A multimodal teaching advisor for sensor-enhanced robotic systems in manufacturing
Autor: | Takao Kakizaki, Kenichi Arakawa, Yoshimasa Yanagihara, Yoshinori Isoda |
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Rok vydání: | 1998 |
Předmět: |
Engineering
business.industry General Mathematics Interface (computing) Wearable computer Industrial and Manufacturing Engineering Computer Science Applications Task (project management) Operator (computer programming) Human interface device Control and Systems Engineering Human–computer interaction Embedded system Robot User interface business Bitwise operation Software |
Zdroj: | Robotics and Computer-Integrated Manufacturing. 14:263-273 |
ISSN: | 0736-5845 |
DOI: | 10.1016/s0736-5845(98)00012-x |
Popis: | A multimodal teaching advisor (MTA) has been developed for sensor-enhanced robotic systems used in manufacturing. The MTA utilizes the work-site operator’s know-how and robotic-systems information, including that from sensors, in a complementary manner. This system integrates information from various sources to carry out robotic tasks and presents this information through user interfaces that are easily understood by the operator. That is, the system integrates task specifications including tolerances, system constraints, sensory information, and operator- and robot-related information. The synthesized information is then presented in realtime to the operator at the work-site through a mobile multimodal interface. Experimental results show that this system can significantly improve total robotic system performance by ensuring a high-quality teaching task. |
Databáze: | OpenAIRE |
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