2008
DOI: 10.1007/978-3-540-87656-4_80
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Modelling of Modular Robot Configurations Using Graph Theory

Abstract: Abstract. Modular robots are systems that can change its geometry or configuration when connecting more modules or when rearranging them in a different manner to perform a variety of tasks. Graph theory can be used to describe modular robots configurations, hence the possibility to determine the flexibility of the robot to move from one point to another. When the robot's configurations are represented in a mathematical way, forward kinematics can be obtained.

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Cited by 6 publications
(4 citation statements)
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“…Future studies will address the verification of omnidirectional mobility based on the phasor-like notation and will assess the practical advantages and disadvantages of different modular robot configurations combining omni and mecanum wheels [23,65,66]. Additional work will also analyze the possibility of a direct application of the phasor-like notation to correct the systematic odometry errors of omnidirectional mobile robots [61].…”
Section: Conclusion and Future Scopementioning
confidence: 99%
“…Future studies will address the verification of omnidirectional mobility based on the phasor-like notation and will assess the practical advantages and disadvantages of different modular robot configurations combining omni and mecanum wheels [23,65,66]. Additional work will also analyze the possibility of a direct application of the phasor-like notation to correct the systematic odometry errors of omnidirectional mobile robots [61].…”
Section: Conclusion and Future Scopementioning
confidence: 99%
“…Ref. [30] showed a graph-theorybased representation of multi-module configurations; this worked with explicitly defined docking-connection lists.…”
Section: Previous Workmentioning
confidence: 99%
“…Robots effectively see its neighbors using sensor systems [6, Chapter 5] such as infrared or ultrasound sensors. Navigation of a robot can be studied in a graph-structured framework [1,2]. The navigating agent can be assumed to be a point robot which moves from node to node of a "graph space".…”
Section: Introductionmentioning
confidence: 99%