Abstract
This paper presents the optimization of the task placement to achieve energy efficiency in a parallel manipulator. The proposed approach is based on the parametrization of the task whose position and orientation are varied within the workspace of the robot. The energy consumed by the actuators is considered as the cost function for the optimization problem and is computed on the basis of the dynamic and electro-mechanical models of the manipulator. The method is general and can be used as an off-line tool for the optimal placement of different tasks within the workspace of the parallel manipulator.
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References
Merlet, J.P.: Parallel Robots, vol. 128. Springer, Cham (2006)
Mo, J., Shao, Z.F., Guan, L., Xie, F., Tang, X.: Dynamic performance analysis of the X4 high-speed pick-and-place parallel robot. Robot. Comput. Integr. Manuf. 46, 48–57 (2017)
Vidoni, R., Boscariol, P., Gasparetto, A., Giovagnoni, M.: Kinematic and dynamic analysis of flexible-link parallel robots by means of an ERLS approach. In: ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conferences, pp. 1449–1458. ASME Digital Collection (2012)
Tang, X.: An overview of the development for cable-driven parallel manipulator. Adv. Mech. Eng. 6, 823028 (2014)
Scalera, L., Gasparetto, A., Zanotto, D.: Design and experimental validation of a 3-DOF underactuated pendulum-like robot. IEEE/ASME Trans. Mechatron. 25(1), 217–228 (2020)
Carabin, G., Wehrle, E., Vidoni, R.: A review on energy-saving optimization methods for robotic and automatic systems. Robotics 6(4), 39 (2017)
Chen, C.T., Liao, T.T.: A hybrid strategy for the time-and energy-efficient trajectory planning of parallel platform manipulators. Robot. Comput. Integr. Manuf. 27(1), 72–81 (2011)
Khoukhi, A., Baron, L., Balazinski, M.: Constrained multi-objective trajectory planning of parallel kinematic machines. Robot. Comput. Integr. Manuf. 25(4–5), 756–769 (2009)
Zhang, X., Ming, Z.: Trajectory planning and optimization for a Par4 parallel robot based on energy consumption. Appl. Sci. 9(13), 2770 (2019)
Scalera, L., Palomba, I., Wehrle, E., Gasparetto, A., Vidoni, R.: Natural motion for energy saving in robotic and mechatronic systems. Appl. Sci. 9(17), 3516 (2019)
Barreto, J.P., Corves, B.: Resonant delta robot for pick-and-place operations. In: IFToMM World Congress on Mechanism and Machine Science, pp. 2309–2318. Springer (2019)
Scalera, L., Carabin, G., Vidoni, R., Wongratanaphisan, T.: Energy efficiency in a 4-DOF parallel robot featuring compliant elements. Int. J. Mech. Control 20(02) (2019)
Nelson, B., Donath, M.: Optimizing the location of assembly tasks in a manipulator’s workspace. J. Robot. Syst. 7(6), 791–811 (1990)
Pamanes, G.J.A., Zeghloul, S.: Optimal placement of robotic manipulators using multiple kinematic criteria. In: Proceedings of the IEEE International Conference on Robotics and Automation, pp. 933–938 (1991)
Feddema, J.T.: Kinematically optimal robot placement for minimum time coordinated motion. In: Proceedings of the IEEE International Conference on Robotics and Automation, vol. 4, pp. 3395–3400 (1996)
Aspragathos, N.A., Foussias, S.: Optimal location of a robot path when considering velocity performance. Robotica 20(2), 139–147 (2002)
Kamrani, B., Berbyuk, V., Wäppling, D., Stickelmann, U., Feng, X.: Optimal robot placement using response surface method. Int. J. Adv. Manuf. Technol. 44(1–2), 201–210 (2009)
Ur-Rehman, R., Caro, S., Chablat, D., Wenger, P.: Multi-objective path placement optimization of parallel kinematics machines based on energy consumption, shaking forces and maximum actuator torques: application to the Orthoglide. Mech. Mach. Theory 45, 1125–1141 (2010)
Boschetti, G., Rosa, R., Trevisani, A.: Optimal robot positioning using task-dependent and direction-selective performance indexes: general definitions and application to a parallel robot. Robot. Comput. Integr. Manuf. 29, 431–443 (2013)
Doan, N.C.N., Lin, W.: Optimal robot placement with consideration of redundancy problem for wrist-partitioned 6R articulated robots. Robot. Comput. Integr. Manuf. 48, 233–242 (2017)
Hassan, M., Liu, D., Paul, G.: Collaboration of multiple autonomous industrial robots through optimal base placements. J. Intell. Robot. Syst. 90(1–2), 113–132 (2018)
Valsamos, C., Wolniakowski, A., Miatliuk, K., Moulianitis, V.C.: Optimal placement of a kinematic robotic task for the minimization of required joint velocities. Int. J. Mech. Control 20, 3–14 (2019)
Boscariol, P., Scalera, L., Gasparetto, A.: Task-dependent energetic analysis of a 3 DOF industrial manipulator. In: International Conference on Robotics in Alpe-Adria Danube Region, pp. 162–169. Springer, Cham (2019)
Scalera, L., Boscariol, P., Carabin, G., Vidoni, R., Gasparetto, A.: Enhancing energy efficiency of a 4-DOF parallel robot through task-related analysis. Machines 8(1), 10 (2020)
Pierrot, F., Nabat, V., Company, O., Krut, S., Poignet, P.: Optimal design of a 4-DOF parallel manipulator: from academia to industry. IEEE Trans. Robot. 25, 213–224 (2009)
Cook, C.C., Ho, C.Y.: The application of spline functions to trajectory generation for computer-controlled manipulators. In: Computing Techniques for Robots, pp. 101–110. Springer, Boston (1984)
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Scalera, L., Boscariol, P., Carabin, G., Vidoni, R., Gasparetto, A. (2021). Optimal Task Placement for Energy Minimization in a Parallel Manipulator. In: Lovasz, EC., Maniu, I., Doroftei, I., Ivanescu, M., Gruescu, CM. (eds) New Advances in Mechanisms, Mechanical Transmissions and Robotics . MTM&Robotics 2020. Mechanisms and Machine Science, vol 88. Springer, Cham. https://doi.org/10.1007/978-3-030-60076-1_2
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