This paper deals with kinematic calibration of the Delta robot using distance measurements. The work is mainly placed upon: (1) the error modeling with a goal to classify the source errors affecting both the compensatable and uncompensatable pose accuracy; (2) the full/partial source error identification using a set of distance measurements acquired by a laser tracker; and (3) design of a linearized compensator for real-time error compensation. Experimental results on a prototype show that positioning accuracy of the robot can significantly be improved by the proposed approach.
RothZSMooringBRavaniB. An overview of robot calibration. Int J Robot Autom1987; 3: 377–385.
2.
ElattaAGenLPZhiFL. An overview of robot calibration. Information Technology Journal2004; 3: 74–78.
3.
MajarenaACSantolariaJSamperD. An overview of kinematic and calibration models using internal/external sensors or constraints to improve the behavior of spatial parallel mechanisms. Sensors-Basel2010; 10: 10256–10297.
4.
Iura cuCCParkFC. Geometric algorithms for kinematic calibration of robots containing closed loops. J Mech Des2003; 125: 23–32.
5.
Zhuang H, Masory O and Yan J. Kinematic calibration of a Stewart platform using pose measurements obtained by a single theodolite. In: Proceedings of the IEEE/RSJ international conference on intelligent robots and systems (IROS), Pittsburgh, Pennsylvania, 5–9 August 1995, pp.329–334.
6.
Maurine P and Dombre E. A calibration procedure for the parallel robot Delta 4. In: Proceedings of the IEEE international conference on robotics and automation (ICRA), Minneapolis, Minnesota, 22–28 April 1996, pp.975–982.
7.
VischerPClavelR. Kinematic calibration of the parallel Delta robot. Robotica1998; 16: 207–218.
8.
Deblaise D and Maurine P. Effective geometrical calibration of a delta parallel robot used in neurosurgery. In: Proceedings of the IEEE/RSJ international conference on intelligent robots and systems (IROS), Alberta, Canada, 2–6 August 2005, pp.1313--1318.
9.
Corbel D, Nabat V and Maurine P. Geometrical calibration of the high speed robot Par4 using a laser tracker. In: Proceedings of the international conference on methods and models in automation and robotics (MMAR), Miedzyzdroje, Poland, 28–31 August 2006, pp.687--692.
10.
KhalilWBesnardS. Self calibration of Stewart-Gough parallel robots without extra sensors. IEEE Trans Robot Autom1999; 15: 1116–1121.
11.
Last P, Budde C and Hesselbach J. Self-calibration of the HEXA-parallel-structure. In: Proceedings of the IEEE international conference on automation science and engineering (CASE), Edmonton, Canada, 1–2 August 2005, pp.393-398.
12.
Zhu Y, Yan J, Zhao J, et al. Autonomous kinematic self-calibration of a novel haptic device. In: Proceedings of the IEEE/RSJ international conference on intelligent robots and systems (IROS), Beijin, China, 9–15 October 2006, pp.4654–4659.
Ecorchard G and Maurine P. Self-calibration of Delta parallel robots with elastic deformation compensation. In: Proceedings of the IEEE/RSJ international conference on intelligent robots and systems (IROS), Alberta, Canada, 2–6 August 2005, pp.462–467.
17.
RenaudPAndreffNLavestJ-M. Simplifying the kinematic calibration of parallel mechanisms using vision-based metrology. IEEE Trans Robot2006; 22: 12–22.
18.
Savoure L, Maurine P, Corbel D, et al. An improved method for the geometrical calibration of parallelogram-based parallel robots. In: Proceedings of the IEEE international conference on robotics and automation (ICRA), Orlanda, Florida, USA, 15–19 May 2006, pp.769–776.
19.
HuangTChetwyndDWhitehouseD. A general and novel approach for parameter identification of 6-DOF parallel kinematic machines. Mech Mach Theor2005; 40: 219–239.
20.
DaneyDMadelineBPapegayY. Choosing measurement poses for robot calibration with local convergence method and tabu search. Int J Robot Res2005; 24: 501–518.
21.
DrielsMPathreU. Significance of observation strategy on the design of robot calibration experiments. J Robot Syst1990; 7: 197–223.
