Reference : Towards Learning of Safety Knowledge from Human Demonstrations
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
Engineering, computing & technology : Electrical & electronics engineering
Towards Learning of Safety Knowledge from Human Demonstrations
Ertle, P. [> >]
Tokic, M. [> >]
Cubek, R. [> >]
Voos, Holger mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit > ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)]
Soeffker, D. [University of Duisburg-Essen]
IEEE/RSJ Int. Conference on Intelligent Robots and Systems IROS, Vilamoura 7-12 Oct. 2012
IEEE/RSJ International Conference on Intelligent Robots and Systems IROS
7-12 October
[en] Robotics ; Safety ; Learning
[en] Future autonomous service robots are intended
to operate in open and complex environments. This in turn
implies complications ensuring safe operation. The tenor of few
available investigations is the need for dynamically assessing
operational risks. Furthermore, a new kind of hazards being
implicated by the robot’s capability to manipulate the environment
occurs: hazardous environmental object interactions.
One of the open questions in safety research is integrating
safety knowledge into robotic systems, enabling these systems
behaving safety-conscious in hazardous situations. In this paper
a safety procedure is described, in which learning of safety
knowledge from human demonstration is considered. Within
the procedure, a task is demonstrated to the robot, which
observes object-to-object relations and labels situational data
as commanded by the human. Based on this data, several
supervised learning techniques are evaluated used for finally
extracting safety knowledge. Results indicate that Decision
Trees allow interesting opportunities.
Researchers ; Professionals ; Students

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