Abstract
We present evaluation experiments of a hand-eye calibration and camera-camera calibration method, which is applicable to cases where classical calibration methods fail. As described in our earlier works, the calibration works by performing rotational movements with the robot and estimating the rotational axes by tracking fiducial markers or other static parts of the environment (if the camera is moved with the robot, as in this experiment; otherwise tracking the robot itself or markers on it with a static camera). We extend our earlier work by virtually increasing the field of view of the cameras by using a mapping approach. We compare our results with an extended classical approach for the challenging case of calibrating a compliant humanoid robot having cameras with non-overlapping fields of view.
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References
Andreasson, H., Triebel, R., Lilienthal, A.: Vision-based interpolation of 3D laser scans. In: Proceedings of the International Conference on Autonomous Robots and Agents (ICARA) (2006)
Bäuml, B., Schmidt, F., Wimböck, T., Birbach, O., Dietrich, A., Fuchs, M., Friedl, W., Frese, U., Borst, C., Grebenstein, M., et al.: Catching flying balls and preparing coffee: humanoid rollin’ justin performs dynamic and sensitive tasks. In: International Conference on Robotics and Automation (ICRA). IEEE (2011)
Bingham, C.: An antipodally symmetric distribution on the sphere. Ann. Stat. 2, 1201–1225 (1974)
Dellaert, F.: Factor graphs and GTSAM: a hands-on introduction. Technical report, Georgia Institute of Technology (2012)
Figueroa, N.B., Schmidt, F., Ali, H., Mavridis, N.: Joint origin identification of articulated robots with marker-based multi-camera optical tracking systems. Robot. Auton. Syst. 61(6), 580–592 (2013)
Kümmerle, R., Grisetti, G., Strasdat, H., Konolige, K., Burgard, W.: G\(^{2}\)o: a general framework for graph optimization. In: International Conference on Robotics and Automation (ICRA). IEEE (2011)
Leidner, D., Borst, C., Dietrich, A., Albu-Schaeffer, A.: Classifying compliant manipulation tasks for automated planning in robotics. In: International Conference on Intelligent Robots and Systems (IROS) (2015)
Nissler, C., Marton, Z.-C.: Robot-to-camera calibration: a generic approach using 6D detections. In: 1st International Conference on Robot Computing (IRC). IEEE (2017)
Nissler, C., Marton, Z.-C., Kisner, H., Thomas, U., Triebel, R.: A method for hand-eye and camera-to-camera calibration for limited fields of view. In: International Conference on Intelligent Robots and Systems (IROS). IEEE (2017)
Olson, E.: AprilTag: a robust and flexible visual fiducial system. In: International Conference on Robotics and Automation (ICRA). IEEE (2011)
Pham, M.T., Woodford, O.J., Perbet, F., Maki, A., Stenger, B., Cipolla, R.: A new distance for scale-invariant 3D shape recognition and registration. In: 2011 International Conference on Computer Vision, pp. 145–152, November 2011
Strobl, K.H., Hirzinger, G.: Optimal hand-eye calibration. In: International Conference on Intelligent Robots and Systems (IROS). IEEE (2006)
Strobl, K.H., Hirzinger, G.: More accurate camera and hand-eye calibrations with unknown grid pattern dimensions. In: International Conference on Robotics and Automation (ICRA), pp. 1398–1405. IEEE (2008)
Teichman, A., Miller, S., Thrun, S.: Unsupervised intrinsic calibration of depth sensors via SLAM. In: Proceedings of Robotics: Science and Systems, Berlin, Germany, June 2013
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Nissler, C., Durner, M., Márton, ZC., Triebel, R. (2020). Simultaneous Calibration and Mapping. In: Xiao, J., Kröger, T., Khatib, O. (eds) Proceedings of the 2018 International Symposium on Experimental Robotics. ISER 2018. Springer Proceedings in Advanced Robotics, vol 11. Springer, Cham. https://doi.org/10.1007/978-3-030-33950-0_68
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DOI: https://doi.org/10.1007/978-3-030-33950-0_68
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