Network control and sensig for cooperation between mobile robots
Mentor: Felipe Espinosa
Phone: (+34) 918856545
University: Universidad de Alcalá
Partner Host Institution: ASTI Mobile Robotics - 2nd year of applied research compulsory.This research line has been developed together with ASTI.The second year of applied research in ASTI is compulsory under this line.
Keywords: AGVs cooperation, AGVs formation, network control systems, wireless sensor network, indoor positioning, intelligent guidance

Network control and sensig for cooperation between mobile robots

The proposal address to the contribution of networked control systems, wireless sensor networks and industry 4.0 to the cooperation between autonomous guided vehicles (AGVs).
The possible research lines should be related to:
– Processing techniques that optimise power autonomy, as well as channel access efficiency, of wireless network sensors for AGVs positioning.
– Event-based network control techniques, ensuring stability and tracking of AGVs formation, reducing the number of the controller actions without significant degradation of the formation performance.
– Localization and mapping algorithms, context awareness navigation and trajectory planning, in the context of robotics and cooperative guidance.
– Visual-Servoing and intelligent guiding systems.

Departament: Electronics
Research Group: Electronic Engineering Applied to Intelligent Spaces and Transport Group
More Information:
Relevants projects on the area: Network optimisation of wireless sensors and networked control systems for cooperation of mobile units in intelligent environments -ALCOR- (MINECO. Ref. DPI2013-47347-C2-1-R)
Relevants publications on the area: 1.- Authors: Carlos Santos, Miguel Martínez-Rey, Felipe Espinosa, Alfredo Gardel and Enrique Santiso Title: Event-based and control for remote robot guidance: an experimental case Ref. R. Sensors-Basel 2017, 17(9), 2034. September 2017 Doi: 10.3390/s17092034
2.- Authors: M.C. Pérez-Rubio, C. Losada-Gutiérrez, F. Espinosa and others. Title: “A Realistic Evaluation of Indoor Robot Position Tracking Systems: The IPIN 2016 Competition Experience” Ref. R. Measurement (ISSN: 0263-2241). 16 November 2018. Doi: