipulation. | Lars Kunze, Mihai Emanuel Dolha, Michael Beetz |
| 2010 | KI | Putting People's Common Sense into Knowledge Bases of Household Robots. | Lars Kunze, Moritz Tenorth, Michael Beetz |