Increasing digitalization in manufacturing, often associated with terms like Industry 4.0 (I4.0) or Smart Manufacturing, is a topic of crucial concern for manufacturing companies. Different digital technologies (DTs) ...
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We demonstrate, for the first time, a femtosecond laser written Tm3+:KY3F10 waveguide laser at 2.3 μm in continuous-wave regime and at 1.9 µm in continuous-wave and passively Q-switched regimes by upconversion p...
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In this work, a sliding detection algorithm was proposed for a previously developed robotic hand through the utilization of force sensors. Previous works have designed several hardware architectures to filter sensor d...
In this work, a sliding detection algorithm was proposed for a previously developed robotic hand through the utilization of force sensors. Previous works have designed several hardware architectures to filter sensor data, implement dynamic control, and machine learning models for controlling the robotic fingers using a single Field Programmable Gate Arrays (FPGA) chip. In this regard, the slip detection algorithm was developed to comprise three stages, each with a low computational cost, including a moving average filter, a first-order derivative, and a peak detection algorithm. A reference model was constructed and validated through an experimental protocol employing daily use objects to create a database. Subsequently, the slip detection algorithm was mapped onto hardware utilizing previously developed floating-point arithmetic IP cores and implemented using a Zynq 7020 device. The FPGA implementation was characterized in terms of resource occupation, power consumption, execution time, and numerical error with the reference model.
Reader collisions may occur when readers interrogate tags simultaneously due to mutual interference in Radio Frequency IDentification (RFID) systems. Many state-of-the-art protocols are devoted to eliminate reader col...
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Advancements in autonomous mobile robots hinge on refining key components like mapping and path planning to address identified limitations. The local planner, crucial for obstacle avoidance, is a component of path pla...
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ISBN:
(数字)9798350393965
ISBN:
(纸本)9798350393972
Advancements in autonomous mobile robots hinge on refining key components like mapping and path planning to address identified limitations. The local planner, crucial for obstacle avoidance, is a component of path planning. The Follow the Gap Method (FGM) stands out as a simple and effective obstacle avoidance algorithm. FGM calculates possible passage points by assessing gap sizes and positions of obstacles. Our focus lies in enhancing FGM's adaptability to dynamic environments. Introducing Predictive FGM, we incorporate robot and dynamic obstacle data to forecast future gaps and obstacle states. By integrating predictive elements, the algorithm selects gaps based on anticipated changes, enabling safer navigation by predicting the states of gaps and obstacles when they are closest to the robot. Evaluation via Monte Carlo simulations and real-world experiments with an autonomous wheelchair in dynamic environments show the effectiveness of Predictive FGM over standard FGM.
作者:
Todorov Marinov, MilkoUniversity of Ruse
Faculty of Electrical Engineering Electronics and Automation Department of Computer Systems and Technologies 8 Studentska Str. Ruse7017 Bulgaria
MapReduce is a widely used programming model for processing big data. Bloom filters are spatially efficient probabilistic data structures for fast queries that tell whether an element is a member of a set and allow fa...
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Fiber-optic devices for measuring such physical quantities as pressure, displacement, acceleration, vibration, humidity and temperature have been developed. The proposed devices make it possible to increase measuremen...
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Pattern synthesise of antenna arrays is usually complicated optimization problems,while evolutionary algorithms(EAs)are promising in solving these *** paper does not propose a new EA,but does construct a new form of o...
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Pattern synthesise of antenna arrays is usually complicated optimization problems,while evolutionary algorithms(EAs)are promising in solving these *** paper does not propose a new EA,but does construct a new form of optimization *** new optimization formulation has two differences from the common *** is the objective function is the field error between the desired and the designed,not the usual amplitude error between the desired and the *** difference is beneficial to decrease complexity in some *** second difference is that the design variables are changed as phases of desired radiation field within shaped-region,instead of excitation *** difference leads to the reduction of the number of design variables.A series of synthesis experiments including equally and unequally spaced linear arrays with different pattern shape requirements are applied,and the effectiveness and advantages of the proposed new optimization problems are *** results show that the proposing a new optimization formulation with less complexity is as significant as proposing a new algorithm.
Periodical time-delay scenario is often encountered in industrial manufacturing processes. However, the presence of time delays and periodical coefficients brings challenges to controller design and system analysis, w...
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In the case of introducing the double integral state into the augmented vector, the time-varying delay square terms in the derivative of the Lyapunov-Krasovskii functional (LKF) usually needs to be treated with some n...
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