Path Planning and Co-Simulation Control of 8 DOF Anthropomorphic Robotic Arm

In this research article a kinematic equation for 8 Degrees of Freedom (DOF) anthropomorphic robotic arm was developed and it is modelled using Pro-E software and invoked in ADAMS software tool for further analysis. A cubic path planning algorithm is mathematically derived for actuating the joints and simulated using the MATLAB environment for proper joint motions. With the help of MATLAB/ADAMS Co-Simulation environment the robotic arm invoked in ADAMS model is actuated using the path planning algorithm written in MATLAB environment. The robotic arm traversed the desired trajectory effectively, which confirms the effectiveness of the path planning and control algorithm. These simulated results were used to analyse the dynamic behaviour of the robot arm and gave us a clear insight about the parameters like torque, joint position, velocity and acceleration of the robotic arm and the results have been discussed in detail. This research article is a part of a real time humanoid robot research project titled – RALA (Robot based on Autonomous Learning Algorithm). (Received in July 2015, accepted in November 2015. This paper was with the authors 1 month for 2 revisions.)

[1]  HT Luo,et al.  Co-Simulation Control of Robot Arm Dynamics in ADAMS and MATLAB , 2013 .

[2]  Homayoun Seraji,et al.  Motion control of 7-DOF arms: the configuration control approach , 1993, IEEE Trans. Robotics Autom..

[3]  Craig Matthew Goehler,et al.  Design of a humanoid shoulder -elbow complex , 2007 .

[4]  Jamshed Iqbal,et al.  Towards Sophisticated Control of Robotic Manipulators: An Experimental Study on a Pseudo-Industrial Arm , 2015 .

[5]  N. Maru,et al.  Control of 6 DOF arm of the Humanoid Robot by Linear Visual Servoing , 2009, 2009 IEEE International Symposium on Industrial Electronics.

[6]  Helge J. Ritter,et al.  Dynamic Path Planning for a 7-DOF Robot Arm , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[7]  Beno Benhabib,et al.  A complete generalized solution to the inverse kinematics of robots , 1985, IEEE J. Robotics Autom..

[8]  Gojko Nikolić,et al.  Robotic application in neurosurgery using intelligent visual and haptic interaction , 2015 .

[9]  Reza N. Jazar,et al.  Theory of Applied Robotics: Kinematics, Dynamics, and Control , 2007 .

[10]  Aaron M. Dollar,et al.  On dexterity and dexterous manipulation , 2011, 2011 15th International Conference on Advanced Robotics (ICAR).

[11]  Junwei Han,et al.  Modeling and Simulation of 6-DOF Parallel Manipulator Based on PID Control with Gravity Compensation in Simulink/ADAMS , 2008, 2008 International Workshop on Modelling, Simulation and Optimization.

[12]  Guilin Yang,et al.  Self-Calibration of a Biologically Inspired 7 DOF Cable-Driven Robotic Arm , 2008, IEEE/ASME Transactions on Mechatronics.

[13]  G. Oriolo,et al.  Robotics: Modelling, Planning and Control , 2008 .

[14]  Jozef Ertel,et al.  INACCURACIES OF INDUSTRIAL ROBOT POSITIONING AND METHODS OF THEIR CORRECTION , 2015 .

[15]  John J. Craig Zhu,et al.  Introduction to robotics mechanics and control , 1991 .

[16]  L. Karunamoorthy,et al.  Derivation of Forward and Inverse Kinematics of 8 - Degrees of Freedom Based Bio-Inspired Humanoid Robotic Arm , 2014 .

[17]  Jon C. Thompson,et al.  Netter's Concise Orthopaedic Anatomy , 2001 .