This paper presents a cost-effective framework for the prototyping of vision-based quadrotor multi-robot systems, which core characteristics are: modularity, compatibility with different platforms and being flight-pro...
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Humanoid robots are a good option for rescue missions in disaster scenarios when the safety of the rescue team can be compromised. Thus, allowing saving lives without the need of risking the safety of the rescue team....
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This paper presents the application of a hybrid incremental modeling strategy (HIM) for real-time estimation of surface roughness in micromachining processes. This strategy essentially consists of two steps. First, a ...
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This paper presents the modeling of thrust force and perpendicular vibrations in micro drilling processes of five commonly used alloys (titanium-based, tungsten-based, aluminum-based and invar). The process was carrie...
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This paper presents the application of a hybrid incremental modeling strategy (HIM) for real-time estimation of surface roughness in micromachining processes. This strategy essentially consists of two steps. First, a ...
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This paper presents the application of a hybrid incremental modeling strategy (HIM) for real-time estimation of surface roughness in micromachining processes. This strategy essentially consists of two steps. First, a representative hybrid incremental model of micromachining process is obtained. The final result of this model describes output as a function of two inputs (feed per tooth quadratic and vibration mean quadratic (rms) in the Z axis) and output (surface roughness R a ). Second, the hybrid incremental model is evaluated in real time for predicting the surface roughness. The model is experimentally tested by embedding the computational procedure in a real-time monitoring system of surface roughness. The prototype evaluation shows a success rate in the estimate of surface roughness about 80%. These results are the basement for developing a new generation of embedded systems for monitoring surface roughness of micro components in real time and the further exploitation of the monitoring system at industrial level.
This paper presents a novel tablet based end-user interface for industrial robot programming (called Hammer). This application makes easier to program tasks for industrial robots like polishing, milling or grinding. I...
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This paper presents a novel tablet based end-user interface for industrial robot programming (called Hammer). This application makes easier to program tasks for industrial robots like polishing, milling or grinding. It is based on the Scratch programming language, but specifically design and created for Android OS. It is a visual programming concept that allows non-skilled programmer operators to create programs. The application also allows to monitor the tasks while it is being executed by overlapping real time information through augmented reality. The application includes a teach pendant screen that can be customized according to the operator needs at every moment.
This paper presents a multisensory system for the detection and localisation of fruits that are candidates to be harvested by a robotic manipulator. The devices that have been selected as primary sensors for this purp...
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This work presents the development of the automatic control of an articulated bus. It is describes the most relevant concepts of the architecture of perception and actuation implemented on a large wheeled vehicle, Vol...
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This paper presents the modeling of thrust force and perpendicular vibrations in micro drilling processes of five commonly used alloys (titanium-based, tungsten-based, aluminum-based and invar). The process was carrie...
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This paper presents the modeling of thrust force and perpendicular vibrations in micro drilling processes of five commonly used alloys (titanium-based, tungsten-based, aluminum-based and invar). The process was carried out by peck drilling and the influence of five parameters (drill diameter, cutting speed, feed rate, one-step feed length and total drilling length) on the behavior of the thrust force was considered. Some important mechanical and thermal properties of the work piece material were also considered in the model. Two different models were tried: the first one based on artificial neural networks and the second one based on fuzzy inference systems. Outcomes of both approaches were compared to each other and to a multiple regression model. The neural model shows not only a better goodness-of-fit but also a higher generalization capability.
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