Natural language based intelligent robot to advance industrial automation

Advances in Robotics & Automation

ISSN: 2168-9695

Open Access

Natural language based intelligent robot to advance industrial automation

World Congress on Industrial Automation

July 20-22, 2015 San Francisco, USA

Emdad Khan

Posters-Accepted Abstracts: Adv Robot Autom

Abstract :

Automation had started in the late 18th century with mechanization of textile industry, and initiated the first industrial revolution. It then continued, and started the second industrial revolution in early 20th century when Henry Ford mastered the moving assembly line and ushered in the age of mass production. The first two industrial revolutions made people richer and more urban. The biggest benefit of automation is that it saves labor. However, it is also usedto save energy & materials and to improve quality, accuracy and precision. Now a third revolution is under way. Manufacturing is going digital. And what would be the next We believe it will be Intelligent Agent based robots that will take industrial automation to the next level. Such robots will also communicate more naturally with human and machine. The dominant mechanism for natural communication is Natural Language. This talk will focus on the key issues of robots to drive industrial / manufacturing automation. It will discuss specifically NLP (Natural Language Processing) Algorithms and Intelligent Agent (IA) - the two core components of future automation. NLP is very important for the best HCI (Human Computer Interaction): Natural language based interaction, in general, is the most preferred communication with man as well as machine. Clearly understanding user's input by IA is also the key to take necessary actions. The core to NLP is a "Semantic Engine" that can understand the semantics, and is critical for any complex NLP based applications using. We will discuss a Semantic Engine using Brain-Like Approach (SEBLA) and associated NLP & Natural Language Understanding (NLU) based approach to address the key problems of intelligent robot based automation. SEBLA based NLU (SEBLA-NLU) resembles human Brain-Like and Brain-Inspired algorithms and hence is good at dealing with natural language based interactions. In fact, SEBLA and IA are also very critical to solve most Big Data problems,especially when data is dominated by text. Our proposed SEBLA and IA base solution would make it much easier to effectively use robots by non-technical, semiliterate, illiterate as well as by technical people.

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