Titlebook: Control of Multiple Robots Using Vision Sensors; Miguel Aranda,Gonzalo López-Nicolás,Carlos Sagüés Book 2017 Springer International Publis

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C. Brunini,J. Moirano,H. Drewes,K. Kaniuthe in a planar environment is to use omnidirectional vision and 1D multiview models. This provides interesting properties in terms of accuracy, simplicity, efficiency and robustness. After exploring the use of the 1D trifocal tensor model, in this chapter we turn our attention to the 1D homography. T

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Miguel Aranda,Gonzalo López-Nicolás,Carlos SagüésPresents integrated treatment of multirobot coordination drawing on aspects of motion control, coordination, and computer vision.Provides novel control algorithms and system architectures to address k

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Advances in Industrial Controlhttp://image.papertrans.cn/c/image/237396.jpg

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https://doi.org/10.1007/978-3-662-04683-8ch a way that the generated vehicle trajectories are feasible, smooth, and versatile, improving over previous sinusoidal-based control works in terms of efficiency and flexibility. Furthermore, the analytical expressions for the evolution of the robot’s state are provided and used to propose a novel

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C. Brunini,J. Moirano,H. Drewes,K. Kaniuthied to a multirobot control task in which multiple robots are driven to a desired formation having arbitrary rotation and translation in a two-dimensional workspace. In particular, each robot exchanges visual information with a set of predefined formation neighbors, and performs a 1D homography-base