Ben Serrien
Papers
2
Total Citations
63
H-Index
2
About
Ben Serrien is a leading researcher in the fields of physical human-robot interaction and rehabilitation robotics, with a focus on improving the design and efficacy of wearable exoskeletons. His major contributions include pioneering work on soft robotic cuffs for human-robot interfaces, where he investigated how strapping pressure affects interface dynamics—a critical factor in reducing discomfort and power loss during exoskeleton use. His 2020 paper on this topic has garnered 45 citations, underscoring its impact on advancing interface design. Additionally, Serrien has explored the role of sensory feedback in robot-assisted rehabilitation, notably studying how optic flow speed influences active participation during treadmill walking in healthy adults. His 2019 work on this subject, with 18 citations, highlights his interest in optimizing virtual environments to enhance user engagement and reduce motion sickness. Through these studies, Serrien has contributed to more intuitive and effective robotic systems for rehabilitation and human augmentation, making his research essential for engineers and clinicians developing next-generation assistive technologies.
Research Focus
Key Achievements
Top Papers
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