A Controllable and Repeatable Method to Study Perceptual and Motor Adaptation in Human-Robot Interaction
Author:
Affiliation:
1. University of Genoa & Italian Institute of Technology, Genoa, Italy
2. Italian Institute of Technology, Genoa, Italy
Funder
European Research Council
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3568294.3580069
Reference19 articles.
1. Curioni , A. , Knoblich , G. , Sebanz , N. , Goswami , A. , & Vadakkepat , P. ( 2019 ). Joint action in humans: A model for human-robot interactions. Humanoid Robotics: A Reference, 2149--2167 . Curioni, A., Knoblich, G., Sebanz, N., Goswami, A., & Vadakkepat, P. (2019). Joint action in humans: A model for human-robot interactions. Humanoid Robotics: A Reference, 2149--2167.
2. Humane Robots—from Robots with a Humanoid Body to Robots with an Anthropomorphic Mind
3. Knill D. C. & Pouget A. "The Bayesian brain: the role of uncertainty in neural coding and computation." TRENDS in Neurosciences 27.12 (2004): 712--719. Knill D. C. & Pouget A. "The Bayesian brain: the role of uncertainty in neural coding and computation." TRENDS in Neurosciences 27.12 (2004): 712--719.
4. H. Helmholtz , Handbuch der physiologischen Optik . Leipzig , 1866 . H. Helmholtz, Handbuch der physiologischen Optik. Leipzig, 1866.
5. Generalization of prior information for rapid Bayesian time estimation
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