Matching the Free-Vibration Response of a Delta Robot with Pick-and-Place Tasks Using Multi-Body Simulation

Nowadays one of the key aspects in the study and design of industrial robots is the energy efficiency. These robots are not only expected to perform the task accurately and rapidly but also to minimize the energy consumption. One method that has shown high potential in reducing the energy consumption of pick-and-place robots is the addition of elastic elements and the use of the natural motion of the system. In this method, the system is designed such that its free-vibration response matches the task frequency and amplitude of oscillation. Consequently, after releasing the robot from the starting position, it moves towards the end position, where the end-effector stops at the given time for the task. In this paper, we propose a method for finding the appropriate springs and the resulting motion of the mechanism using multi-body simulation and a numerical optimization. This method can be applied to different robots and springs configurations, and requires no formulation of the equations of motion.

[1]  Giovanni Carabin,et al.  A Review on Energy-Saving Optimization Methods for Robotic and Automatic Systems , 2017, Robotics.

[2]  Marcello Pellicciari,et al.  A method for reducing the energy consumption of pick-and-place industrial robots , 2013 .

[3]  R. E. Stamper,et al.  A Three Degree of Freedom Parallel Manipulator with Only Translational Degrees of Freedom , 1997 .

[4]  Burkhard Corves,et al.  Comparative Study of Serial-Parallel Delta Robots With Full Orientation Capabilities , 2017, IEEE Robotics and Automation Letters.

[5]  Burkhard Corves,et al.  A Comparative Study of Inverse Dynamics based on Clavel’s Delta robot , 2015 .

[6]  Michael Lorenz,et al.  Energy-Efficient Trajectory Planning for Robot Manipulators , 2017 .

[7]  Bengt Lennartson,et al.  Energy and peak-power optimization of time-bounded robot trajectories , 2017, 2017 13th IEEE Conference on Automation Science and Engineering (CASE).

[8]  Werner Schiehlen,et al.  Control and Experiments with Energy-Saving SCARA Robots , 2016 .

[9]  Yasutaka Nishioka,et al.  Realization of high-energy efficient pick-and-place tasks of SCARA robots by resonance , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[10]  Werner Schiehlen,et al.  Design and Control of an Energy-Saving Robot Using Storage Elements and Reaction Wheels , 2016 .

[11]  Mats Björkman,et al.  Industrial energy efficiency potentials: an assessment of three different robot concepts , 2017 .

[12]  Reymond Clavel,et al.  The Delta Parallel Robot , 1999 .

[13]  Jorge Angeles Design Challenges in the Development of Fast Pick-and-place Robots , 2013 .

[14]  Sadao Kawamura,et al.  Proposal of an Energy Saving Control Method for SCARA Robots , 2012, J. Robotics Mechatronics.

[15]  Burkhard Corves,et al.  The Concept of Natural Motion for Pick and Place Operations , 2017 .

[16]  Bengt Lennartson,et al.  AREUS — Innovative hardware and software for sustainable industrial robotics , 2015, 2015 IEEE International Conference on Automation Science and Engineering (CASE).