Cargando…
A Framework for Human-Robot-Human Physical Interaction Based on N-Player Game Theory
In order to analyze the complex interactive behaviors between the robot and two humans, this paper presents an adaptive optimal control framework for human-robot-human physical interaction. N-player linear quadratic differential game theory is used to describe the system under study. N-player differ...
Autores principales: | Zou, Rui, Liu, Yubin, Zhao, Jie, Cai, Hegao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506811/ https://www.ncbi.nlm.nih.gov/pubmed/32899335 http://dx.doi.org/10.3390/s20175005 |
Ejemplares similares
-
A Novel Human Intention Prediction Approach Based on Fuzzy Rules through Wearable Sensing in Human–Robot Handover
por: Zou, Rui, et al.
Publicado: (2023) -
An Immersive Human-Robot Interactive Game Framework Based on Deep Learning for Children’s Concentration Training
por: Liu, Li, et al.
Publicado: (2022) -
A multimodal human-robot sign language interaction framework applied in social robots
por: Li, Jie, et al.
Publicado: (2023) -
Human core duplicon gene families: game changers or game players?
por: Bekpen, Cemalettin, et al.
Publicado: (2019) -
A Socially Adaptable Framework for Human-Robot Interaction
por: Tanevska, Ana, et al.
Publicado: (2020)