Hybrid Visual Servoing Control for Underwater Vehicle Manipulator Systems With Multiple Cameras

To realize underwater accurate vision-based operations, this article proposes a hybrid visual servoing control scheme for underwater vehicle manipulator systems (UVMSs) toward a moving target. First, the position-based visual servoing (PBVS) scheme is purposed based on the binocular camera. Second, to reduce the influence of hand-eye system uncertainties, an uncalibrated visual servoing (UVS) control scheme based on the monocular camera is presented. The partitioned Broyden's method is utilized to estimate the Jacobian matrix, and a modified adaptive Broyden's class method is proposed to obtain the approximation of the residual matrix. Afterward, in order to realize long range accurate operations, a novel hybrid visual servoing scheme with Jacobian matrix fusion algorithm is presented not only to combine the PBVS scheme and the UVS scheme but also to avoid the trial movements' influence. Simulations and an experiment are conducted to testify the robustness and effectiveness of the presented scheme.

Automated summary

This article proposes a hybrid visual servoing control scheme for underwater vehicle manipulator systems (UVMSs) to achieve accurate vision-based operations in underwater environments. The scheme combines a position-based visual servoing (PBVS) scheme using a binocular camera and an uncalibrated visual servoing (UVS) control scheme using a monocular camera. The proposed scheme also includes a Jacobian matrix fusion algorithm to enable accurate long-range operations and minimize the influence of trial movements.