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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 detailDATA DISTRIBUTION API SPECIFICATION
Blanco, Braulio UL; Brorsson, Mats Hakan UL

Report (2021)

The second deliverable for the Script Project: API Specification

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See detailDelta-kick cooling, time-optimal control of scale-invariant dynamics, and shortcuts to adiabaticity assisted by kicks
Dupays, Léonce UL; Spierings, David C.; Steinberg, Aephraim M. et al

in Physical Review Research (2021)

Delta-kick cooling (DKC) is used to compress the momentum distribution of ultracold quantum matter. It combines expansion dynamics with the use of kick pulses, designed via classical methods, that bring ... [more ▼]

Delta-kick cooling (DKC) is used to compress the momentum distribution of ultracold quantum matter. It combines expansion dynamics with the use of kick pulses, designed via classical methods, that bring the system to rest.We introduce an exact approach to DKC for arbitrary scale-invariant dynamics of quantum gases, lifting the original restrictions to free evolution and noninteracting systems, to account for the control of atomic clouds in a time-dependent harmonic trap that can be either repulsive (inverted) or confining. We show that DKC assisted by a repulsive potential outperforms the conventional scheme, and that sudden trap-frequency quenches combined with DKC are equivalent to time-optimal bang-bang protocols.We further show that reverse engineering of the scale-invariant dynamics under smooth trap-frequency modulations can be combined with DKC to introduce a new class of shortcuts to adiabaticity assisted by kicks. [less ▲]

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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 detailShortcuts to Squeezed Thermal States
Dupays, Léonce UL; Chenu, Aurélia UL

in Quantum (2021)

Squeezed state in harmonic systems can be generated through a variety of techniques, including varying the oscillator frequency or using nonlinear two-photon Raman interaction. We focus on these two ... [more ▼]

Squeezed state in harmonic systems can be generated through a variety of techniques, including varying the oscillator frequency or using nonlinear two-photon Raman interaction. We focus on these two techniques to drive an initial thermal state into a final squeezed thermal state with controlled squeezing parameters—amplitude and phase—in arbitrary time. The protocols are designed through reverse engineering for both unitary and open dynamics. Control of the dissipation is achieved using stochastic processes, readily implementable via, e.g., continuous quantum measurements. Importantly, this allows controlling the state entropy and can be used for fast thermalization. The developed protocols are thus suited to generate squeezed thermal states at controlled temperature in arbitrary time. [less ▲]

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See detailOptimization of the Return Link Carrier Planning for a Constant Coding and Modulation Satellite Network
Lacoste, Clément UL; Maturo, Nicola UL; Chatzinotas, Symeon UL et al

in Frontiers in Communications and Networks (2021), 2

In this paper, we propose an approach to optimize the frequency plan and associated bandwidth allocation in the return link of a broadband satellite network, by exploring several design techniques for ... [more ▼]

In this paper, we propose an approach to optimize the frequency plan and associated bandwidth allocation in the return link of a broadband satellite network, by exploring several design techniques for carrier allocation plans. Since bandwidth is a limited resource in satellite telecommunications, the minimization of bandwidth usage is a core issue that satellite communication service providers must solve, in particular for networks using a constant coding and modulation plan, which lacks the flexibility found in newer satellite communication products and can be subject to hardware constraints. This problematic led us to raise the following question: how can the long term bandwidth requirement of the network be minimized, given a set of ground terminals, of Modulations and Codings, and of discrete bandwidths. In this document we formally define the long-term carrier allocation problem and analyze current practical solutions. We subsequently investigate two other potential solutions, found to be more bandwidth-efficient: one based on heuristics and another based on integer linear programming. Finally, we look at the impact of several parameters on the performance of those three methods. Overall we observed marginal reductions in bandwidth, however significant gains were reached for networks with small return links with low committed information rate, a case in which some constant coding and modulation networks could fall. We concluded that those networks could benefit from our methods and see a significant reduction in bandwidth, and subsequently operational costs, at low implementation costs. [less ▲]

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

Doctoral thesis (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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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 detailOn-board and ground visual pose estimation techniques for UAV control
Martinez Luna, Carol UL; Mondragón, Iván F.; Olivares-Méndez, Miguel A. et al

in Journal of Intelligent and Robotic Systems (2011), 61(1), 301--320

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