Robotics solutions properly sized with suitable modularized structure and well adapted to local conditions of dangerous unstructured areas can greatly improve the safety of personnel as well as the work efficiency, ...

La eliminación de minas antipersona es un problema de dimensión internacional que requiere del empleo de nuevas tecnologías tales como el desarrollo de sensores avanzados y el empleo eficiente de robots móviles. ...

The study of Zero-moment point (ZMP) in ROBOCLIMBER (quadruped walking and climbing robot) was realized and calculated in real time during statically postural and dynamically balanced gait. Force sensor with strain gages ...

The motivation of this research was to explore the feasibility of detecting and locating fruits from different kinds of crops in natural scenarios. To this end, a unique, modular and easily adaptable multisensory system ...

En este artículo se presenta el prototipo de una aplicación móvil denominada TEUBICA, que proporciona a las personas con discapacidad visual (PcDV) la capacidad de conocer el lugar donde se encuentra, brindándole un mejor ...

This paper describes the perception system for an automatic articulated bus where an accurate tracking trajectory is desired. Among the most promising transport infrastructures of the autonomous or semi-autonomous ...

This paper presents the experimental results obtained throughout the outdoor testing of a sensory tracking system specifically designed as part of a training tool for improving the utilisation of hand-held detectors. The ...

This paper presents several results regarding the lateral and longitudinal control systems that have been applied for the automation of an articulated bus, using a rolling wheeled box system with special design that moves ...

Bus Rapid Transit systems as well as Intelligent Transport Systems are being subject of research since many years. Nowadays with highly developed instrumentation, sensing and actuation technologies it is possible to foresee ...

This paper proposes a sequential masking algorithm based on the K-means method that combines RGB and multispectral imagery for discrimination of Cabernet Sauvignon grapevine elements in unstructured natural environments, ...