Erik Strahl
Papers
27
Total Citations
478
H-Index
13
About
Erik Strahl is a robotics and artificial intelligence researcher whose work sits at the intersection of human-robot interaction, neuro-cognitive modeling, and social robotics. He is perhaps best known for his central role in developing the NICO (Neuro-Inspired COmpanion) robot platform, a humanoid system designed to bridge robotics, neuroscience, psychology, and cognitive science — a paper that has garnered 79 citations since 2017. Building on this foundation, Strahl has made significant contributions to personalizing human-robot interaction, demonstrating how adaptive, user-responsive robots can facilitate more natural and effective communication (66 citations). His research further explores how robots can learn and express emotions through deep neural architectures, developing empathy-driven models that make social robots more intuitive companions. Beyond emotional intelligence, Strahl has investigated human-robot trust through immersive experimental scenarios and examined the effects of explainable AI on user perceptions of robots. More recently, his NICOL platform (2023) advances collaborative semi-humanoid robotics by uniting social interaction with reliable physical manipulation. With a consistently cited body of work spanning multimodal learning, haptic object classification, and crossmodal social teaching, Strahl represents a compelling voice in the drive toward genuinely intelligent, human-centered robots.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4Learning Empathy-Driven Emotion Expressions using Affective Modulations30 citations · 2018
- 5Explain yourself! Effects of Explanations in Human-Robot Interaction23 citations · 2022
- 6An Immersive Investment Game to Study Human-Robot Trust22 citations · 2021
- 7
- 8
- 9
- 10