Gwenn Englebienne
Papers
15
Total Citations
196
H-Index
10
About
Gwenn Englebienne is a leading researcher in socially intelligent robotics, with a focus on human-robot interaction, activity recognition, and telepresence systems. Their work bridges the gap between technical perception and social behavior, enabling robots to navigate and interact with people in natural, intuitive ways. A key contribution is the development of learning methods for human activity recognition that use "soft labels," allowing robots to train on incomplete or ambiguous data—a breakthrough for real-world applications like elderly care, as demonstrated in their 2016 paper (30 citations). Englebienne also pioneered the TERESA project, a socially intelligent telepresence system designed to connect elderly individuals with their communities, and explored the concept of "embodied telepresence" in their 2022 work (20 citations), which extends beyond simple presence to transport a user’s functional and social self. Their research on social positioning, proxemics, and gaze cues (e.g., making robot personal space invasion less intrusive) has garnered significant attention, with papers accumulating over 150 citations. Englebienne’s work is notable for its practical impact, advancing how robots perceive, learn, and behave in human-centered environments.
Research Focus
Key Achievements
Top Papers
- 1Learning to Recognize Human Activities Using Soft Labels30 citations · 2016
- 2Dynamics of social positioning patterns in group-robot interactions23 citations · 2015
- 3TERESA: a socially intelligent semi-autonomous telepresence system21 citations · 2015
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- 5Learning to Recognize Human Activities from Soft Labeled Data18 citations · 2014
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- 7Posture recognition with a top-view camera12 citations · 2013
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