We present an efficient obstacle avoidance control algorithm for redundant manipulators using a new measure called collidability measure. Considering moving directions of manipulator links, the collidability measure is defined as the sum of inverse of predicted collision distances between links and obstacles: This measure is suitable for obstacle avoidance since directions of moving links are a...

The interest for the intelligent vehicle field has been increased during the last years, must probably due to an important number of road accidents. Many accidents could be avoided if a device attached to the vehicle would assist the driver with some warnings when dangerous situations are about to appear. In recent years, leading car developers have recorded significant efforts and support rese...

Panel 1 focused on ways to integrate salvage therapy research into existing networks and structures including government-sponsored clinical trials networks, observational cohorts, and industry-sponsored trials. Though the panel discussed a number of environments in which salvage research is hindered, it concluded that a solution to most of the obstacles must involve greater communication betwee...

Robot learning from demonstration has been successfully used, in industrial environments, to increase the speed and reduce the complexity of the programming phase. A major challenge, however, consists in enabling a robot to generalize task demonstrations to a complex dynamic environment. To tackle this problem, an approach has been proposed in [1], combining GMM/GMR and DMPs with optimal contro...

Due to several risks that involve travelling in highways, such as vehicle collision, natural disasters and other obstacles, the need of implementing an early warning system which detects obstacles to provide security has been growing in the last years. Artificial neural networks based systems have been successfully applied in obstacle detection through image processing and recognition. To addre...

In many civil and military applications, Unmanned Aerial Vehicles (UAVs) have to visit a partially-ordered set of strategic sites, often in presence of obstacles and wind. In this paper, we present a trajectory planning algorithm specially designed for this kind of mission, and possibly runnable during flight. The main idea of our approach is to proceed in three steps: paths building, sites ord...

data grid is an infrastructure that controls huge amount of data files, and provides intensive computational resources across geographically distributed collaboration. the heterogeneity and geographic dispersion of grid resources and applications place some complex problems such as job scheduling. most existing scheduling algorithms in grids only focus on one kind of grid jobs which can be data...

We review the current state of agricultural systems science, focusing in particular on the capabilities and limitations of agricultural systems models. We discuss the state of models relative to five different Use Cases spanning field, farm, landscape, regional, and global spatial scales and engaging questions in past, current, and future time periods. Contributions from multiple disciplines ha...

In Italy in 2020, only 15.5% of school building heritage was retrofitted from an energy and environmental point view. this paper, the cost-optimal method applied to two different buildings belonging same Italian cold climate zone but characterized by structural technological solutions. The research aims at defining cost-effective redevelopment solution among several ones proposed apply type. At...