Geometric parameter identification of a dual-arm robot by using closed-chain constraint and optimization technique

Abstract

The positioning accuracy of the empirical robot manipulators is determined by various factors, such as kinematic accuracy, structure rigidity, and controller performance. Here, we report on the development of a new and straightforward technique to calibrate the kinematic parameters of a dual-arm robot under uncertainty. In comparison with other techniques, which generally rely on using other instruments to calibrate the manipulators, the proposed method utilizes the intrinsic characteristics of the dual-arm robot for calibration. In particular, when the two arms grasp each other, a formed closed chain can be operated as the constraint equation for the kinematic parameter optimization of the two arms. In the optimization process, the dual-arm robot has to pose in various configurations to yield better performance, and thus a motion generation strategy of the dual-arm robot is proposed, where one arm serves as the master to track the designated trajectory and the other arm serves as the slave to track the motion of the master arm by using a compliance control strategy. The proposed calibration method was experimentally validated, and the results confirm that the positioning accuracy of both arms can be improved.

Keywords

Dual-arm robot calibration parameters identification compliance control position accuracy

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References

Zhang

Cao

et al.

Kinematics and dynamics of a novel hybrid manipulator. Proc IMechE, Part C: J Mechanical Engineering Science 2016; 230: 1644–1657.

Bai

Mei

Huang

et al.

Kinematic calibration of Delta robot using distance measurements. Proc IMechE, Part C: J Mechanical Engineering Science 2016; 230: 414–424.

Fang

Dang

. A step identification method of joint parameters of robots based on the measured pose of end-effector. Proc IMechE, Part C: J Mechanical Engineering Science 2015; 229: 3218–3233.

Craig

. Introduction to robotics: Mechanics and control, 3rd ed. Upper Saddle River, NJ: Pearson Prentice Hall, 2005.

Karan

Vukobratovic

. Calibration and accuracy of manipulation robot models—An overview. Mech Mach Theory 1994; 29: 479–500.

Mooring

Roth

Driels

. Fundamentals of manupulator calibration, New York: Wiley, 1991.

Roth

Mooring

Ravani

. An overview of robot calibration. IEEE J Robot Autom 1987; 3: 377–385.

Hayati

Mirmirani

. Improving the absolute positioning accuracy of robot manipulators. J Robot Syst 1985; 2: 397–413.

Veitschegger

. Robot accuracy analysis based on kinematics. IEEE J Robot Autom 1986; 2: 171–179.

10.

Nubiola

Bonev

. Absolute calibration of an ABB IRB 1600 robot using a laser tracker. Robot Comput-Integr Manuf 2013; 29: 236–245.

11.

Nubiola

Bonev

. Absolute robot calibration with a single telescoping ballbar. Precis Eng 2014; 38: 472–480.

12.

Joubair

Bonev

. Non-kinematic calibration of a six-axis serial robot using planar constraints. Precis Eng 2014; 40: 325–333.

13.

Wang

Chang

. Kinematic calibration of manipulator using single laser pointer. IEEE/RSJ international conference on intelligent robots and systems (IROS), New York: IEEE, 2012, pp. 426–430.

14.

Sun L, Liu J, Sun W, et al. Geometry-based robot calibration method. In: IEEE international conference on robotics and automation (ICRA), New York: IEEE, 2004.

15.

Park

I-W

Lee

B-J

Cho

S-H

et al.

Laser-based kinematic calibration of robot manipulator using differential kinematics. IEEE/ASME Trans Mechatron 2012; 17: 1059–1067.

16.

Bonitz

Hsia

. Calibrating a multi-manipulator robotic system. IEEE Robot Autom Magaz 1997; 4: 18–22.

17.

Guizzo

Deyle

. Robotics trends for 2012. IEEE Robot Autom Magaz 2012; 19: 119–123.

18.

ABB Robotics. YuMi. http://www.bostondynamics.com/robot_Atlas.html.

19.

Rethink Robotics. Baxter. http://www.rethinkrobotics.com/baxter/.

20.

DLR Robotics and Mechatronics Center. Rollin’ Justin. http://www.dlr.de/rm/en/desktopdefault.aspx/tabid-5471/.

21.

Chou CK, Yang WT and Lin PC. Dual-arm object manipulation by a hybrid controller with Kalman-filter-based inputs fusion. In: International automatic control conference (CACS), Kaohsiung: IEEE, 2014, pp.308–313.

22.

Yang

Chan

et al.

An optimization technique for identifying robot manipulator parameters under uncertainty. SpringerPlus 2016; 5: 1771–1771.

23.

Sadun

Jalani

Sukor

. An overview of active compliance control for a robotic hand, Malaysia: Universiti Tun Hussein Onn Malaysia, 2014.

24.

Southern

Lyons

. The study of a passive accommodation device in robotic insertion processes. J Mater Process Technol 2002; 124: 261–266.

25.

Wang

Loh

RNK

. Passive compliance versus active compliance in robot-based automated assembly systems. Ind Robot 1998; 25: 48–57.

26.

Shetty BR and Ang MHJ. Active compliance control of a PUMA 560 robot. In: IEEE international conference on robotics and automation (ICRA), New York: IEEE, 1996, pp.3720–3725.

27.

Motoi

Shimono

Kubo

et al.

Force-based variable compliance control method for bilateral system with different degrees of freedom. In: IEEE international workshop on advanced motion control (AMC), New York: IEEE, 2012, pp. 1–6.

28.

Motoi

Shimono

Kubo

et al.

Task realization by a force-based variable compliance controller for flexible motion control systems. IEEE Trans Ind Electron 2014; 61: 1009–1021.

29.

Ang

MHJ

Andeen

. Specifying and achieving passive compliance based on manipulator structure. IEEE Trans Robot Autom 1995; 11: 504–515.

30.

Dorf

Bishop

. Modern control systems, 12th ed. Upper Saddle River, NJ: Pearson Prentice Hall, 2011.