Profile

Barry Mulvey

Final-Year Robotics PhD Candidate at Imperial
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Summary


Final-Year Robotics PhD Candidate at Imperial College London working on mobile robot design, perception, and learning. Master of Electronic & Computer Engineering graduate (1st Class Honours) with a strong academic background. Keen interests in robotics, sensors, and artificial intelligence.

Industry experience in robotics and software system design engineering. Demonstrated leadership capability in academic and commercial environments, with experience working in five countries. Collaborative team player energised by group interaction across academic and extracurricular activities.

Awarded EPSRC PhD scholarship. Won the mid-stage Amazon - Imperial Robotics PhD Prize for Outstanding Achievement in Robotics.

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, “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 Old Centralians' Trust Grant)

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 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.

T. Nanayakkara, B. W. Mulvey, et al., “Soft Robots as a Means to Understand Embodied Intelligence,” in Handbook of Soft Robotics, T. Nanayakkara, et al., Springer Nature, 2024.

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

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)

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)

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.