Human-Robot Systems: Modeling, Control and Prediction
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: closed (31 August 2020) | Viewed by 7553
Special Issue Editor
Special Issue Information
Dear Colleagues,
This Special Issue covers intelligent methods of designing intelligent interaction with bidirectional communication, based on collaboration and a symbiosis between human and robot. One aspect is the recognition of human intentions by the robot. Another aspect is the modeling of the human robot system that reflect the nonlinear nature of the system to be controlled. Another topic is the control problem in the human–robot interaction and the intention to compete or cooperate in common workspaces, and the corresponding flow of information. Intelligent approaches like fuzzy methods, neural nets, machine learning methods, deep learning etc. combined with classical approaches help in all these areas, also for collisions avoidance and for a co-operation between humans and robots. Prediction and learning of the human–robot behavior based on intelligent methods enables efficient task planning and execution. I invite you to submit your research on these topics, in the form of original research papers and articles.
Prof. Dr. Rainer Palm
Guest Editor
Manuscript Submission Information
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Keywords
- Human–robot interaction
- Intention recognition
- Prediction of human behavior
- Fuzzy modeling and control
- Multiple human–robot systems
- Cooperative intelligence
- Human-like learning
- Motion planning
- Navigation
- Mapping
- Localization
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