Next Article in Journal
Heat Transfer and Friction Characteristics of the Microfluidic Heat Sink with Variously-Shaped Ribs for Chip Cooling
Previous Article in Journal
Design and Field Test of a WSN Platform Prototype for Long-Term Environmental Monitoring
Article Menu

Export Article

Open AccessArticle
Sensors 2015, 15(4), 9519-9546; doi:10.3390/s150409519

A Novel Identification Methodology for the Coordinate Relationship between a 3D Vision System and a Legged Robot

State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai 200240, China
*
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M.N. Passaro
Received: 9 March 2015 / Revised: 6 April 2015 / Accepted: 14 April 2015 / Published: 22 April 2015
(This article belongs to the Section Physical Sensors)

Abstract

Coordinate identification between vision systems and robots is quite a challenging issue in the field of intelligent robotic applications, involving steps such as perceiving the immediate environment, building the terrain map and planning the locomotion automatically. It is now well established that current identification methods have non-negligible limitations such as a difficult feature matching, the requirement of external tools and the intervention of multiple people. In this paper, we propose a novel methodology to identify the geometric parameters of 3D vision systems mounted on robots without involving other people or additional equipment. In particular, our method focuses on legged robots which have complex body structures and excellent locomotion ability compared to their wheeled/tracked counterparts. The parameters can be identified only by moving robots on a relatively flat ground. Concretely, an estimation approach is provided to calculate the ground plane. In addition, the relationship between the robot and the ground is modeled. The parameters are obtained by formulating the identification problem as an optimization problem. The methodology is integrated on a legged robot called “Octopus”, which can traverse through rough terrains with high stability after obtaining the identification parameters of its mounted vision system using the proposed method. Diverse experiments in different environments demonstrate our novel method is accurate and robust. View Full-Text
Keywords: coordinate identification methodology; 3D vision system; hexapod robot coordinate identification methodology; 3D vision system; hexapod robot
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Chai, X.; Gao, F.; Pan, Y.; Qi, C.; Xu, Y. A Novel Identification Methodology for the Coordinate Relationship between a 3D Vision System and a Legged Robot. Sensors 2015, 15, 9519-9546.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top