Experimental Object Manipulation of Assistive Robotic Arm for Pick and PlaceTask

Subject Areas : Journal of Computer & Robotics

Mahdi  Yousefi Mohgaddam ¹ (Faculty of Electrical, Biomedical and Mechatronics Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran)
Farzad  Cheraghpour Samavati ² (Department of Mechanical Engineering, Pardis Branch, Islamic Azad University, Tehran, Iran)

Received: 2019-09-11 Accepted : 2021-08-16 Published : 2021-06-01

Keywords: GRASP, Dynamic modelling, force control, assistive robot, JACO,

Abstract :

For people that need total or partial assistance to perform daily tasks, assistive robots are one of the solutions. Force control of these robots when interact with human or manipulate objects, is one the challenging problems in this area. In this paper a ROS-based force control system is implemented on a JACO assistive robot for grasping tasks. This robot is specifically designed for people with upper body disorders. However, the robot can be used for public use and used for specific tasks that require high precision. To do this, we need to know exactly how the robot's internal performance works and how it is structured. It is usually achieved by designing sophisticated control techniques that meet these criteria. Advanced control architectures such as torque computation control allow tracking of desired paths with high accuracy, however, the need to integrate robotic models remains. The work presented in this study provides a basis for applying these techniques to the JACO robotic arm. The calculation is based on the Euler-Lagrange method of calculating the internal energy. The results are then analyzed to ensure the models estimated with control schemes. Therefore, more advanced analysis and control techniques can be implemented on this robotic arm. Finally, this study can be controlled by PID with respect to the torque entered to the end effector by the object so that the robotic arm can move from the initial position to the secondary position with optimum capture and torque control of all robot joints. The experimental results showed the effectiveness of proposed method to perform grasping and manipulation scenario successfully.

References:

1. Feil-Seifer, David, and Maja J. Mataric. "Defining socially assistive robotics." 9th International Conference on Rehabilitation Robotics, 2005. ICORR 2005. IEEE, (2005).


2. Van der Loos, HF Machiel, David J. Reinkensmeyer, and Eugenio Guglielmelli. "Rehabilitation and health care robotics." Springer handbook of robotics. Springer, Cham, pp. 1685-1728, (2016).


3. Kermanshahani, Amir Hossein, and Farzad Cheraghpour Samavati. "Design, Analysis and Control of the 4 Fingers Rehabilitation Robot." Journal of Rehabilitation Sciences & Research, Vol.6, No.4, pp. 160-168, (2019).


4. Udupa, Sumukha, Vineet R. Kamat, and Carol C. Menassa. "Shared autonomy in assistive mobile robots: a review", Disability and Rehabilitation: Assistive Technology, pp. 1-22, (2021).


5. Santhanaraj, Karthik Kumar, M. M. Ramya, and D. Dinakaran, "A survey of assistive robots and systems for elderly care", Journal of Enabling Technologies, Vol. 5, No.1, pp. 66-72, (2021).


6. Pană, Cristina Floriana, et al. "Fuzzy Control of the Robotic Arm for a Smart Electric Wheelchair to Assist People with Movement Disabilities", 2021 22nd International Carpathian Control Conference (ICCC), IEEE, (2021).


7. Shen, Yang, Peter Walker Ferguson, and Jacob Rosen, "Upper limb exoskeleton systems—overview", Wearable Robotics, Academic Press, pp. 1-22, (2020).


8. Cheraghpour, Farzad, et al. "FARAT1: an Upper Body Exoskeleton Robot", 2017 5th RSI International Conference on Robotics and Mechatronics (ICRoM), IEEE, (2017).


9. Shi, Di, et al. "A review on lower limb rehabilitation exoskeleton robots", Chinese Journal of Mechanical Engineering, Vol.32, No.1, pp. 1-11, (2019).


10. Wu, Wen-Chi Vivian, Rong-Jyue Wang, and Yan-An Enya Jou, "Application of Educational Robots in the Elderly English Vocabulary Learning", 2020 IEEE 20th International Conference on Advanced Learning Technologies (ICALT), IEEE, (2020).


11.  Seo, Jungwon, Mark Yim, and Vijay Kumar, "A theory on grasping objects using effectors with curved contact surfaces and its application to whole-arm grasping", The International Journal of Robotics Research, Vol.35, No. 9, pp. 1080-1102, (2016).


12. Kamali, M., S. Ali A. Moosavian, and F. Cheraghpour, "Improving grasp capabilities of KNTU hand using position & force sensors", 2014 22nd Iranian Conference on Electrical Engineering (ICEE), IEEE, (2014).


13. Mesgari, Hamed, Farzad Cheraghpour Samavati, and S. Ali A. Moosavian, "Finding the Best Grasping Point in Object Manipulation Tasks-A Comparison between GA and PSO Methods", The 8th International Conference on Informatics in Control, Automation and Robotics (ICINCO), Netherlands, pp. 199-204, (2011).


14. Campeau-Lecours, Alexandre, et al. "Kinova modular robot arms for service robotics applications", Rapid Automation: Concepts, Methodologies, Tools, and Applications, IGI global, pp. 693-719, (2019).


15. https://www.kinovarobotics.com, KINOVA™ Ultra lightweight robotic arm user guide, “Jaco² 6 DOF Advanced specification guide”, Kinova Inc., (2017).


16.  Fathzadeh, R., et al. "MRL@ Home 2014 Team Description Paper", https://fei.edu.br/rcs/2014/TeamDescriptionPapers/RoboCup@Home/MRL_AtHome_TDP_2014.pdf, (2014).


17.  Craig, John J, Introduction to robotics: mechanics and control, 3/E. Pearson Education India, (2009).


18. Lewis, F. L. "C, T. Abdallah, DM Dawson, Control of Robot Manipulators", pp.136-175, (1993).