Research on biomechanics, sensing, and bio-inspired control is vital for progressing rehabilitation and wearable robotics. Biomechanical simulation can provide the theoretical basis for device design and optimize the design and control scheme. The fusion of bio-signals, neural signals, and physical signals is helpful for accurate perception and recognition of human motion intention. Bio-inspired control is an important direction of individualized and efficient assistance of rehabilitation and wearable robotics. In recent years, with the development of biomedical and information technology, the equipment used for information acquisition has been updated from cumbersome and immobile devices to small and portable ones, making integration with rehabilitation and wearable robotics easier. Moreover, the performance of rehabilitation and wearable robotics can be quantified by changes in biomechanics and through the use of biosensors.
The proposed Research Topic invites theoretical and experimental research dealing with novel techniques for quantifying biomechanics, sensing, and bio-inspired control in rehabilitation and wearable robotics. For example, the use of biologically inspired actuators no longer requires rigid supports, as the skeletal system can be used to that end; the application of synergies or motor primitives has led to a reduction in the number of actuators or to improve their control. The latest advances in modeling and simulation made it possible to assess and control fatigue or simulate using such devices outside of a clinical environment. These research achievements enable a new generation of rehabilitation and wearable robotics.
The research topic is interested in biomechanical analysis, design, simulation, sensing, and control systems for rehabilitation and wearable robotics such as powered exoskeletons, neuroprostheses, and other devices that assist or augment humans. Topics of interest include, but are not limited to:
1. Biomechanics analysis of human movement
2. Mechanical design of rehabilitation and wearable robotics
3. Movement simulation while using rehabilitation and wearable robotics
4. Wearable sensor systems applied to humans
5. Human-machine interaction in biomedical engineering
6. Motion intention recognition;
7. Bio-inspired control in rehabilitation and wearable robotics
8. Applications of biological materials in rehabilitation and wearable robotics
9. The combination of bioengineering and rehabilitation robotics
Research on biomechanics, sensing, and bio-inspired control is vital for progressing rehabilitation and wearable robotics. Biomechanical simulation can provide the theoretical basis for device design and optimize the design and control scheme. The fusion of bio-signals, neural signals, and physical signals is helpful for accurate perception and recognition of human motion intention. Bio-inspired control is an important direction of individualized and efficient assistance of rehabilitation and wearable robotics. In recent years, with the development of biomedical and information technology, the equipment used for information acquisition has been updated from cumbersome and immobile devices to small and portable ones, making integration with rehabilitation and wearable robotics easier. Moreover, the performance of rehabilitation and wearable robotics can be quantified by changes in biomechanics and through the use of biosensors.
The proposed Research Topic invites theoretical and experimental research dealing with novel techniques for quantifying biomechanics, sensing, and bio-inspired control in rehabilitation and wearable robotics. For example, the use of biologically inspired actuators no longer requires rigid supports, as the skeletal system can be used to that end; the application of synergies or motor primitives has led to a reduction in the number of actuators or to improve their control. The latest advances in modeling and simulation made it possible to assess and control fatigue or simulate using such devices outside of a clinical environment. These research achievements enable a new generation of rehabilitation and wearable robotics.
The research topic is interested in biomechanical analysis, design, simulation, sensing, and control systems for rehabilitation and wearable robotics such as powered exoskeletons, neuroprostheses, and other devices that assist or augment humans. Topics of interest include, but are not limited to:
1. Biomechanics analysis of human movement
2. Mechanical design of rehabilitation and wearable robotics
3. Movement simulation while using rehabilitation and wearable robotics
4. Wearable sensor systems applied to humans
5. Human-machine interaction in biomedical engineering
6. Motion intention recognition;
7. Bio-inspired control in rehabilitation and wearable robotics
8. Applications of biological materials in rehabilitation and wearable robotics
9. The combination of bioengineering and rehabilitation robotics