Don't Blindly Trust Your CNN: Towards Competency-Aware Object Detection by Evaluating Novelty in Open-Ended Environments. - Rhys Howard; Sam Barrett; Lars Kunze (ICRA, 2021)

Assessing and Explaining Collision Risk in Dynamic Environments for Autonomous Driving Safety. - Richa Nahata; Daniel Omeiza; Rhys Howard; Lars Kunze (ITSC, 2021)

Learning Transferable Push Manipulation Skills in Novel Contexts. - Rhys Howard; Claudio Zito (Frontiers Neurorobotics, 2021)

Tracking linear deformable objects using slicing method. - Alireza Rastegarpanah; Rhys Howard; Rustam Stolkin (Robotica, 2022)

Evaluating Temporal Observation-Based Causal Discovery Techniques Applied to Road Driver Behaviour. - Rhys Howard; Lars Kunze (CLeaR, 2023)

Generating and Explaining Corner Cases Using Learnt Probabilistic Lane Graphs. - Enrik Maci; Rhys Howard; Lars Kunze (ITSC, 2023)

Simulation-Based Counterfactual Causal Discovery on Real World Driver Behaviour. - Rhys Howard; Lars Kunze (IV, 2023)

Towards Probabilistic Causal Discovery, Inference & Explanations for Autonomous Drones in Mine Surveying Tasks. - Ricardo Cannizzaro; Rhys Howard; Paulina Lewinska; Lars Kunze (CoRR, 2023)

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 (SEAMS@ICSE, 2024)

Extending Structural Causal Models for Use in Autonomous Embodied Systems. - Rhys Howard; Lars Kunze (CoRR, 2024)

Extending Structural Causal Models for Autonomous Vehicles to Simplify Temporal System Construction & Enable Dynamic Interactions Between Agents. - Rhys Howard; Lars Kunze (CLeaR, 2025)

Generating Causal Explanations of Vehicular Agent Behavioural Interactions with Learnt Reward Profiles. - Rhys Howard; Nick Hawes; Lars Kunze (CoRR, 2025)