Human-Like Movement Measures for a Humanoid Robot

In this paper, we present a framework for learning and replicating simple human movements by an artificial agent (humanoid robot Pepper) and discuss measures based on a sensorimotor Turing Test (smTT) to distinguish between human-generated movements and those generated by an artificial agent.

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Published
2024-11-20
DOI
https://doi.org/10.1145/3687272.3690909
Primary Topic
Robot Manipulation and Learning
Type
article
Field-Weighted Citation Impact
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article

Human-Like Movement Measures for a Humanoid Robot

Yasmin Kim Georgie, Verena V. Hafner, Kirill Rashich
Robot Manipulation and Learning
article

Human-Like Movement Measures for a Humanoid Robot

Yasmin Kim Georgie, Verena V. Hafner, Kirill Rashich
article en

Abstract

In this paper, we present a framework for learning and replicating simple human movements by an artificial agent (humanoid robot Pepper) and discuss measures based on a sensorimotor Turing Test (smTT) to distinguish between human-generated movements and those generated by an artificial agent.

Humboldt-Universität zu Berlin (DE)
Openalex Percentile: Top 76%
Robot Manipulation and Learning
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Human-Like Movement Measures for a Humanoid Robot — Yasmin Kim Georgie, Verena V. Hafner, et al. · (2024) | TGRS Research Map | TGRS