A boarding solution for a cable car system that limits the number of passengers allowed to enter a transport cabin has been proposed. Our analysis shows that a shorter waiting time at a particular station worsens the stability of other stations.
A multidisciplinary team at the University of Klagenfurt is due to deliver initial insights on the efficient operation of a drone-based delivery network. Doctoral student Pasquale Grippa will present the results at the Robotics: Science and Systems event taking place at MIT this week.
We highlight research issues for wireless networking in aerial systems consisting of multiple small autonomous drones. Among these challenges are video streaming, synchronization, security and safety, and interference management.
Mobile robots in explorer missions need to charge their batteries from time to time. Different policies for coordinated recharging in teams of robots are evaluated.
Mathematical expressions for bit error rates in a wireless system are derived and provide insight into interference control.
A time synchronization technique for networked devices with low-precision oscillators and low computational power is proposed and evaluated by experiments.
A newly published survey gives an overview of the characteristics and requirements of drone networks from the viewpoint of wireless communications and networking.
The airplane industry is interested in replacing heavy cables in aircraft by wireless connectivity. We are currently investigating the potential and feasibility of ultra-wideband (UWB) technology as an option for such systems.
Synchronization algorithms based on the theory of pulse-coupled oscillators are evaluated on programmable radios. It is experimentally demonstrated that the stochastic nature of coupling is a key ingredient for convergence to synchrony. We propose a distributed algorithm for automatic phase rate equalization and show that synchronization precisions below one microsecond are possible.
The convergence of binary majority consensus algorithms is studied in networks with different types of disturbances. It is shown how randomization can foster convergence.