Learning a knowledge base of ontological concepts for high-level scene interpretation

Author(s):  
Johannes Hartz ◽  
Bernd Neumann
Electronics ◽  
2019 ◽  
Vol 8 (10) ◽  
pp. 1105 ◽  
Author(s):  
Sun ◽  
Zhang ◽  
Chen

Knowledge can enhance the intelligence of robots’ high-level decision-making. However, there is no specific domain knowledge base for robot task planning in this field. Aiming to represent the knowledge in robot task planning, the Robot Task Planning Ontology (RTPO) is first designed and implemented in this work, so that robots can understand and know how to carry out task planning to reach the goal state. In this paper, the RTPO is divided into three parts: task ontology, environment ontology, and robot ontology, followed by a detailed description of these three types of knowledge, respectively. The OWL (Web Ontology Language) is adopted to represent the knowledge in robot task planning. Then, the paper proposes a method to evaluate the scalability and responsiveness of RTPO. Finally, the corresponding task planning algorithm is designed based on RTPO, and then the paper conducts experiments on the basis of the real robot TurtleBot3 to verify the usability of RTPO. The experimental results demonstrate that RTPO has good performance in scalability and responsiveness, and the robot can achieve given high-level tasks based on RTPO.


The structure of the knowledge base for the transition from the production technological preparation (PTP) to the information technology for solving the problems of high-level automation practice is proposed. Technological schemes of basing on their possible multitude for solving the problems of PTP practice are considered on the basis of the «structure» conception in the structural elements interaction of object basing and «basing» object. Keywords technical preparation of production; machine cutting; system analysis; information technology; modeling solutions; system technology


1996 ◽  
Vol 5 (3) ◽  
pp. 181-195 ◽  
Author(s):  
Yuh-Ming Shyy ◽  
Javier Arroyo ◽  
Stanley Y.W. Su ◽  
Herman Lam

2021 ◽  
Vol 12 (4) ◽  
pp. 53-60
Author(s):  
Povyssha K. ◽  
◽  
Sopivnyk R. ◽  

The current stage of training future accountants is characterized by the development of their desire to be socially active and responsible, high level of communication, critical thinking and breadth of professional outlook, because the communication skills of accounting professionals are part of intellectual and educational components of their training. accountants need to master the relevant knowledge base and then turn the acquired knowledge into skills and abilities.


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