Object Location of a Humanoid Robot Based on Stereo Visual

Article Preview

Abstract:

Object location is one of the most important technology in robotics. This paper discuss a humanoid robot visual system, two computers are embedded in the humanoid robot in order to ensure real time localization of a moving object, computers are linked with each other through memolink communication module. One computer is responsible for processing the object images, estimating and predicting the states of the object; another one is used to control humanoid robot motion. Experiments show the effectiveness and robustness of the humanoid robot system.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 121-122)

Pages:

900-904

Citation:

Online since:

June 2010

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2010 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Rajpar, Altaf Hussain, Huang Qiang, Pang Yunting, et al. Location and tracking of robot end-effector based on stereo vision[A], ROBIO, 2006, pp.1140-1145, (2006).

DOI: 10.1109/robio.2006.340089

Google Scholar

[2] Pang Yunting, Huang Qiang, Zhang Weimin, et al. Real-time object tracking of a robot head based on multiple visual cues integration[A], IEEE International Conference on Intelligent Robots and Systems, pp.686-691, (2006).

DOI: 10.1109/iros.2006.282613

Google Scholar

[3] W. Wichman. Use of Optical Feedback in the Computer Control of an Arm[M]. AI memo, Stanford AI project, (1967).

Google Scholar

[4] J. Hill, W.T. Park. Real-time Control of a Robot with a Mobile Camera[A]. Proceeding of the 9th International Symposium on Industrial Robots[C]. 1979: 233-246.

Google Scholar

[5] B. Espiau, F. Chaumette, P. Rives, a New Approach to Visual Servoing in Robotics[J], IEEE Transactions on Robotics and Automation, 1992, 8(3): 313-326.

DOI: 10.1109/70.143350

Google Scholar

[6] P. Robert, F. G. Roderic, and H. F. Andrew, Re-Using Schematic Grasping Policies[A], Proc. IEEE-RAS Conf. Humanoid Robots, pp.141-147, (2005).

DOI: 10.1109/ichr.2005.1573559

Google Scholar

[7] Pang Yunting, Huang Qiang, Jia Dongyong, ect. Object manipulation of a humanoid robot based on visual servoing[A], IEEE International Conference on Intelligent Robots and Systems, pp.1124-1129, (2007).

DOI: 10.1109/iros.2007.4399445

Google Scholar

[8] Taku Senoo, Aki NAmiki, Ball Control in High-speed Batting Motion using Hybrid Trajectory Generator[A], IEEE international Conf. On Robotics and Automation, (2006).

DOI: 10.1109/robot.2006.1641961

Google Scholar

[9] T. Darrell, G. Gordon, M. Harville, and J. Woodfill, Integrated perfon tracking using stereo, color and pattern detection[J], Int. Journal of Computer Vision, 37(2): 175-185, (2000).

DOI: 10.1109/cvpr.1998.698667

Google Scholar

[10] D. Kragic and H.I. Christensen, Cue integration for visual servoing[J], IEEE Trans. Robotics and Automation, 17(1): 18-26, (2001).

DOI: 10.1109/70.917079

Google Scholar