Research Journal of Applied Sciences

Year: 2018
Volume: 13
Issue: 3
Page No. 162 - 175

Algorithm for Object Grasp Detection

Authors : Robinson Jimenez Moreno, Mauricio Mauledoux and B. Javier Martinez

References

Fernandez, C., M.A. Vicente, C. Perez, L. Jimenez and L. Paya, 2003. [Teleoperation learning: Application to the object-grabbing processes]. Web Syst. Eng. Autom. Alicante, 1: 18-19.

Gualtieri, M., A.T. Pas, K. Saenko and R. Platt, 2016. High precision grasp pose detection in dense clutter. Proceedings of the 2016 IEEE-RSJ International Conference on Intelligent Robots and Systems (IROS’16), October 9-14, 2016, IEEE, Daejeon, South Korea, ISBN:978-1-5090-3763-6, pp: 598-605.

Jain, S. and B. Argall, 2016. Grasp detection for assistive robotic manipulation. Proceedings of the 2016 IEEE International Conference on Robotics and Automation (ICRA’16), May 16-21, 2016, IEEE, Stockholm, Sweden, ISBN:978-1-4673-8026-3, pp: 2015-2021.

Martin, J., 2015. [Algorithm of stumble (grip) depending on the tool for the robot arm IRB 120]. MSc Thesis, University of Alcala, Madrid, Spain. (In Spanish)

Redmon, J. and A. Angelova, 2015. Real-time grasp detection using convolutional neural networks. Proceedings of the 2015 IEEE International Conference on Robotics and Automation (ICRA’15), May 26-30 2015, IEEE, Seattle,Washington, ISBN:978-1-4799-6924-1, pp: 1316-1322.

Sun, C., Y. Yu, H. Liu and J. Gu, 2015. Robotic grasp detection using extreme learning machine. Proceedings of the 2015 IEEE International Conference on Robotics and Biomimetics (ROBIO’15), December 6-9, 2015, IEEE, Zhuhai, China, ISBN:978-1-4673-9675-2, pp: 1115-1120.

Trottier, L., P. Giguere and B. Chaib-Draa, 2016. Dictionary learning for robotic grasp recognition and detection. J. Eng. Appl. Sci., 1: 1-19.
Direct Link  |  

Wang, Z., Z. Li, B. Wang and H. Liu, 2016. Robot grasp detection using multimodal deep convolutional neural networks. Adv. Mech. Eng., Vol. 8,

Yon, 2016. [Algorithm for handling objects in a robot PR]. MSc Thesis, University of Chile, Santiago, Chile. (In Spanish)

Design and power by Medwell Web Development Team. © Medwell Publishing 2024 All Rights Reserved