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

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Diverticulitis

Vision-Based Control for Nonholonomic Vehicles,ect that is critical for successful real-world implementation, but often tends to be overlooked in the literature: the control inputs employed must take into account the specific motion constraints of commercial robots, and should conform with feasibility, safety, and efficiency requirements. With t

彎曲道理

Controlling Mobile Robot Teams from 1D Homographies,e 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

hermitage

ALIAS

Coordinate-Free Control of Multirobot Formations,ile allowing the agents to rely only on their independent onboard sensors (e.g., cameras), and avoiding the use of leader robots or global reference frames. However, a key observation that serves as motivation for the work presented in this chapter is that the available controllers satisfying these

不真

不真

Conclusions and Directions for Future Research,In the last chapter of the book, we provide brief concluding remarks on the contents that have been presented, and discuss a number of ideas that may be attractive to pursue in future research efforts.

florid

小蟲

978-3-319-86260-6Springer International Publishing AG 2017

顯赫的人

An Introduction to Memory Chip Design,on sensors have often been used for this purpose, supporting a behavior known as visual homing, in which the robot’s target location is defined by an image. This chapter describes a novel visual homing methodology for robots moving in a planar environment. The employed visual information consists of