Vertical GaN-on-GaN p-n Diodes with 10-A Forward Current and 1.6 kV Breakdown Voltage. - Jingshan Wang; Lina Cao; Jinqiao Xie; Edward Beam; Chris Youtsey; Robert McCarthy; Louis Guido; Patrick Fay (DRC, 2018)

Solving the Real Robot Challenge Using Deep Reinforcement Learning. - Robert McCarthy; Francsico Roldan Sanchez; Qiang Wang; David Cordova Bulens; Kevin McGuinness; Noel E. O'Connor; Stephen J. Redmond (AICS, 2021)

Real Robot Challenge: A Robotics Competition in the Cloud. - Stefan Bauer; Manuel Wüthrich; Felix Widmaier; Annika Buchholz; Sebastian Stark; Anirudh Goyal; Thomas Steinbrenner; Joel Akpo; Shruti Joshi; Vincent Berenz; Vaibhav Agrawal; Niklas Funk; et al. (NeurIPS (Competition and Demos), 2021)

Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World. - Nico Gürtler; Felix Widmaier; Cansu Sancaktar; Sebastian Blaes; Pavel Kolev; Stefan Bauer; Manuel Wüthrich; Markus Wulfmeier; Martin A. Riedmiller; Arthur Allshire; Qiang Wang; Robert McCarthy; et al. (NeurIPS (Competition and Demos), 2021)

Real Robot Challenge using Deep Reinforcement Learning. - Robert McCarthy; Francisco Roldan Sanchez; Kevin McGuinness; Noel E. O'Connor; Stephen J. Redmond (CoRR, 2021)

Imaginary Hindsight Experience Replay: Curious Model-based Learning for Sparse Reward Tasks. - Robert McCarthy; Stephen J. Redmond (CoRR, 2021)

Improving Behavioural Cloning with Positive Unlabeled Learning. - Qiang Wang; Robert McCarthy; David Cordova Bulens; Kevin McGuinness; Noel E. O'Connor; Francisco Roldan Sanchez; Nico Gürtler; Felix Widmaier; Stephen J. Redmond (CoRL, 2023)

Behaviour Discriminator: A Simple Data Filtering Method to Improve Offline Policy Learning. - Qiang Wang; Robert McCarthy; David Cordova Bulens; Kevin McGuinness; Noel E. O'Connor; Francisco Roldan Sanchez; Stephen J. Redmond (CoRR, 2023)

Winning Solution of Real Robot Challenge III. - Qiang Wang; Robert McCarthy; David Cordova Bulens; Stephen J. Redmond (CoRR, 2023)

Value Functions are Control Barrier Functions: Verification of Safe Policies using Control Theory. - Daniel Chee Hian Tan; Fernando Acero; Robert McCarthy; Dimitrios Kanoulas; Zhibin Li 001 (CoRR, 2023)

Dexterous robotic manipulation using deep reinforcement learning and knowledge transfer for complex sparse reward-based tasks. - Qiang Wang; Francisco Roldan Sanchez; Robert McCarthy; David Cordova Bulens; Kevin McGuinness; Noel E. O'Connor; Manuel Wüthrich; Felix Widmaier; Stefan Bauer; Stephen J. Redmond (Expert Syst. J. Knowl. Eng., 2023)

Safe Value Functions: Learned Critics as Hard Safety Constraints. - Daniel Chee Hian Tan; Robert McCarthy; Fernando Acero; Andromachi Maria Delfaki; Zhibin Li 001; Dimitrios Kanoulas (CASE, 2024)

Hidden in Plain Text: Emergence & Mitigation of Steganographic Collusion in LLMs. - Yohan Mathew; Ollie Matthews; Robert McCarthy; Joan Velja; Christian Schröder de Witt; Dylan Cope; Nandi Schoots (CoRR, 2024)

Identifying Expert Behavior in Offline Training Datasets Improves Behavioral Cloning of Robotic Manipulation Policies. - Qiang Wang; Robert McCarthy; David Cordova Bulens; Francisco Roldan Sanchez; Kevin McGuinness; Noel E. O'Connor; Stephen J. Redmond (IEEE Robotics Autom. Lett., 2024)

Towards Generalist Robot Learning from Internet Video: A Survey. - Robert McCarthy; Daniel Chee Hian Tan; Dominik Schmidt; Fernando Acero; Nathan Herr; Yilun Du; Thomas George Thuruthel; Zhibin Li 001 (J. Artif. Intell. Res., 2025)

Large language models can learn and generalize steganographic chain-of-thought under process supervision. - Joey Skaf; Luis Ibañez-Lissen; Robert McCarthy; Connor Watts; Vasil Georgiv; Hannes Whittingham; Lorena González-Manzano; David Lindner; Cameron Tice; Edward James Young; Puria Radmard (CoRR, 2025)

Early Signs of Steganographic Capabilities in Frontier LLMs. - Artur Zolkowski; Kei Nishimura-Gasparian; Robert McCarthy; Roland S. Zimmermann; David Lindner (CoRR, 2025)