DocumentCode :
2334718
Title :
3D relative pose estimation from distance-only measurements
Author :
Trawny, Nikolas ; Zhou, Xun S. ; Zhou, Ke X. ; Roumeliotis, Stergios I.
Author_Institution :
Univ. of Minnesota, Minneapolis
fYear :
2007
fDate :
Oct. 29 2007-Nov. 2 2007
Firstpage :
1071
Lastpage :
1078
Abstract :
In this paper, we develop an algorithm for determining the relative position and attitude of two robots moving in 3D, using only dead-reckoning and inter-robot distance measurements. From the mechanical analogue of parallel manipulators, it is known that this problem has 40 solutions when six distance measurements are available. These general solutions are not known in closed-form, and existing closed-form solutions require additional bearing sensors, or impose strong constraints on the geometric structure of the manipulator (in our case, the robots´ trajectories). This paper presents, for the first time, an efficient, algebraic algorithm to solve the relative pose using 10 distance measurements, without imposing any constraints on the robots´ motion. We further present a weighted least-squares refinement step, and validate our algorithm in various simulations, demonstrating its efficiency and accuracy.
Keywords :
algebra; distance measurement; least squares approximations; mobile robots; multi-robot systems; pose estimation; 3D relative pose estimation; algebraic algorithm; dead-reckoning; distance-only measurements; interrobot distance measurements; parallel manipulators; weighted least-squares refinement; Acoustic sensors; Distance measurement; Extraterrestrial measurements; Global Positioning System; Intelligent robots; Manipulators; Mars; Position measurement; Robot kinematics; Robot sensing systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems, 2007. IROS 2007. IEEE/RSJ International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-0912-9
Electronic_ISBN :
978-1-4244-0912-9
Type :
conf
DOI :
10.1109/IROS.2007.4399075
Filename :
4399075
Link To Document :
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