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Local Environment Recognition System Using Modified SURF-Based 3D Panoramic Environment Map for Obstacle Avoidance of a Humanoid Robot

Authors
Kang, Tae-KooChoi, In-HwanPark, Gwi-TaeLim, Myo-Taeg
Issue Date
20-6월-2013
Publisher
SAGE PUBLICATIONS INC
Keywords
Obstacle Avoidance; 3D Panoramic Environment Map; Avoidance Motion Selection; Complexity Measure; Humanoid Robot
Citation
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, v.10
Indexed
SCOPUS
Journal Title
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS
Volume
10
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/102950
DOI
10.5772/56552
ISSN
1729-8814
Abstract
This paper addresses a local environment recognition system for obstacle avoidance. In vision systems, obstacles that are located beyond the Field of View (FOV) cannot be detected precisely. To deal with the FOV problem, we propose a 3D Panoramic Environment Map (PEM) using a Modified SURF algorithm (MSURF). Moreover, in order to decide the avoidance direction and motion automatically, we also propose a Complexity Measure (CM) and Fuzzy-Logic-based Avoidance Motion Selector (FL-AMS). The CM is utilized to decide an avoidance direction for obstacles. The avoidance motion is determined using FL-AMS, which considers environmental conditions such as the size of obstacles and available space. The proposed system is applied to a humanoid robot built by the authors. The results of the experiment show that the proposed method can be effectively applied to a practical environment.
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