<div class="section abstract"><div class="htmlview paragraph">This paper proposes the use of an on-demand, ride hailed and ride-Shared Autonomous Vehicle (SAV) service as a feasible solution to serve mobility needs small city where fixed route, circulator type public transportation may be too expensive operate. The presented work builds upon our earlier that modeled Marysville, Ohio...

This article proposes a shared-control teleoperation architecture for robot manipulators transporting an object on tray. Differently from many existing studies about remotely operated robots with firm grasping capabilities, we consider the case in which, principle, can break its contact end-effector. The proposed approach automatically regulates remote motion commanded by user and end-effector ...

Nowadays multi-robot system getting more and more deployed in industrial settings. The usage of such a system is motivated by the fact that it allows flexible solutions which scale well with the current work load. One example of such a multi-robot system is a fleet of transport robots in a warehouse. The use of planning and scheduling algorithm allow such a fleet to maximize the throughput in t...

Cities and their transportation systems become increasingly complex and multimodal as they grow, and it is natural to wonder if it is possible to quantitatively characterize our difficulty to navigate in them and whether such navigation exceeds our cognitive limits. A transition between different searching strategies for navigating in metropolitan maps has been observed for large, complex metro...

The EC funded CyClaDes research project is designed to promote the increased impact of the human element in shipping across the design and operational lifecycle of ships. It addresses the design and operation of ships and ship systems. One of the CyClaDes’ tasks is to create a crew‐centered design case‐study examination of the information that is shared between the Bridge and En...

We address the problem of modeling and prediction of a set of temporal events in the context of intelligent transportation systems. To leverage the information shared by different events, we propose a multi-task learning framework. We develop a support vector regression model for joint learning of mutually dependent time series. It is the regularization-based multi-task learning previously deve...

Cities and their transportation systems become increasingly complex and multimodal as they grow, and it is natural to wonder whether it is possible to quantitatively characterize our difficulty navigating in them and whether such navigation exceeds our cognitive limits. A transition between different search strategies for navigating in metropolitan maps has been observed for large, complex metr...