Systems and methods for semantic knowledge based dynamic utility calculation

摘要

Parameters specific to robot, environment, target objects and their inter-relations need to be considered by a robot to estimate cost of a task. As the existing task allocation methods assume a single utility value for a robot-task pair, combining heterogeneous parameters is a challenge. In applications like search and rescue, manual intervention may not be possible in real time. For such cases, utility calculation may be a hindrance towards automation. Also, manufacturers follow their own nomenclature and units for robotic specifications. Only domain experts can identify semantically similar terms and perform necessary conversions. Systems and methods of the present disclosure provide a structured semantic knowledge model to store and describe data in a uniform machine readable format such that semantics of those data can be interpreted by the robots and utility computation can be autonomous to make task allocation autonomous, semantic enabled and capable of self-decision without human intervention.