Ella‐Mae Hubbard
Papers
11
Total Citations
141
H-Index
6
About
Ella-Mae Hubbard is a pioneering researcher at the intersection of human-robot collaboration (HRC), ethics, and future manufacturing systems. Her work spans the technical and philosophical dimensions of integrating collaborative robots — or "cobots" — into industrial and societal contexts, with a particular focus on ensuring these systems are safe, effective, and ethically grounded. Hubbard's most influential contribution, an ethical framework for human-robot collaboration in people-centric manufacturing (2024, 59 citations), has rapidly become a foundational reference for researchers and practitioners navigating the complex responsibilities of deploying smart robotics in shared workspaces. Her technical research further advances the field through wearable sensor systems for physical collaboration (2020, 24 citations), incremental learning approaches to detect muscular fatigue (2023, 11 citations), and data-driven co-manipulation modelling using EMG signals. Beyond the factory floor, Hubbard examines broader societal implications, including mental health, trust in automated systems, and the ethical challenges posed by Industry 5.0 and AI-driven entrepreneurship. Her comprehensive 2025 review of human-robot collaborative systems (17 citations) reflects her growing influence as a synthesiser of this rapidly evolving field. With over 130 cumulative citations across diverse, interdisciplinary work, Hubbard represents a compelling and timely voice shaping responsible human-robot futures.
Research Focus
Key Achievements
Top Papers
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- 2Effective Human-Robot Collaboration Through Wearable Sensors24 citations · 2020
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