Context-based interaction using pointing movements recognition for an intelligent home service robot

Sato, Eri; Sakurai, Shoichiro; Nakajima, Aika; Yoshida, Yoshiharu; Yamguchi, T.

doi:10.1109/roman.2007.4415204

Cited by 3 publications

(4 citation statements)

References 8 publications

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“…In the study, the authors developed a system the robot can use to predict the future behaviour of the recognized objects -for instance a person -to make decisions on the navigation path. In the field of service robots, Sato et al [15] proposed a solution to let an indoors robot pick up objects that are being pointed by a human. This task is made easier by the use of some contextual information.…”

Section: Related Workmentioning

confidence: 99%

“…Even if the studies hereby presented provide good solutions for the indoor navigation, automatic driving or ADAS systems, only in [1] the context in which the navigation is happening plays an important role. Some of the other studies presented do this just partly [10,13,15,20]. Of course, this leads to the loss of many potential information that could be used to better adapt the robot's behaviour to the situation.…”

Section: Related Workmentioning

confidence: 99%

“…For this reason, an ontology-based structure fits well in our problem, as in fact many of the proposed related works in Sec. 3 already used them [1,8,13,15,16,20,21]. Also, the context can be used to obtain a better interaction with a system of systems (in this case, an example could be that of many different vehicles on the same road): in [7] a context-aware recommeder system for such a system was proposed.…”

Section: Why To Use a Semantic Model For This Applicationmentioning

confidence: 99%

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Towards a Semantic Model of the Context of Navigation

Faruffini

Victorino

Abel

2021

Lecture Notes in Business Information Processing

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Many studies faced the problem of robot autonomous navigation in different fields, but nowadays just a few of them uses all the implicit information coming from the context in which such navigation is occurring. This results in a huge potential information loss that prevents us from adapting the robot's behaviour to each different situation it may be in. In this paper we therefore define the Context of Navigation using a semantic model built with ontologies. Then, we show what kind of inference is useful in such application. Finally, we provide a method to exploit the information coming from the context together with the control loop of the robot to better navigate it. Two application examples are provided to illustrate these concepts: a service robot and an intelligent autonomous vehicle.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Why To Use a Semantic Model For This Applicationmentioning

confidence: 99%

See 1 more Smart Citation

Towards a Semantic Model of the Context of Navigation

Faruffini

Victorino

Abel

2021

Lecture Notes in Business Information Processing

View full text Add to dashboard Cite

show abstract

“…It is assumed that the RFID tags have already been set up in this research, and the robot performs actions on an object by acquiring the necessary information that has been stored in a server [2].…”

Section: Structured Environmentmentioning

confidence: 99%