A behavioural transformer for effective collaboration between a robot and a non-stationary human. - Ruaridh Mon-Williams; Theodoros Stouraitis; Sethu Vijayakumar (RO-MAN, 2023)

Enabling robots to follow abstract instructions and complete complex dynamic tasks. - Ruaridh Mon-Williams; Gen Li 008; Ran Long; Wenqian Du 004; Chris Lucas 001 (CoRR, 2024)

Learning Precise Affordances from Egocentric Videos for Robotic Manipulation. - Gen Li 008; Nikolaos Tsagkas; Jifei Song; Ruaridh Mon-Williams; Sethu Vijayakumar; Kun Shao; Laura Sevilla-Lara (CoRR, 2024)

Embodied large language models enable robots to complete complex tasks in unpredictable environments. - Ruaridh Mon-Williams; Gen Li 008; Ran Long; Wenqian Du 001; Christopher G. Lucas (Nat. Mac. Intell., 2025)

Predicting Multi-Agent Specialization via Task Parallelizability. - Elizabeth Mieczkowski; Ruaridh Mon-Williams; Neil Bramley; Christopher G. Lucas; Natalia Vélez; Thomas L. Griffiths 001 (CoRR, 2025)

Partner Modelling Emerges in Recurrent Agents (But Only When It Matters). - Ruaridh Mon-Williams; Max Taylor-Davies; Elizabeth Mieczkowski; Natalia Vélez; Neil R. Bramley; Yanwei Wang; Thomas L. Griffiths 001; Christopher G. Lucas (CoRR, 2025)

HDDLGym: A Tool for Studying Multi-Agent Hierarchical Problems Defined in HDDL with OpenAI Gym. - Ngoc La; Ruaridh Mon-Williams; Julie A. Shah (CoRR, 2025)