Cargando…
Human Stiffness Perception and Learning in Interacting With Compliant Environments
Humans are capable of adjusting their posture stably when interacting with a compliant surface. Their whole-body motion can be modulated in order to respond to the environment and reach to a stable state. In perceiving an uncertain external force, humans repetitively push it and learn how to produce...
Autores principales: | Takahashi, Chie, Azad, Morteza, Rajasekaran, Vijaykumar, Babič, Jan, Mistry, Michael |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9215212/ https://www.ncbi.nlm.nih.gov/pubmed/35757537 http://dx.doi.org/10.3389/fnins.2022.841901 |
Ejemplares similares
-
Development and Electromyographic Validation of a Compliant Human-Robot Interaction Controller for Cooperative and Personalized Neurorehabilitation
por: Dalla Gasperina, Stefano, et al.
Publicado: (2022) -
A Compliant Force Control Scheme for Industrial Robot Interactive Operation
por: Xue, Xianfa, et al.
Publicado: (2022) -
Phase-Synchronized Learning of Periodic Compliant Movement Primitives (P-CMPs)
por: Petrič, Tadej
Publicado: (2020) -
Learning system for compliant autonomous tasks in harsh environments
por: Solis Paiva, Santiago Andres
Publicado: (2019) -
Human-In-The-Loop Control and Task Learning for Pneumatically Actuated Muscle Based Robots
por: Teramae, Tatsuya, et al.
Publicado: (2018)