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Journal articles on the topic 'Luminous robots'

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Author: Grafiati
Published: 25 May 2024

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1

Nagahama, Shota, Fukuhito Ooshita, and Michiko Inoue. "Terminating Grid Exploration with Myopic Luminous Robots." International Journal of Networking and Computing 12, no. 1 (2022): 73–102. http://dx.doi.org/10.15803/ijnc.12.1_73.

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2

Di Luna, G. A., P. Flocchini, S. Gan Chaudhuri, F. Poloni, N. Santoro, and G. Viglietta. "Mutual visibility by luminous robots without collisions." Information and Computation 254 (June 2017): 392–418. http://dx.doi.org/10.1016/j.ic.2016.09.005.

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3

Das, Shantanu, Paola Flocchini, Giuseppe Prencipe, and Nicola Santoro. "Forming Sequences of Patterns With Luminous Robots." IEEE Access 8 (2020): 90577–97. http://dx.doi.org/10.1109/access.2020.2994052.

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4

Heriban, Adam, and Sébastien Tixeuil. "Mobile Robots with Uncertain Visibility Sensors: Possibility Results and Lower Bounds." Parallel Processing Letters 31, no. 01 (February 24, 2021): 2150002. http://dx.doi.org/10.1142/s012962642150002x.

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We consider mobile robotic entities that have to cooperate to solve assigned tasks. In the literature, two models have been used to model their visibility sensors: the full visibility model, where all robots can see all other robots, and the limited visibility model, where there exists a limit [Formula: see text] such that all robots closer than [Formula: see text] are seen and all robots further than [Formula: see text] are not seen. We introduce the uncertain visibility model, which generalizes both models by considering that a subset of the robots further than [Formula: see text] cannot be seen. An empty subset corresponds to the full visibility model, and a subset containing every such robot corresponds to the limited visibility model. Then, we explore the impact of this new visibility model on the feasibility of benchmarking tasks in mobile robots computing: gathering, uniform circle formation, luminous rendezvous, and leader election. For each task, we determine the weakest visibility adversary that prevents task solvability, and the strongest adversary that allows task solvability. Our work sheds new light on the impact of visibility sensors in the context of mobile robot computing, and paves the way for more realistic algorithms that can cope with uncertain visibility sensors.
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5

Bramas, Quentin, Pascal Lafourcade, and Stéphane Devismes. "Optimal exclusive perpetual grid exploration by luminous myopic opaque robots with common chirality." Theoretical Computer Science 977 (October 2023): 114162. http://dx.doi.org/10.1016/j.tcs.2023.114162.

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6

Nakayama, Shigeki, Masato Uchida, and Tatsuya Yuhara. "Selection Method of Multicolor Luminous Landmarks and Route Modification of the Mobile Robot." Abstracts of the international conference on advanced mechatronics : toward evolutionary fusion of IT and mechatronics : ICAM 2015.6 (2015): 11–12. http://dx.doi.org/10.1299/jsmeicam.2015.6.11.

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7

Kolesnyk, A., D. Usichenko, and L. Nazarenko. "The Results of the Testing of Led Light According to the Method of Measuring the Lighting Engineering Parameters." Metrology and instruments, no. 1 (March 25, 2019): 37–41. http://dx.doi.org/10.33955/2307-2180(1)2019.37-41.

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The paper presents results of the thermographic and numerical analyses of the chosen design of the LED lamp radiator. The LED technology is characterized by the most dynamic development in the ligh ting market. The object of the test is the LED-1 product, which represents the unit module of the multi-module lighting system. Due to high heat fl ux on the small surface of the individual diodes, problems related to the light source cooling become to be one of the basic ones. The parameters of the test modes for the eff ects of changes in temperature are selected taking into account the physical and mechanical properties of the materials used in the manufacture of the product. Tests were conducted in a windless, dark room. Heat was discharged through convection and radiation. The tests in a dark room were conducted. Heat was discharged through convection and radiation. A thermoelectric transducer chromel-copel with dimensions of 400 μm was used to measure the temperature. The temperature was measured by passing a nominal current of 1,67 A through the module. The test results were analyzed and processed. Based on the result it was decided that the works will be continued using the advanced test stand, equipped with the system of the forced air circulation, control and data acquisition system connected with set of the temperature measurers and improved barriers, preventing the interference of the light fl ux with the thermographic measurement. The results of studies of thermal conditions and lighting parameters of the sample of the LED lamp in the process of robots are given. The ability of LED modules to resist the destructive action of heat has been determined. Inspection of potentially unreliable structural elements, strength of fasteners has been done. The luminous effi ciency of LED modules is calculated by indirect and direct, thermal and optical measurements. For the clarity of the working picture was a measured base spectral characteristic. The case temperature, with basic measurements, was 45 °C, and the ambient temperature was 24,2 °C. Analyzing the measurement results — the deviation of the light characteristics amounted to < 10 %. Bringing measurement results to model drawings in CAD SolidWorks allowed us to create a consistent computer model of the product. The model allows with sufficient accuracy to carry out all the calculations for thermal and mass-dimensional data.
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8

NAKAYAMA, Shigeki, Tatsuya YUHARA, and Akitaka HAYASHI. "Self-localization of Autonomous Mobile Robot by Omni-directional Camera and Luminous Landmarks." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2017 (2017): 2P2—C03. http://dx.doi.org/10.1299/jsmermd.2017.2p2-c03.

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9

Ooshita, Fukuhito, and Sébastien Tixeuil. "Ring exploration with myopic luminous robots." Information and Computation, January 2021, 104702. http://dx.doi.org/10.1016/j.ic.2021.104702.

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10

Darwich, Omar, Ahmet-Sefa Ulucan, Quentin Bramas, Anissa Lamani, Anaïs Durand, and Pascal Lafourcade. "Perpetual torus exploration by myopic luminous robots." Theoretical Computer Science, August 2023, 114143. http://dx.doi.org/10.1016/j.tcs.2023.114143.

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11

Adhikary, Ranendu, Manash Kumar Kundu, and Buddhadeb Sau. "Circle formation by asynchronous opaque robots on infinite grid." Computer Science 22, no. 1 (February 1, 2021). http://dx.doi.org/10.7494/csci.2021.22.1.3840.

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This paper presents a distributed algorithm for circle formation problem under the infinite grid environment by asynchronous mobile opaque robots. Initially all the robots are acquiring distinct positions and they have to form a circle over the grid. Movements of the robots are restricted only along the grid lines. They do not share any global co-ordinate system. Robots are controlled by an asynchronous adversarial scheduler that operates in Look-Compute-Move cycles. The robots are indistinguishable by their nature, do not have any memory of their past configurations and previous actions. We consider the problem under luminous model, where robots communicate via lights, other than that they do not have any external communication system. Our protocol solves the circle formation problem using seven colors. A subroutine of our algorithm also solves the line formation problem using three colors.
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12

Nagahama, Shota, Fukuhito Ooshita, and Michiko Inoue. "Ring Exploration of Myopic Luminous Robots with Visibility More than One." Information and Computation, April 2023, 105036. http://dx.doi.org/10.1016/j.ic.2023.105036.

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13

Pramanick, Subhajit, Sai Vamshi Samala, Debasish Pattanayak, and Partha Sarathi Mandal. "Distributed Algorithms for Filling MIS Vertices of an Arbitrary Graph by Myopic Luminous Robots." Theoretical Computer Science, September 2023, 114187. http://dx.doi.org/10.1016/j.tcs.2023.114187.

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14

M. Srinivasa Reddy, G. Nithin, and Ms. B Priyanka. "Light Following Robot." International Journal of Advanced Research in Science, Communication and Technology, April 20, 2023, 537–40. http://dx.doi.org/10.48175/ijarsct-9249.

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The increasing demand of making the roads safer has trigged a lot of companies to develop complete self- driving cars. A self-driving car requires a great number of different sensors as gyros, radars, GPS, tachymeters etc. and advanced software. This thesis will focus on the possibilities of using only light sensing devices for a tracking robot and examine the advantages and disadvantages of this. The purpose is to investigate which type of light sensor is more suitable for a tracking robot and what the limitations of a tracking robot using this technology are. A demonstrator using two light sensors for controlling speed and direction and a color sensor to avoid obstacles will be built. Apart from choosing the most suitable sensor for a light-tracking robot the sensing distance and range of the chosen one will be tested. To investigate the different light-tracking possibilities and the accuracy of the demonstrator, the vehicle will be put in an open indoor space with arranged colored luminous obstacles. The robot will be tested in both a completely dark room and a lit room. The intention with the outcome is to see the differences of the robots behaviour when disturbances from surrounding light are added as an additional aspect. The results from the test are presented and the use of different sensors are discussed. The final conclusion on using light sensing for a tracking robot is that it is an easy and inexpensive method, but it should be used as a complement to other sensing devices not as a stand-alone method.
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15

Srisuchinnawong, Arthicha, Jettanan Homchanthanakul, and Poramate Manoonpong. "NeuroVis: Real-Time Neural Information Measurement and Visualization of Embodied Neural Systems." Frontiers in Neural Circuits 15 (December 27, 2021). http://dx.doi.org/10.3389/fncir.2021.743101.

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Understanding the real-time dynamical mechanisms of neural systems remains a significant issue, preventing the development of efficient neural technology and user trust. This is because the mechanisms, involving various neural spatial-temporal ingredients [i.e., neural structure (NS), neural dynamics (ND), neural plasticity (NP), and neural memory (NM)], are too complex to interpret and analyze altogether. While advanced tools have been developed using explainable artificial intelligence (XAI), node-link diagram, topography map, and other visualization techniques, they still fail to monitor and visualize all of these neural ingredients online. Accordingly, we propose here for the first time “NeuroVis,” real-time neural spatial-temporal information measurement and visualization, as a method/tool to measure temporal neural activities and their propagation throughout the network. By using this neural information along with the connection strength and plasticity, NeuroVis can visualize the NS, ND, NM, and NP via i) spatial 2D position and connection, ii) temporal color gradient, iii) connection thickness, and iv) temporal luminous intensity and change of connection thickness, respectively. This study presents three use cases of NeuroVis to evaluate its performance: i) function approximation using a modular neural network with recurrent and feedforward topologies together with supervised learning, ii) robot locomotion control and learning using the same modular network with reinforcement learning, and iii) robot locomotion control and adaptation using another larger-scale adaptive modular neural network. The use cases demonstrate how NeuroVis tracks and analyzes all neural ingredients of various (embodied) neural systems in real-time under the robot operating system (ROS) framework. To this end, it will offer the opportunity to better understand embodied dynamic neural information processes, boost efficient neural technology development, and enhance user trust.
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