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Barry Mulvey, PhD

Robotics & AI Researcher/Engineer (PhD, Imperial College London)
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Summary


Robotics & AI Researcher/Engineer. PhD at Imperial focused on mobile robot adaptivity, perception, and learning. Experienced in algorithm development, multimodal sensing, machine learning, hardware-software integration.

Solution-oriented with industry experience in robotics and software engineering. Demonstrated leadership capability in academic and commercial environments.

Awarded EPSRC PhD scholarship. Won the mid-stage Amazon PhD Prize for Outstanding Achievement in Robotics. Awarded 1st Class Honours Master of Electronic & Computer Engineering.

Active member of IEEE, the IET, and Engineers Ireland; served on Council and as Chair of the Young Engineers Society. Founding Chair of the Imperial Robotics Postgrads Network under the Imperial Robotics Forum.

Publications & Contributions

B. W. Mulvey and T. Nanayakkara, “HAVEN: Haptic And Visual Environment Navigation by a Shape-Changing Mobile Robot with Multimodal Perception,” Scientific Reports, vol. 14, no. 1, p. 27018, 2024, doi: 10.1038/s41598-024-75607-7.

B. W. Mulvey, T. D. Lalitharatne, and T. Nanayakkara, “DeforMoBot: A Bio-Inspired Deformable Mobile Robot for Navigation Among Obstacles,” IEEE Robotics and Automation Letters, vol. 8, no. 6, pp. 3828–3835, 2023, and IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023). (Awarded IEEE/RAS Grant)

T. Nanayakkara, B. W. Mulvey, S. Perera, Y. Ge, Z. Yu & P. Sunilkumar, “Soft Robots as a Means to Understand Embodied Intelligence,” in Handbook of Soft Robotics, T. Nanayakkara, et al., Springer Nature, 2024.

B. W. Mulvey and T. Nanayakkara, “Multimodal Sensing for Agile Shape-Changing Robot Navigation and Interaction in Unstructured Environments,” IEEE ICRA 2025 Doctoral Consortium and Workshops on “Towards Agility and Robustness: Mechanical Intelligence in Robotics, Biology, and Smart Materials”; “Unconventional Robots: Rethinking Robotic Systems Beyond Convention”; and “Soft Robotics for Space Applications”. (Awarded Imperial College Grant)

T. Godden, B. W. Mulvey, E. Redgrave, and T. Nanayakkara, “PaTS-Wheel: A Passively-Transformable Single-Part Wheel for Mobile Robot Navigation on Unstructured Terrain,” IEEE Robotics and Automation Letters, vol. 9, no. 6, pp. 5512-5519, 2024, and IEEE International Conference on Robotics and Automation (ICRA 2025).

B. W. Mulvey, “Visual and Proprioceptive Multimodal Perception for Active Manipulation by a Shape-Changing Mobile Robot,” at International Conference on Embodied Intelligence, 2025.

D. Chappell, B. Mulvey, S. Perera, F. Bello, P. Kormushev, N. Rojas, “Beyond Humanoid Prosthetic Hands: Modular Terminal Devices That Improve User Performance,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 33, pp. 466-475, 2025.

B. W. Mulvey, “Sensor Integration for Embodied Interaction in Unstructured Environments,” at International Conference on Embodied Intelligence, 2024.

B. W. Mulvey, T. D. Lalitharatne, and T. Nanayakkara, “Traversing Visually-Similar Physically-Different Obstacles with a Bio-Inspired Deformable Mobile Robot,” Towards Autonomous Robotic Systems: 24th Annual Conference (TAROS 2023), and IEEE International Conference on Robotics and Automation Workshop on Agile Movements (ICRA).

B. W. Mulvey, “Determination of Fat Content in Foods Using a Near-Infrared Spectroscopy Sensor,” IEEE SENSORS, 2020.

B. W. Mulvey and M. P. Kennedy, “Fat Sensing Using Low-Cost Near-Infrared Spectroscopy,” 30th Irish Signals and Systems Conference (ISSC), 2019. (Awarded 2nd place Best Student Paper)

B. Ó hAnnaidh, P. Fitzgerald, H. Berney, R. Lakshmanan, N. Coburn, S. Geary, and B. Mulvey, “Devices and Sensors Applicable to 5G System Implementations,” IEEE IMWS-5G, 2018.