Control of Multiple Robots Using Vision Sensors (Advances in Industrial Control) - Tapa blanda

Acerca del autor

Miguel Aranda graduated in telecommunication engineering and received the Ph.D. degree in systems engineering and computer science from Universidad de Zaragoza, Spain. Currently, he is a postdoctoral researcher at Institut Pascal in Clermont-Ferrand, France. He previously held a postdoctoral researcher position at Universidad de Zaragoza, within Instituto de Investigación en Ingeniería de Aragón. His research interests include the autonomous navigation and control of mobile robots using visual sensing, and problems related with the coordinated control of multiagent systems.

Gonzalo López-Nicolás received the degree in industrial engineering and the Ph.D. degree in systems engineering and computer science from Universidad de Zaragoza, Spain. He is currently an Associate Professor with the Departamento de Informática e Ingeniería de Sistemas, Universidad de Zaragoza. He is also a Member of the Robotics, Perception and Real-Time Group and of Instituto de Investigación en Ingeniería de Aragón. His research interests are focused on visual control, multirobot systems, autonomous robot navigation, and the application of computer vision to robotics.

De la contraportada

This monograph introduces novel methods for the control and navigation of mobile robots using multiple-1-d-view models obtained from omni-directional cameras. This approach overcomes field-of-view and robustness limitations, simultaneously enhancing accuracy and simplifying application on real platforms. The authors also address coordinated motion tasks for multiple robots, exploring different system architectures, particularly the use of multiple aerial cameras in driving robot formations on the ground. Again, this has benefits of simplicity, scalability and flexibility. Coverage includes details of:

• a method for visual robot homing based on a memory of omni-directional images
• a novel vision-based pose stabilization methodology for non-holonomic ground robots based on sinusoidal-varying control inputs
• an algorithm to recover a generic motion between two 1-d views and which does not require a third view
• a novel multi-robot setup where multiple camera-carrying unmanned aerial vehicles are used to observe and control a formation of ground mobile robots and
• three coordinate-free methods for decentralized mobile robot formation stabilization.
  

The performance of the different methods is evaluated both in simulation and experimentally with real robotic platforms and vision sensors.