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Use of underactuated fingers to conduct precision, in-hand manipulation is a common topic of recent robotics research, mostly due to their relatively light weight and simplicity of use. Grasping operations are facilitated by compliant joints however precise, in-hand manipulation is more challenging since post-grasp orientation of an object varies. Underactuated, robotic-fingered hands that are capable...
A new generation of humanoid robots is emerging to work together with, or even replace, human operators performing complex dextrous manipulation operations in a variety of applications such as health and elder care, hazardous or high-risk environments, telemedicine, or manufacturing. To meet the challenging operational requirements of such applications, this new generation of humanoid robots should...
Humans sense of touch consists in a complexity of sensors and nervous system. The information inferred by this system enables the daily dexterous manipulation tasks. In biological systems, there is no conscious prioritization of sensors while performing tactile exploration and the selection of exploratory movements is driven by learning instincts and data gathered by previous movements. The development...
The paper discusses signal processing and mechatronics solutions for tactile object recognition using robotic hands. The two important aspects analyzed are the recognition of objects from tactile displacement profiles obtained by force sensing transducers and the recognition of textures using a rubbing motion executed by a robotic finger equipped with a dynamic tactile fingertip. Neural network solutions...
This article presents a system for tracking the position of objects within a smart home to support a robot assistant in pick-and-place tasks. The current system is capable of estimating the position of an object using the signal strength received by a mobile device in a ZigBee sensor network. Received strength signal indication measurements were done in laboratory for applying a estimation method...
A RSSI-based localization system on a home wireless sensor network is proposed in this work. In order to support a robot assistant in pick-and-place tasks, our current system is capable of estimating the localization of an object using the signal strength received by a mobile device in a ZigBee sensor network. Two models were utilized (a) log-distance path loss - model in which signal lost has a random...
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