Special Issue - Recent Advances in Brain-Computer Interfaces for Human-Robot Interaction
Call for papers for: Industrial Robot
Human-robot interaction (HRI) is a diverse and multidisciplinary research area that covers every aspect of human factors and robotics. It is an active area of research, where researchers from various disciplines are actively involved in finding various tools, techniques, and protocols to enhance the potential of HRI systems. However, it is neither possible nor practical for the researchers to cover every important aspect of a particular research area. In this perspective, HRI has acquired greater importance with outstanding research improvements and future requirements. In general, it is a combined form of cognitive psychology, human-computer interaction (HCI), robotics, and artificial intelligence.
One of the major objectives of HRI applications is to enable robots to efficiently interact with humans. As robots make their way into functional roles of everyday environments like schools, hospitals, homes, etc., it is important for them to interact with ordinary people in a more effective way. It is most important that individuals associated with the HRI process shouldn’t require a new form of interaction method. Hence, it has become essential to develop advanced computational models with social intelligence for HRI, that enable human-robot interaction in a more natural and intuitive fashion from a human perspective.
Brain-computer interface (BCI) deals with methods and techniques to connect the human brain with external technology. It makes use of the signals recorded from the brain to convey the user intent. With the help of the brain signals, BCI controls the robots and prosthetic devices in a most efficient manner. To be precise, BCI works in three different steps such as the collection of brain signals, interpretation of brain signals, and outputting commands to the external devices based on the brain signal received. Invasive, non-invasive, and semi-invasive are three major types of BCI systems widely used for HRI.
In the last few decades, there has been a tremendous development in BCI for HRI. Now, however, researchers and practitioners are looking for the most appropriate way to convert electrical impulses from brain signals into insight that conveys a person's thoughts. While achieving the speed, accuracy, and reliability necessary for real-world applications of BCI-based robotic systems has become a greater challenge. In this aspect, this special issue of Industrial Robot aims to bring out advances in BCI for HRI. It offers an excellent platform for researchers and industrial professionals to share the most innovative and ideal solutions for HRI using BCI.
The topics of interest for the special issue include, but are not limited to the following:
- Role of augmented and virtual reality in HRI
- Advances in cognitive science and machine intelligence for HRI
- Frontiers in natural language processing systems for HRI
- Robot navigation and motion tracking with BCI and artificial intelligence
- New trends in neuroscience for the design and development of BCI applications
- Brain-controlled neurorobotics with BCI
- Robot grasping and manipulation with BCI and computer vision
- Effective methods of BCI to control robots in extreme environments
- Adaptive and optimal control models of robots using BCI
- Advances in BCI for human rehabilitation and medical applications
- EEG signal processing and BCI for HRI
- Intelligent control systems for robotics and automation
- Qualitative and approximate reasoning models for HRI
Submission Deadline: 4th September 2020
All submissions must be made via ScholarOne.
Any queries regarding submissions should be directed to the Guest Editors.
Dr. Giuseppe Fenza
University of Salerno, Italy
Dr. Ruben Gonzalez Crespo
Universidad Internacional de la Rioja, Spain.