Lars Schillingmann
Papers
16
Total Citations
227
H-Index
8
About
Lars Schillingmann is a leading researcher in developmental robotics, with a focus on human-robot interaction, social learning, and the computational modeling of early cognitive development. His work centers on how robots can learn from untrained human teachers by leveraging the natural structure of social interaction—particularly through gaze, turn-taking, and the coupling of language with action. A key contribution is his development of the **Acoustic Packaging** model, which computationally implements the idea that speech prosody helps segment and structure observed actions for learning. This framework has been applied in multiple studies (32 and 11 citations) to enable robots to parse human demonstrations. Schillingmann also played a central role in the **ITALK project** (25 citations), a major multidisciplinary initiative integrating individual, social, and linguistic learning in humanoid robots. His highly cited work on the "curious robot" (50 citations) introduced an interactive teaching scenario that actively engages users, while his studies on gaze-contingent behavior (17, 16, and 15 citations) have advanced the design of more natural, responsive robotic tutors. With over 200 total citations, Schillingmann’s research provides foundational insights into building robots that learn as humans do.
Research Focus
Key Achievements
Top Papers
- 1The curious robot - Structuring interactive robot learning50 citations · 2009
- 2A Computational Model of Acoustic Packaging32 citations · 2009
- 3
- 4On Studying Human Teaching Behavior with Robots: a Review21 citations · 2017
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- 6A Gaze-contingent Dictating Robot to Study Turn-taking16 citations · 2015
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- 8Towards a computational model of Acoustic Packaging11 citations · 2009
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