Special Issue on Intelligent Techniques for Cognitive Robotics
Published 02 February, 2021
Cognitive Robotics (CR) endows a robot with intelligent behaviour, merging two research fields; physical systems and control architectures. The first field is designed to adapt to dynamic environments, while the latter explicitly considers the need to acquire and exploit past experiences.
In practice, the research field of CR is interdisciplinary, inspired by knowledge and methods from areas such as psychology, biology, signal processing, physics, information theory, mathematics and mechanical science. As CR develops, the cross-fertilisation of these research areas will continue.
This special issue aims to promote technologies like artificial intelligence, computational computing and computational neuroscience. These areas currently provide the best tools for upgrading robots to near-human intelligence. The overall goal of this special issue is to foster links between the fields of cognitive science, robotics and machine intelligence, and promote the methodologies required for CR research.
Topics Covered:
- Intelligent algorithms
- Behavioural analysis of robots
- Pattern classification of robotics behaviours
- Brain-robot interface
- Computational perception and action
- Cognitive computing
- Distributed robotics
- Human activity monitoring
- Human-robot cooperation
- Mobile manipulation
- Multi-robot localisation and mapping
- Multi-robot tele-immersion
- Machine learning for robots
- Computer vision for robot applications
- Robotic routers
- Robotic sensor networks
- Evolutionary algorithms
- Internet of medical things
Important Deadlines:
- Submission deadline: 30 September 2021
Submission Instructions:
Please read the Guide for Authors before submitting. All articles should be submitted online; please select SI: Intelligent Techniques for Cognitive Robotics on submission.
Guest Editors:
- Managing Guest Editor: Dr. Rushi Lan, Guilin University of Electronic Technology, China. Email: rslan@guet.edu.cn
- Dr. Yujie Li, Fukuoka University, Japan. Email: yzyjli@gmail.com
- Dr. Leo Zhang, Deakin University, Australia. Email: leo.zhang@deakin.edu.au
