Active Robot Calibration Algorithm
Document Type
Conference Proceeding
Publication Date
5-2008
Keywords
robot kinematics, computational complexity, observability, pose selection process, active robot calibration algorithm, updating algorithm, complexity reduction, observability index, robot kinematic calibration
Digital Object Identifier (DOI)
https://doi.org/10.1109/ROBOT.2008.4543379
Abstract
This paper presents a new updating algorithm to reduce the complexity of computing an observability index for kinematic calibration of robots. An active calibration algorithm is developed to include an updating algorithm in the pose selection process. Simulations on a 6-DOF PUMA robot with 27 unknown parameters shows that the proposed algorithm performs more than 50,000 times better than exhaustive search based on randomly generated designs.
Was this content written or created while at USF?
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Citation / Publisher Attribution
2008 IEEE International Conference on Robotics and Automation, Pasadena, CA, 2008, p. 1276-1281.
Scholar Commons Citation
Sun, Yu and Hollerbach, John, "Active Robot Calibration Algorithm" (2008). Computer Science and Engineering Faculty Publications. 100.
https://digitalcommons.usf.edu/esb_facpub/100
