Caroline Langensiepen
Papers
7
Total Citations
132
H-Index
5
About
Dr. Caroline Langensieper is a leading researcher in socially assistive robotics, with a focus on promoting active and healthy ageing. Her work centers on developing robotic systems that engage, coach, and motivate older adults in physical exercise, addressing a critical global health challenge: the World Health Organization reports that lack of physical activity contributes to around 3.2 million premature deaths annually. Her most cited paper, "Socially Assistive Robotics: Robot Exercise Trainer for Older Adults" (74 citations), introduces a robotic system that uses the UK's National Health Service-recommended exercises to improve well-being. Dr. Langensieper has also made significant contributions to human activity learning for assistive robotics, proposing a classifier ensemble method that uses RGB-depth sensors to enable robots to understand and execute human activities (35 citations). Her work on empathetic companion robots explores human emotional understanding, aiming to create more responsive and supportive robotic interactions. With a consistent focus on transfer learning and activity recognition, her research is shaping the future of ambient assisted living, where robots can learn, adapt, and provide personalized care for an aging population.
Research Focus
Key Achievements
Top Papers
- 1Socially Assistive Robotics: Robot Exercise Trainer for Older Adults74 citations · 2018
- 2Human activity learning for assistive robotics using a classifier ensemble35 citations · 2018
- 3Active and Healthy Ageing7 citations · 2017
- 4Human Emotional Understanding for Empathetic Companion Robots6 citations · 2016
- 5Human Activities Transfer Learning for Assistive Robotics5 citations · 2017
- 6Learning Human Activities for Assisted Living Robotics3 citations · 2017
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