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Image-based robotic control with unknown camera parameters and joint velocities

Changchun Hua, Yinjuan Liu, Yana Yang

发表年份
2014
引用次数
2

摘要

SUMMARY A new image-based controller is proposed for the robotic system with the joint velocity signals unavailable. The Immersion and Invariance (I&I) observer is applied to estimate the unknown velocity information. Compared with the general velocity observer, the I&I observer can estimate the unknown velocity exponentially. We consider the case that the exact camera parameters are not known. The corresponding adaptive controller is designed for the robot system and the stability is rigorously proven by using Lyapunov theorem. Finally, simulations are performed and the results show the effectiveness of the proposed control approach.

关键词

Observer (physics)Control theory (sociology)Controller (irrigation)Lyapunov functionLyapunov stabilityComputer scienceStability (learning theory)Robot manipulatorRobotArtificial intelligence

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