Kinect based real time obstacle detection for legged robots in complex environments

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Abstract

Legged robots have different terrain traverse capabilities with ground vehicles. They can across steps and grooves, which are obstacles for ground vehicles. Some new challenges are posed for autonomous legged robot navigation in complex environments. In this paper, we present a Kinect based real time obstacle detection algorithm for legged robots. A graph based method is used to label all traversable areas connecting to a starting point. A spiral searching strategy is proposed to find the most ground-like point for graph based traversal. Some time efficient rules are presented to increase the calculation efficiency. Experiments in both indoor and outdoor environment have been done and the results show that our algorithm can be effectively used in autonomous legged robots navigation.

Original languageEnglish
Title of host publicationProceedings of the 2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013
Pages205-210
Number of pages6
DOIs
StatePublished - 2013
Event2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013 - Melbourne, VIC, Australia
Duration: 19 Jun 201321 Jun 2013

Publication series

NameProceedings of the 2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013

Conference

Conference2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013
Country/TerritoryAustralia
CityMelbourne, VIC
Period19/06/1321/06/13

Keywords

  • complex environment
  • legged robots
  • obstacle detection
  • real time application

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