IEEE International Workshop on Semantic Robots (WSR 2017)

Taichung, Taiwan.

April 10-12, 2017.

 

Call For Papers

While many traditional robots are limited by a predefined set of alternatives for interactions and collaborations, one of the challenging goals in robotics and computer science is to build future robots and devices in physical or virtual forms that are multi-disciplinary in nature, connected to the world knowledge, and interact with humans to solve general as well as domain specific problems.

This workshop will gather people from industry and academia to create an opportunity to discuss how Semantic Computing can be effectively applied for smart interactions between humans and robots for problem solving, where Semantic Computing addresses the derivation, description, generation, integration, and use of the semantics (“meaning”, “context”, “intention”) of sources that may be static, dynamic, structured, semi-structured, unstructured, or a mixture of the above.

Topics

• Derivation of semantics from text, image, video and audio
• Natural language processing and understanding
• Representation, integration and use of semantics for problem solving
• Semantic human-robot and robot-robot interface
• Deep conversation between human and robots
• Big data and deep learning
• IoT and Internet operating system
• Summary and presentation of semantics
• Multi-modal robot expression
• Domain specific and general problem solving
• Linked data and semantic web
• Data integration
• Service integration
• Search
• Location based semantics
• Context-based machine vision and multimedia computing
• Context sensitive question answering
• Planning
• Creativity and learning
• Connectivity and social interaction
• Semantic software engineering
• Activity and engagement engineering
• Data, cloud and service engineering

IMPORTANT DATES

Paper submission: January 7, 2017

                       

Notification of acceptance: January 31, 2017

                                 

User Name : alex
Posted 24-10-2016 on 08:57:52 AEDT

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