Abstract: The most rational mode of communication between intelligent robot and human-operator is bilateral speech dialogue using a problem-oriented language. The dialogue mode of control raises the problem of compliance between the human and robot perception of external world, logic, behavior planning and decision making. We suppose that linguistic variables and fuzzy logic is the most suitable approach for the mentioned problems. The model of the world formed on the base of natural space-time relations allows formulating the basic robot operations in terms of linguistic variables and to solve the problem of planning of robot behavior in previously undetermined environment. Using the fuzzy neural networks it is possible to train robot to fulfill complicated operations by human-operator. Relationship between fuzzy logic approach and the procedures of speech recognition are also under consideration

Keywords: mobile robot, fuzzy logic, human operator, remote control, artificial intelligence, operation planning, robot learning

Link:

ROBOT CONTROL VIA DIALOGUE

Arkady Yuschenko

http://foibg.com/ibs_isc/ibs-13/ibs-13-p22.pdf