The prospect of using humanoid robots in practical applications attracts an important research effort and the latest steps forward in robot technology show many remarkable achievements where design aspects, control systems ...

Feet-ground interactions influence the legged robot's stability. In this paper, a high-resolution indirect force measurement for hydraulic-legged robots is presented. The use of pressure transducers placed at one or both ...

The paper shows the complete system architecture of a walking and climbing robot developed to make slope consolidation, where heavy duty equipment is employed for drilling up to 20m holes. ROBOCLIMBER a quadruped robot ...

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 ...

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 ...

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 ...

An approach for achieving reliable, built-in, high-accuracy force sensing for legged robots is presented, based on direct exploitation of the properties of a robot’s mechanical structure. The proposed methodology relies ...

Modern robotic systems are increasingly powerful in terms of sensor fusion and mobility. Present technological progress allows advanced robots to cope progressively much better also with complex environments such as those ...

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, ...