Modeling, Identification and Control of Inverse Kinematic of PUMA Robots
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The inverse kinematics solution of robotic manipulator based on Neural Network is presented in this paper. The problem in robotics manipulators is Inverse kinematics for PUMA robotics. The structure of joint for the manipulator is not easy if traditional solutions such as algebraic, geometric, and iterative are inadequate. The proposed method yields precise and multiple solutions and it is suitable and comfortable for real – time applications. The neural network is used to solve the inverse kinematics for the arm of robotics 6-dof. This approach is essential to calculate the end-effector in space Cartesian for each joint. The identification will be done in each joint for PUMA by neural network and PID controller will be applied on each joint to get the response; then, the reference input is done by tuning the values of coefficients of PID.
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Juan Manuel Florez, Manan Shah, Eduardo Martin Moraudy, Sophie Wurthy, Laetitia Baud, Joachim Von Zitzewitzz, Rubia van den Brandz, Silvestro Miceray?, Gregoire Courtinez and Jamie Paik, Rehabilitative Soft Exoskeleton for Rodents, IEEE transactions on neural system and Rehabilitation Engineering, Vol. 25, No. 2, 2017,
Deepak Gopinath, Siddarth Jain, and Brenna D. Argall. Human-in-the-Loop Optimization of Shared Autonomy in Assistive Robotics. IEEE Robotics And Automation Letters, Vol. 2, No. 1, January 2017.
Ran Xu, Yurkewich, and Rajni V. Patel, Curvature, Torsion, and Force Sensing in Continuum Robots Using Helically Wrapped FBG Sensors, IEEE Robotics And Automation Letters, Vol. 1, No. 2, July 2016.
D. Pardo, L. Möller, M. Neunert, A. W. Winkler and J. Buchli, Evaluating Direct Transcription and Nonlinear Optimization Methods for Robot Motion Planning, in IEEE Robotics and Automation Letters, vol. 1, no. 2, pp. 946-953, July 2016.
Sivanagaraja Tatinati, Wei Tech Ang, and Kalyana C. Veluvolu, Multi-Dimensional Modeling of Physiological Tremor for Active Compensation in Hand-Held Surgical Robotics, IEEE Transactions On Industrial Electronics, Vol. 64, Issue 2, 2017.
Reem K. Al-Halimi, Medhat Moussa Performing Complex Tasks by Users With Upper-extremity disabilities Using a 6-DOF Robotic Arm: A Study, IEEE Transactions On Neural Systems And Rehabilitation Engineering, Vol.25, Issue 6, 2016.
M. Faessler, D. Falanga and D. Scaramuzza, Thrust Mixing, Saturation, and Body-Rate Control for Accurate Aggressive Quadrotor Flight, in IEEE Robotics and Automation Letters, vol. 2, no. 2, pp. 476-482, April 2017.
D. C. Fernández and G. A. Hollinger, Model Predictive Control for Underwater Robots in Ocean Waves, in IEEE Robotics and Automation Letters, vol. 2, no. 1, pp. 88-95, Jan. 2017.
W. Roozing, Z. Li, D. G. Caldwell and N. G. Tsagarakis, Design Optimisation and Control of Compliant Actuation Arrangements in Articulated Robots for Improved Energy Efficiency, in IEEE Robotics and Automation Letters, vol. 1, no. 2, pp. 1110-1117, July 2016.
A. Mazumdar et al., Synthetic Fiber Capstan Drives for Highly Efficient, Torque Controlled, Robotic Applications, in IEEE Robotics and Automation Letters, vol. 2, no. 2, pp. 554-561, April 2017.
N. Abulafya, Neural networks for system identification and control, MSc thesis, University of London, 1995.
P. Schmaus, D. Leidner, T. Kr¨uger, A. Schiele, B. Pleintinger, R. Bayer, and N. Y. Lii, Preliminary Insights from the METERON SUPVIS Justin Space-Robotics Experiment, IEEE Robotics and Automation vol. 3, Issue4 , 2018.
Clemente Lauretti, Francesca Cordella, Eugenio Guglielmell and Loredana Zollo, Learning by Demonstration for planning activities of daily living in rehabilitation and assistive robotics, IEEE Robotics And Automation, vol 2, Issue 3 pp. 1-8,, 2017.
Jessica Burgner-Kahrs, D. Caleb Rucker, and Howie Choset, Continuum Robots for Medical Applications: A Survey, IEEE Transactions On Robotics, vol. 31, Issue. 6,pp. 1261 – 1280, 2015
Denis Stogl, Oliver Armbruster, Michael Mende, Bjorn Hein, Xingbo Wang, and Patric Meyer, Robot-Based Training for People With Mild, IEEE Robotics And Automation, vol.4, Issue. 2, pp. 1916- 1923, 2019.
Frederic Boyer and Ayman Belkhiri, Erratum to Reduced Locomotion DynamicsWith Passive Internal DoFs: Application to Nonholonomic and Soft Robotics IEEE Transactions On Robotics, vol. 31, Issue. 3, 2015.
Carlos E. Agüero, Nate Koenig, Ian Chen, Hugo Boyer, Steven Peters, John Hsu, Brian Gerkey, Steffi Paepcke, Jose L. Rivero, Justin Manzo, Eric Krotkov, and Gill Pratt, Inside the Virtual Robotics Challenge: Simulating Real – Time Robotic Disaster Response, IEEE Transactions On Automation Science And Engineering, vol. 12, Issue. 2, pp. 494 – 506, 2015
Michele Giorelli, Federico Renda, arcello Calisti, Andrea Arienti, Gabriele Ferri, and Cecilia Laschi, Neural Network and Jacobian Method for Solving the Inverse Statics of a Cable-Driven Soft Arm With Nonconstant Curvature, IEEE Transactions On Robotics, vol. 31, Issue 4,pp. 823-834, 2015.
Gijo Sebastian, Zeyu Li, Vincent Crocher , Demy Kremers, Ying Tan , and Denny Oetomo, Interaction Force Estimation Using Extended State Observers: An Application to Impedance-Based Assistive and Rehabilitation Robotic, IEEE Robotics And Automation, vol. 4, Issue. 2, pp. 1156-1161,2019.
Christian Di Natali,,Jacopo Buzzi, Nicol´o Garbin, Marco Beccani,, and Pietro Valdastri, Closed-Loop Control of Local Magnetic Actuation for Robotic Surgical Instruments, IEEE Transactions On Robotics, vol. 31, Issue.1, pp. 143- 156,2015.
Yeongjin Kim, Shing Shin Cheng, Mahamadou Diakite, Rao P. Gullapalli, J. Marc Simard, and Jaydev P. Desai, Toward the Development of a Flexible Mesoscale MRI-Compatible Neurosurgical Continuum Robot, IEEE Transactions On Robotics, vol. 33, Issue 8, pp.1-12, 2017.
Morteza Lahijanian, Maria Svorenova, Akshay A. Morye, Brian Yeomans, Dushyant Rao, Ingmar Posner,Paul Newman, Hadas Kress-Gazit, and Marta Kwiatkowska, Resource-Performance Trade-off Analysis for Mobile Robot, IEEE Robotics And Automation, vol. 3, Issue 3, 2018.
Lukas Stadelmann, Timothy Sandy, Andreas Thoma and Jonas Buchli, End-Effector Pose Correction for Versatile Large-Scale Multi-Robotic Systems, IEEE Robotics And Automation, vol 4, Issue 2, 2018.
N. Abulafya, Neural networks for system identification and control, MSc thesis , University of London,pp. 1995.
T. Cakar, I. Cil, A. Kurt, Flexible manufacturing system design and determination of priority rules by using artificial networks, in: Proceedings of the 8th International Machine Design and Production Conference, Ankara, Turkey, 9-11 September 1998.
Fareh, R., Bettayeb, M., Rahman, M., Control of Serial Link Manipulator Using a Fractional Order Controller, (2018) International Review of Automatic Control (IREACO), 11 (1), pp. 29-35.
Cherifi, K., Hariche, K., Review of MIMO Minimal Realization Techniques and Case Study on SCARA Robot Manipulator, (2017) International Review of Automatic Control (IREACO), 10 (2), pp. 168-177.
Vijayan, A., Ashok, S., A MIMO Approach to Supervisory Control in Robot Visual Feedback, (2017) International Review on Modelling and Simulations (IREMOS), 10 (1), pp. 16-25.
Humaidi, A., Oglah, A., Abbas, S., Ibraheem, I., Optimal Augmented Linear and Nonlinear PD Control Design for Parallel Robot Based on PSO Tuner, (2019) International Review on Modelling and Simulations (IREMOS), 12 (5), pp. 281-291.
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