Editorial of Special Issue “Combining Sensors and Multibody Models for Applications in Vehicles, Machines, Robots and Humans”

Cuadrado, Javier; Naya, Miguel Ángel

doi:10.3390/s21196345

Cited by 2 publications

(2 citation statements)

References 10 publications

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“…Modern palletizing robots acquire trajectory parameters by human–computer interaction [ 9 , 10 , 11 ]. Moreover, different from traditional methods in optimizing objectives [ 12 ], modern methods combine sensors to optimize energy sources directly [ 13 , 14 ]. This method can reduce energy consumption and ensure the effectiveness of the trajectory.…”

Section: Introductionmentioning

confidence: 99%

Energy Saving Planner Model via Differential Evolutionary Algorithm for Bionic Palletizing Robot

Deng

Zhou

Zhao

et al. 2022

Sensors

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Energy saving in palletizing robot is a fundamental problem in the field of industrial robots. However, the palletizing robot often suffers from the problems of high energy consumption and lacking flexibility. In this work, we introduce a novel differential evolution algorithm to address the adverse effects caused by the instability of the initial trajectory parameters while reducing the energy. Specially, a simplified analytical model of the palletizing robot is firstly developed. Then, the simplified analytical model and the differential evolutionary algorithm are combined to form a planner with the goal of reducing energy consumption. The energy saving planner optimizes the initial parameters of the trajectories collected by the bionic demonstration system, which in turn enables a reduction in the operating power consumption of the palletizing robot. The major novelty of this article is the use of a differential evolutionary algorithm that can save the energy consumption as well as boosting its flexibility. Comparing with the traditional algorithms, the proposed method can achieve the state-of-the-art performance. Simulated and actual experimental results illustrate that the optimized trajectory parameters can effectively reduce the energy consumption of palletizing robot by 16%.

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Section: Introductionmentioning

confidence: 99%

Energy Saving Planner Model via Differential Evolutionary Algorithm for Bionic Palletizing Robot

Deng

Zhou

Zhao

et al. 2022

Sensors

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“…Towards-6G, millimeter-wave (mmWave) and sub-THz frequency bands [4] are envisioned to dominate, due to the availability of large bandwidth spectrum, providing more frequency resources for even larger throughput. In the same while, with higher frequencies (naturally higher free space path loss) and smaller wavelength, the cells tend to be densified and could be easily affected by moving vehicles/machines or humans [5], regardless of outdoor or indoor application scenarios. The obstruction or blockage of a communication link by machines/vehicles or humans could degrade the communication performance and could also result in inaccurate localization performance.…”

Section: Introductionmentioning

confidence: 99%

Simulation and Measurement Validation of a Finite-Length Cylindrical 3D UTD Model

Liu

Gong

Pollin

et al. 2022

IEEE Open J. Antennas Propag.

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In this paper we provide a modified 3D Uniform Theory of Diffraction (UTD) model for a finite-length cylinder, and validate the model by comparing to the simulation and the measured data. The presented finite-cylinder UTD model is adapted from the conventional infinite-cylinder model, and we additionally add edge diffraction occurring at the edge of the cap of the finite cylinder. The simulation reference is obtained from the CST simulation and the measurement reference is obtained from a vector network analyzer based channel sounder. From the numerical examples and analysis, it is shown that the modified model agrees well with the references and is more accurate than the conventional unmodified model. This study proves the importance of the edge diffraction field for finite-cylinder UTD solutions specially when 1) the transmitter and receiver are at different heights relative to the cylinder, and 2) one is below and the other is above the height of the cylinder.

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Editorial of Special Issue “Combining Sensors and Multibody Models for Applications in Vehicles, Machines, Robots and Humans”

Cited by 2 publications

References 10 publications

Energy Saving Planner Model via Differential Evolutionary Algorithm for Bionic Palletizing Robot

Energy Saving Planner Model via Differential Evolutionary Algorithm for Bionic Palletizing Robot

Simulation and Measurement Validation of a Finite-Length Cylindrical 3D UTD Model

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