A major bottleneck in robotics research and development is the difficulty and time required to develop and implement new skills for robots to realize task-independence. In spite of work done in terms of task model transfer among robots, so far little work has been done on how to make robots task-independent. In this paper, we describe our work-in-progress towards the development of a robot social network called Numbots that draws on the principle of sharing information in human social networking. We demonstrate how Numbots has the potential to assist knowledge sharing, know-how and skill transfer among robots to realize task-independence. © 2012 Springer-Verlag.
CITATION STYLE
Wang, W., Johnston, B., & Williams, M. A. (2012). Social networking for robots to share knowledge, skills and know-how. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7621 LNAI, pp. 418–427). https://doi.org/10.1007/978-3-642-34103-8_42
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