Task classification in multi-role robotic systems for independent living

Tao Cao*, Xiao Guo, Dayou Li, Carsten Mapple, Yong Yue

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review


Homecare robots aiming at supporting the elderly independently living are necessary for aging society. Such kind robots must have multi-role with various capability to provide essential services, such as laundry, setting up table and preparing dinner. Each of these services is a task to be fulfilled from the view point of homecare robots. Understanding each task and being able to differentiate tasks are crucial for a homecare robot to successfully provide desired assistance and service to aging population. This paper introduces a Nature Language based approach to task classification. A verb-based task classifier was developed to extract tasks in the form of verbs and nouns given user's commands. A verb vector technique was then employed to classify tasks into categories according to verb clusters. Experiment results demonstrated that the proposed task classifier can successfully extract tasks from user's commands and to classify them into task categories.

Original languageEnglish
Title of host publicationIET Seminar on Assisted Living 2011
Publication statusPublished - 2011
Externally publishedYes
EventIET Seminar on Assisted Living 2011 - London, United Kingdom
Duration: 6 Apr 20116 Apr 2011

Publication series

NameIET Seminar Digest


ConferenceIET Seminar on Assisted Living 2011
Country/TerritoryUnited Kingdom


  • Human-robot interaction
  • Service robots
  • Task classification

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