A theoretical consideration on robotic imitation initiated by verbal suggestion

It is extremely difficult for a robot to understand what to imitate in human demonstration because there are too many things to attend to as it is. The mental image directed semantic theory (MIDST) has proposed an omnisensory mental image model and its description language L_md intended to facilitate intuitive human-robot interaction such that happens between non-expert people and home robots. This paper presents a brief description of the MIDST and a theoretical consideration on robotic imitation driven by verbal suggestion interpreted in L_md, controlling the artificial attention mechanism efficiently.