We are living inside an ocean of signals. Our mental capabilities of transforming signals into knowledge enable us to gain autonomy and adaptation in a dynamically changing environment. Robots are living inside the same ocean of signals. Hence, it should be a research goal to discover or invent the physical principles behind transformations from sensory signals to knowledge, from one kind of knowledge into another kind of knowledge, and from knowledge back to control signals.
This Special Issue, titled ‘Artificial Intelligence for Autonomous Robots’, welcomes original research works which address the above-mentioned transformations under the contexts of various application scenarios such as autonomous robots for industry, agriculture, land transportation, maritime transportation, transportation in air, medical intervention, elderly cares, home cares, education, entertainment, general service, defense, etc.
Each submitted paper should clearly state the following: 1. Problems under investigation; 2. Existing works; 3. Better solutions; 4. Details of the proposed solutions; and 5. Experimental results.
Key Topics
- vision-centric Intelligence and its applications to achieve robot’s autonomy
- speech-centrici ntelligence and its applications to achieve robot’s autonomy
- touch-centric intelligence and its applications to achieve robot’s autonomy
- planning-centric intelligence and its applications to achieve robot’s autonomy
- control-centric intelligence and its applications to achieve robot’s autonomy
- data-centric intelligence and its applications to achieve robot’s autonomy
- creativity-centric intelligence and its applications to achieve robot’s autonomy
More details could be found here.