Improving Robot Navigation and Obstacle Avoidance using Kinect 2.0

Kinect is a low-cost controller-free device, originally designed for gaming and entertainment. This work presents a solution using the most recent version of Kinect sensor, which has got significant improvement in several ways in comparison with earlier versions, to cope with one important aspect of...

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Veröffentlicht in:Digest book (International Conference on Robotics and Mechatronics. Online) S. 486 - 489
Hauptverfasser: Basiri, Amin, Oskoei, Mohammadreza A., Basiri, Anahid, Shahri, Alireza Mohammad
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.10.2017
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ISSN:2572-6889
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Abstract Kinect is a low-cost controller-free device, originally designed for gaming and entertainment. This work presents a solution using the most recent version of Kinect sensor, which has got significant improvement in several ways in comparison with earlier versions, to cope with one important aspect of autonomous mobile robotics, obstacle avoidance. Modeling the environment based on the point cloud extracted from the depth image data as well as an obstacle avoidance method using the straight line segments and circle arcs, were the main focus of the paper. The environment is represented by a set of polygons and the obstacle avoidance algorithm attempts to find a collision-free path from the current position of the robot to the target pose subject to the shortest possible path considering a safeguard. The whole algorithm was implemented and simulated in V-rep software. A mobile robotic platform based on Pioneer This motivated using the Kinect 2 sensor to extend the ability to detect obstacles and hence to improve the local path planner and obstacle avoidance components.
AbstractList Kinect is a low-cost controller-free device, originally designed for gaming and entertainment. This work presents a solution using the most recent version of Kinect sensor, which has got significant improvement in several ways in comparison with earlier versions, to cope with one important aspect of autonomous mobile robotics, obstacle avoidance. Modeling the environment based on the point cloud extracted from the depth image data as well as an obstacle avoidance method using the straight line segments and circle arcs, were the main focus of the paper. The environment is represented by a set of polygons and the obstacle avoidance algorithm attempts to find a collision-free path from the current position of the robot to the target pose subject to the shortest possible path considering a safeguard. The whole algorithm was implemented and simulated in V-rep software. A mobile robotic platform based on Pioneer This motivated using the Kinect 2 sensor to extend the ability to detect obstacles and hence to improve the local path planner and obstacle avoidance components.
Author Basiri, Anahid
Shahri, Alireza Mohammad
Oskoei, Mohammadreza A.
Basiri, Amin
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  givenname: Amin
  surname: Basiri
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  organization: Engineering Qazvin Islamic Azad, Faculty of Computer and Information Technology, University Qazvin, Iran
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  givenname: Mohammadreza A.
  surname: Oskoei
  fullname: Oskoei, Mohammadreza A.
  organization: Department of Computer Science, Allameh Tabataba'i, University (ATU), Tehran, Iran
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  givenname: Anahid
  surname: Basiri
  fullname: Basiri, Anahid
  organization: Centre for Advanced Spatial Analysis (CASA), University College London (UCL), London, The UK
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  givenname: Alireza Mohammad
  surname: Shahri
  fullname: Shahri, Alireza Mohammad
  organization: Electrical Engineering Department, Iran University of Science and Technology
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Snippet Kinect is a low-cost controller-free device, originally designed for gaming and entertainment. This work presents a solution using the most recent version of...
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StartPage 486
SubjectTerms Cameras
Collision avoidance
Kinect 2
Navigation
obstacle avoidance
Robot navigation
Robot vision systems
Three-dimensional displays
Title Improving Robot Navigation and Obstacle Avoidance using Kinect 2.0
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