Rehabilitation Robot with Intelligent Sensing System
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Robotics and Automation".
Deadline for manuscript submissions: closed (30 November 2023) | Viewed by 1780
Special Issue Editors
Interests: rehabilitation medicine; rehabilitation engineering; hand rehabilitation robots
Special Issues, Collections and Topics in MDPI journals
Interests: rehabilitation engineering; medical flexible sensing; simulation design of optical; mechanical and electrical integration; mechanical engineering
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Considering the development of rehabilitation engineering, rehabilitation robots, especially upper limb rehabilitation robots, lower limb rehabilitation robots and hand rehabilitation robot systems, show great application potential. An important symbol of a high-end rehabilitation robot is human–machine integration technology that uses high-end sensors to realize intention recognition. Accurate recognition of motor intention is of great scientific significance and clinical value for accurate rehabilitation based on real motor intention. Sensing sensors and algorithms are important problems that restrict the application of rehabilitation robots. The application of flexible sensing systems and intelligent algorithms has become one solution to this problem. This Special Issue aims to collect high-quality original research focused on the development of rehabilitation robots and methods for intelligent sensing, modeling, learning and control of robots.
- Modeling and development of rehabilitation robot;
- Design of wearable device controlled by upper limb rehabilitation robot;
- Modeling, development and experiment of hand rehabilitation robot;
- Lower limb rehabilitation robot and its application;
- Research and control of prosthetics;
- Wearable device based on intelligent flexible sensing;
- Information fusion technology of multimode sensing;
- Human robot cooperative learning and control.
Dr. Kai Guo
Prof. Hongbo Yang
Guest Editors
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Keywords
- rehabilitation robot
- wearable robot
- intelligent system
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