Human Robot interaction for rehabilitation & assistance
摘要截稿:
全文截稿: 2019-01-30
影响因子: 1.902
期刊难度:
CCF分类: 无
中科院JCR分区:
• 大类 : 心理学 - 3区
• 小类 : 计算机:人工智能 - 4区
• 小类 : 神经科学 - 4区
• 小类 : 心理学:实验 - 4区
Overview
Recently, technological advancements have led to the use of robotic devices to facilitate gait rehabilitation and assistance. While robots have become faster, “smarter”, stronger, more accurate and reliable, challenges remain in adaptability, decision making and robustness to changing and uncertain situations. To address these shortfalls and improve flexibility to fast production changes, future working environments will be populated by both humans and robots, sharing the same workspace. This scenario entails a series of issues and topics, such as safety, optimal tasks allocation and scheduling, learning and error recovery, Rehabilitation robotics aims at developing novel solutions for assisted therapy and objective functional assessment of patients with reduced motor and cognitive abilities. Assistive robots are devised to be usable in a lifelong perspective in real-life scenarios, and thus, they need to take into deeper account the end-user subjective preferences in order to maximize their overall acceptability.
This special issue aims at developing robotic solutions devised for promoting independent living of disabled and elderly citizens.
Potential topics included, but not limited
- Methodical approaches to human-oriented design
- Quantitative analysis methods for rehabilitation and sports training
- Human motion analysis and understanding for imitation learning and human-robot interaction
- Methodologies for replicable experiments in robotics research
- Innovative actuators, control algorithms applied to rehabilitation robots, exoskeletons, and prostheses
- Measurements of kinetic and kinematic variables for activities of daily living
- Application of robotic systems for biomechanical modeling of the human body
- Robotic systems for cognitive rehabilitation and for diagnosis and treatment of neurodevelopmental disorders
- Modelling and simulation for robotic rehabilitation systems
- Informational monitoring, control, and data fusion for rehabilitation systems
- Experimental methods to compare artificial and natural systems