References of "Martinez Luna, Carol 50040102"
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See detailDeep Learning for Safe Human-Robot Collaboration
Duque, Nicolas; Mejia, Lina; Martinez Luna, Carol UL et al

in Advances in Automation and Robotics Research (2021, November 21)

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See detailMachine learning for surgical time prediction
Martinez, Oscar; Martinez Luna, Carol UL; Parra, Carlos et al

in Computer Methods and Programs in Biomedicine (2021)

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See detail5G-SpaceLab
Querol, Jorge UL; Abdalla, Abdelrahman UL; Bokal, Zhanna UL et al

Poster (2021, April 19)

The new phase of space exploration involves a growing number of human and robotic missions with varying communication and service requirements. Continuous, maximum coverage of areas where activities are ... [more ▼]

The new phase of space exploration involves a growing number of human and robotic missions with varying communication and service requirements. Continuous, maximum coverage of areas where activities are concentrated and orbiting missions (single spacecraft or constellations) around the Earth, Moon or Mars will be particularly challenging. The standardization of the 5G Non-Terrestrial Networks (NTN) has already begun [1], and nothing prevents 5G from becoming a common communications standard supporting space resource missions [2]. The 5G Space Communications Lab (5G-SpaceLab) is an interdisciplinary experimental platform, funded by the Luxembourg Space Agency and is part of the Space Research Program of SnT. The lab allows users to design and emulate realistic space communications and control scenarios for the next-generation of space applications. The capabilities of the 5G-SpaceLab testbed combine the experience of different disciplines including space communications, space and satellite mission design, and space robotics. The most relevant include the demonstration of SDR 5G NTN terminals including NB-IoT, emulation of space communications channel scenarios (e.g. link budget, delay, Doppler…), small satellite platform and payload design and testing, satellite swarm flight formation, lunar rover and robotic arm control and AI-powered telerobotics. Earth-Moon communications is one of the scenarios demonstrated in the 5G-SpaceLab. Bidirectional communication for the teleoperation of lunar rovers for near real-time operations including data collection and sensors feedback will be tested. AI-based approaches for perception and control will be developed to overcome communication delays and to provide safer, trustworthy, and efficient remote control of the rovers. [1] 3GPP Release 17 Timeline. [Online]. Available: https://www.3gpp.org/release-17 [2] Nokia, Nokia selected by NASA to build first ever cellular network on the Moon. [Online]. Available: https://www.nokia.com/about-us/news/releases/2020/10/19/nokia-selected-by-nasa-to-build-first-ever-cellular-network-on-the-moon/ [less ▲]

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See detailHigh-throughput biomass estimation in rice crops using UAV multispectral imagery
Devia, Carlos A.; Rojas, Juan P.; Petro, Eliel et al

in Journal of Intelligent and Robotic Systems (2019), 96(3-4), 573--589

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See detailA Collaborative Vacuum Tool for Humans and Robots
Hernandez, Wilson; Hilarion, Alvaro; Martinez Luna, Carol UL

in Proceedings of the Latin American Congress on Automation and Robotics (2019)

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See detailSafety Protocol for Collaborative Human-Robot Recycling Tasks
Medina, Angie C.; Mora, Juan F.; Martinez Luna, Carol UL et al

in IFAC-PapersOnLine (2019), 52(13), 2008--2013

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See detailA Fast Solution to the Dual Arm Robotic Sequencing Problem
Suárez-Ruiz, Francisco; Martinez Luna, Carol UL

in Advances in Automation and Robotics Research (2019)

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See detailThe Power Line Inspection Software (PoLIS): A versatile system for automating power line inspection
Martinez Luna, Carol UL; Sampedro, Carlos; Chauhan, Aneesh et al

in Engineering applications of artificial intelligence (2018), 71

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See detailAerial mapping of rice crops using mosaicing techniques for vegetative index monitoring
Petro, E.; Martinez Luna, Carol UL; Mondragon, Ivan F. et al

in 2018 International Conference on Unmanned Aircraft Systems (ICUAS) (2018)

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See detailSetup of the yaskawa sda10f robot for industrial applications, using ros-industrial
Martinez Luna, Carol UL; Barrero, Nicolas; Hernandez, Wilson et al

in Advances in Automation and Robotics Research in Latin America (2017)

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See detailTowards image mosaicking with aerial images for monitoring rice crops
Rojas, Juan; Martinez Luna, Carol UL; Mondragon, Ivan et al

in Advances in Automation and Robotics Research in Latin America (2017)

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See detailHMPMR strategy for real-time tracking in aerial images, using direct methods
Martinez Luna, Carol UL; Campoy, Pascual; Fernando Mondragon, Ivan et al

in Machine Vision and Applications (2014), 25(5), 1283-1308

The vast majority of approaches make use of features to track objects. In this paper, we address the tracking problem with a tracking-by-registration strategy based on direct methods. We propose a ... [more ▼]

The vast majority of approaches make use of features to track objects. In this paper, we address the tracking problem with a tracking-by-registration strategy based on direct methods. We propose a hierarchical strategy in terms of image resolution and number of parameters estimated in each resolution, that allows direct methods to be applied in demanding real-time visual-tracking applications. We have called this strategy the Hierarchical Multi-Parametric and Multi-Resolution strategy (HMPMR). The Inverse Composition Image Alignment Algorithm (ICIA) is used as an image registration technique and is extended to an HMPMR-ICIA. The proposed strategy is tested with different datasets and also with image data from real flight tests using an Unmanned Aerial Vehicle, where the requirements of direct methods are easily unsatisfied (e.g. vehicle vibrations). Results show that using an HMPMR approach, it is possible to cope with the efficiency problem and with the small motion constraint of direct methods, conducting the tracking task at real-time frame rates and obtaining a performance that is comparable to, or even better than, the one obtained with the other algorithms that were analyzed. [less ▲]

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See detailTowards autonomous detection and tracking of electric towers for aerial power line inspection
Martinez Luna, Carol UL; Sampedro, Carlos; Chauhan, Aneesh et al

in 2014 International Conference on Unmanned Aircraft Systems (ICUAS) (2014)

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See detailA supervised approach to electric tower detection and classification for power line inspection
Sampedro, Carlos; Martinez Luna, Carol UL; Chauhan, Aneesh et al

in 2014 International Joint Conference on Neural Networks (IJCNN) (2014)

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See detailAutonomous Guided Car Using a Fuzzy Controller
Olivares Mendez, Miguel Angel UL; Campoy, Pascual; Mellado-Bataller, Ignacio et al

in Sen Gupta, Gourab; Bailey, Donald; Demidenko, Serge (Eds.) et al Recent Advances in Robotics and Automation (2013)

The goal of the work described in this paper is to develop a visual line guided system for being used on-board an Autonomous Guided Vehicle (AGV) commercial car, controlling the steering and using just ... [more ▼]

The goal of the work described in this paper is to develop a visual line guided system for being used on-board an Autonomous Guided Vehicle (AGV) commercial car, controlling the steering and using just the visual information of a line painted below the car. In order to implement the control of the vehicle, a Fuzzy Logic controller has been implemented, that has to be robust against curvature changes and velocity changes. The only input information for the controller is the visual distance from the image center captured by a camera pointing downwards to the guiding line on the road, at a commercial frequency of 30Hz. The good performance of the controller has successfully been demonstrated in a real environment at urban velocities. The presented results demonstrate the capability of the Fuzzy controller to follow a circuit in urban environments without previous information about the path or any other information from additional sensors. [less ▲]

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See detailVisual Tracking, Pose Estimation, and Control for Aerial Vehicles
Martinez Luna, Carol UL

Doctoral thesis (2013)

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See detailTowards autonomous air-to-air refuelling for UAVs using visual information
Martinez Luna, Carol UL; Richardson, Thomas; Campoy, Pascual

in 2013 IEEE International Conference on Robotics and Automation (2013)

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See detailA vision-based strategy for autonomous aerial refueling tasks
Martinez Luna, Carol UL; Richardson, Thomas; Thomas, Peter et al

in Robotics and Autonomous Systems (2013), 61(8), 876--895

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