Robotic Understanding of Object Semantics by Referringto a Dictionary
| Autor: | Fujian Yan, Hongsheng He, Dang M. Tran |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Social robot Property (philosophy) General Computer Science Social Psychology Computer science business.industry 05 social sciences Robotics 02 engineering and technology Object (computer science) Semantics Object detection Human-Computer Interaction Comprehension Philosophy 020901 industrial engineering & automation Control and Systems Engineering Human–computer interaction Robot 0501 psychology and cognitive sciences Artificial intelligence Electrical and Electronic Engineering business 050107 human factors |
| Zdroj: | International Journal of Social Robotics. 12:1251-1263 |
| ISSN: | 1875-4805 1875-4791 |
| Popis: | Scene understanding is a fundamental challenge for intelligent robots, especially for social robots, which are expected to have a human-like perception, comprehension, and knowledge. This paper proposes an approach to enable robots not only to detect objects in a scene but also to understand and reason the working environments. The proposed method contains three parts, which are object detection, object semantic comprehension, and feedback on robotic comprehension. Semantic comprehension is based on dictionary definitions of objects. The category, function, property, and composition of the detected objects are analyzed. These four elements are used to assist the robot in comprehending the target object in details. The experiment part of this paper discusses the applicability of the proposed method on robots. |
| Databáze: | OpenAIRE |
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