Papers
7
Total Citations
150
H-Index
5
About
Sean Sedwards is a leading researcher at the intersection of assistive robotics, motion planning, and human-robot interaction, with a particular focus on enhancing mobility for older adults and individuals with impaired abilities. His work addresses the critical challenge of navigating complex, crowded public spaces, where deteriorating physical and mental health can create a vicious cycle of reduced sociability and mobility. Sedwards’s most impactful contribution is the DALi approach (72 citations), a comprehensive framework for navigation assistance and guidance across complex environments. He has pioneered the integration of statistical model checking with the Social Force Model to create efficient, real-time motion planning algorithms that anticipate and avoid undesirable circumstances in crowds (24 citations). His research further extends to developing customisable dynamic motion planning for assistive robots (28 citations) and using behavioural templates to improve robot navigation in human environments (14 citations). More recently, Sedwards has explored the critical dimensions of information security, privacy, and trust in social robotic assistants for older adults, as well as advancing constrained reinforcement learning with recursive constraints to prevent instability. His work consistently bridges theoretical rigor with practical, human-centred applications, making intelligent environments safer and more accessible for vulnerable populations.
Research Focus
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