Design and development of an effective ball catching robotic arm with 3DOF
Pages 770 - 777
Abstract
This paper presents a ball catching robotic arm system with 3DOF assembled from the commercially available parts. In the previous research work complex system were designed. We have designed a very simple arm and take the results of catching ball at different angles i.e we throw the ball towards robotic arm at different angles (40°,45°,50° and 60°) and get the results in our analysis we observed that the proposed system given its best results when the ball is thrown towards it at 40°. In this system, camera system is use to perceive the trajectory of the ball, the system detects the ball with the help of a fast mean shift algorithm. It calculates the shift of the mean of the identified color intensity and according to that it sends the control commands over the serial port to the robotic arm. The basic objective to catch the flying object at the expected location. After the analysis it is observed that the catcher robotic arm can catch the ball thrown to it from 5--6 meter with an average success rate of 70--75% when throw at 40° towards the arm.
References
[1]
T. Koivo and A. J. Koivo," Catchability of a Moving Object by a Robot", IEEE/ICMC Proceedings of International Conference on Man and Cybernetics Systems, pp 2911--2916 Vol. 3 2005.
[2]
Christian Smith and Henrik I Christensen," Constructing a High Performance Robot from Commercially Available Parts" IEEE/RAS Robotics and Automation Magazine, Vol 16:4, pp. 75--83, Dec 2009.
[3]
U. Frese et al.," Off-the-Shelf Vision for a Robotic Ball Catcher", IEEE/RSJ International Conference on Intelligent Robots and Systems, pp 1623--1629 vol.3, 2001
[4]
B. Hove and J. Slotine, "Experiments in robotic catching," in Proceedings of the 1991 American Control Conference, 1991, pp. 380--385.
[5]
W. Hong and J. Slotine, "Experiments in hand-eye coordination using active vision," in Proceedings of the Fourth International Symposium on Experimental Robotics, ISER95, 1995.
[6]
M. Riley and C. G. Atkeson, "Robot catching: Towards engaging human-humanoid interaction," Autonomous Robots, vol. 12, pp. 119--128, 2002.
[7]
C. Smith and H. I. Christensen, "Using COTS to construct a high performance robot arm," in Proc. of the IEEE Intern. Conf. on Robotics and Automation, 2007.
[8]
G. Batz, et al., "Dynamic manipulation: Nonprehensile ball catching" in Proc. of the IEEE Mediterranean Conf. on Control and Automation, 2010.
[9]
K. Nishiwaki at al. "The humanoid saika that catches a thrown ball," in Proceedings of the IEEE International Workshop on Robot and Human Communication, 1997, pp. 94--99.
[10]
Bradski, G. R.et al. "Computer Vision Face Tracking For Use in a Perceptual User Interface", Microcomputer Research Lab, Santa Clara, CA, Intel Corporation, 1998.
[11]
Cheng. Y, "Mean shift, mode seeking, and clustering". IEEE Transactions on Pattern Analysis and Machine Intelligence, pp 790--799 vol 7, 1995.
[12]
Fukunaga, K. & Hostetler, L. (1975). The estimation of the gradient of a density function, with applications in pattern recognition. IEEE Transactions on Information Theory, pp 32--40 vol 21, 1975
[13]
R. O. Duda and P. E. Hart, "Use of the Hough transformation to detect lines and curves in pictures," Comm. of the ACM, vol. 15, pp. 11--15, 1972.
[14]
C. Kimme et al, "Finding circles by an array of accumulators," Comm. of the ACM, vol. 18, pp. 120--122, 1975.
[15]
H. Yuen et al. "A comparative study of Hough transform methods for circle finding," in Proc. of the Alvey Vision Conf., 1989.
[16]
Oliver Birbach et al.," Real-time Perception for Catching a Flying Ball with a Mobile Humanoid" (ICRA), 2011 IEEE International Conference on Robotics and Automation, pp 5955--5962, May 2011
[17]
Giorgio C. Buttazzo et al, "Mousebuster: a robot system for catching fast moving objects by vision", IEEE/ICRA, Proceedings IEEE International Conference on Robotics and Automation, 932--937, Vol.3, Pisa, 1993
[18]
Rajeev Sharma et al, "Dynamic Robot Manipulation Using Visual Tracking", IEEE/ICRA, Proceedings IEEE International Conference on Robotics and Automation, 1844--1849, Vol.2, Nice France, 1992
[19]
S. Kajikawa et al, "Analysis of Human Arm Movement for Catching a Moving Object", IEEE/SMC, Conference Proceedings IEEE International Conference on Systems, Man, and Cybernetics, 698--703 Vol.2, 1999
[20]
H. Y. Chung et al," A Novel Quadrilateral-based Tracking Method", IEEE/ICARCV, ICARCV 2002. 7th International Conference on Control, Automation, Robotics and Vision, 282--285 vol.1, 2002
[21]
Berthold Bauml et al, "Kinematically Optimal Catching a Flying Ball with a Hand-Arm-System", IEEE/RSJ, International Conference on Intelligent Robots and Systems, October 18--22, 2010, Taipei, Taiwan
- Design and development of an effective ball catching robotic arm with 3DOF
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Published: 26 October 2012
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