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 of interest include, but are not limited, to the following:
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
04月10日
2017
04月12日
2017
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