@inproceedings{fea44fae41264aa1965930b1f1637a8f,
title = "Object manipulation of a humanoid robot based on visual servoing",
abstract = "Vision is a very important noncontact sensor for humanoid robots. In this paper, a method combining visual feedforward and visual feedback is proposed to implement reach-to-grasp task for a humanoid robot. Visual feedforward facilitates the reach-to-grasp task and reduces the manipulation time. Visual feedback increases the robustness by compensating the weak calibration error. The combination of two control strategies facilitates reach-to-grasp task for a humanoid robot. The robustness of the system is confirmed by the experiment results.",
keywords = "Humanoid robot, Reach-to-grasp, Visual servoing",
author = "Yunting Pang and Qiang Huang and Dongyong Jia and Ye Tian and Junyao Gao and Weimin Zhang",
year = "2007",
doi = "10.1109/IROS.2007.4399445",
language = "English",
isbn = "1424409128",
series = "IEEE International Conference on Intelligent Robots and Systems",
pages = "1124--1129",
booktitle = "Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2007",
note = "2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2007 ; Conference date: 29-10-2007 Through 02-11-2007",
}