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Rhys Howard

2 accepted papers

2025

Generating Causal Explanations of Vehicular Agent Behavioural Interactions with Learnt Reward Profiles

ICRA 2025

Transparency and explainability are important features that responsible autonomous vehicles should possess, particularly when interacting with humans, and causal reasoning offers a strong basis to provide these qualities. However, even if one assumes agents act to maximise some concept of reward, it

Cited by 1SourcecodeScholar
2021

Don’t Blindly Trust Your CNN: Towards Competency-Aware Object Detection by Evaluating Novelty in Open-Ended Environments

ICRA 2021poster

Real-world missions require robots to detect objects in complex and changing environments. While deep learning methods for object detection are able to achieve a high level of performance, they can be unreliable when operating in environments that deviate from training conditions. However, by applyi…

Cited by 4SourceScholar