Titlebook: ROBOT 2017: Third Iberian Robotics Conference; Volume 2 Anibal Ollero,Alberto Sanfeliu,Carlos Cardeira Conference proceedings 2018 Springer

lymphedema

Full Production Plant Automation in Industry Using Cable Robotics with High Load Capacities and Posi traditional gantry crane. This machinery has been named Cablecrane. Its purpose is to keep the same load capabilities as in traditional gantry cranes while enabling full 6 degrees of freedom (DOF) control of the payload..This means that the payload is fully controlled in position and orientation wh

RLS898

坦白

obeisance

Development of a Customized Interface for a Robotic Welding Application at Navantia Shipbuilding Comtivity of two FANUC ARCMate 100iC MIG welding robots with R-30iA controllers mounted in an 8 meters-high mobile gantry crane at Navantia company in Puerto Real, Spain. The solution designed for welding application by the University of Cadiz consists of four parts (1) a library of piece templates inc

擴(kuò)張

教唆

Cybersecurity in Autonomous Systems: Hardening ROS Using Encrypted Communications and Semantic Rulesercial software. The goal of this paper is to improve ROS security features by using encrypted communications and semantic rules to ensure a correct behavior. To encrypt communications, Advanced Encryption Standard algorithm has been applied. Then, the framework ROSRV has been used to define semanti

壯觀的游行

photopsia

背叛者

Interface Design of Haptic Feedback on Teleoperated Systemell as improve the accuracy on certain tasks like surgery. These systems offer feedback mainly based on visual information of the task performed showing relevant data of the systems used as well as their surroundings. Our proposal involves the use of haptic devices to remotely control a robot in ord

敵手

Deep Networks for Human Visual Attention: A Hybrid Model Using Foveal Visionms uses salient features of the image obtained from the information given by predefined filters. Recently, deep neural networks have been developed for recognizing thousands of objects and autonomously generate visual characteristics optimized by training with large data sets. Besides being used for