Records |
Author |
M. Diaz; Dennys Paillacho; C. Angulo; O. Torres; J. Gonzálalez; J. Albo Canals |
Title |
A Week-long Study on Robot-Visitors Spatial Relationships during Guidance in a Sciences Museum |
Type |
Conference Article |
Year |
2014 |
Publication |
ACM/IEEE International Conference on Human-Robot Interaction |
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Volume |
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Issue |
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Pages |
152-153 |
Keywords |
social human-robot interaction, spatial relationships, proxemics behavior |
Abstract |
In order to observe spatial relationships in social human- robot interactions, a field trial was carried out within the CosmoCaixa Science Museum in Barcelona. The follow me episodes studied showed that the space configurations formed by guide and visitors walking together did not always fit the robot social affordances and navigation requirements to perform the guidance successfully, thus additional commu- nication prompts are considered to regulate effectively the walking together and follow me behaviors. |
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English |
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no |
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cidis @ cidis @ |
Serial |
29 |
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Author |
Marta Diaz; Dennys Paillacho; Cecilio Angulo |
Title |
Evaluating Group-Robot Interaction in Crowded Public Spaces: A Week-Long Exploratory Study in the Wild with a Humanoid Robot Guiding Visitors Through a Science Museum. |
Type |
Journal Article |
Year |
2015 |
Publication |
International Journal of Humanoid Robotics |
Abbreviated Journal |
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Volume |
Vol. 12 |
Issue |
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Pages |
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Keywords |
Group-robot interaction; robotic-guide; social navigation; space management; spatial formations; group walking behavior; crowd behavior |
Abstract |
This paper describes an exploratory study on group interaction with a robot-guide in an open large-scale busy environment. For an entire week a humanoid robot was deployed in the popular Cosmocaixa Science Museum in Barcelona and guided hundreds of people through the museum facilities. The main goal of this experience is to study in the wild the episodes of the robot guiding visitors to a requested destination focusing on the group behavior during displacement. The walking behavior follow-me and the face to face communication in a populated environment are analyzed in terms of guide- visitors interaction, grouping patterns and spatial formations. Results from observational data show that the space configurations spontaneously formed by the robot guide and visitors walking together did not always meet the robot communicative and navigational requirements for successful guidance. Therefore additional verbal and nonverbal prompts must be considered to regulate effectively the walking together and follow-me behaviors. Finally, we discuss lessons learned and recommendations for robot’s spatial behavior in dense crowded scenarios. |
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International Journal of Humanoid Robotics |
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English |
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English |
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no |
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cidis @ cidis @ |
Serial |
34 |
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Author |
Mildred Cruz; Cristhian A. Aguilera; Boris X. Vintimilla; Ricardo Toledo; Ángel D. Sappa |
Title |
Cross-spectral image registration and fusion: an evaluation study |
Type |
Conference Article |
Year |
2015 |
Publication |
2nd International Conference on Machine Vision and Machine Learning |
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Volume |
331 |
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Pages |
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Keywords |
multispectral imaging; image registration; data fusion; infrared and visible spectra |
Abstract |
This paper presents a preliminary study on the registration and fusion of cross-spectral imaging. The objective is to evaluate the validity of widely used computer vision approaches when they are applied at different spectral bands. In particular, we are interested in merging images from the infrared (both long wave infrared: LWIR and near infrared: NIR) and visible spectrum (VS). Experimental results with different data sets are presented. |
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Publisher |
Computer Vision Center |
Place of Publication |
Barcelona, Spain |
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English |
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English |
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no |
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cidis @ cidis @ |
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35 |
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Author |
Ricardo Cajo; Wilton Agila |
Title |
Evaluation of algorithms for linear and nonlinear PID control for Twin Rotor MIMO System |
Type |
Conference Article |
Year |
2015 |
Publication |
Computer Aided System Engineering (APCASE), 2015 Asia-Pacific Conference on, Quito, 2015 |
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Pages |
214-219 |
Keywords |
Twin Rotor MIMO System (TRMS); Proportional-Integral-Derivative (PID); Linear PID Controller; Nonlinear PID Controller; Nonlinear Observer |
Abstract |
In this paper the linear and nonlinear PID control algorithms are analyzed and for a twin rotor MIMO system (TRMS), whose characteristic is not linear with two degrees of freedom and cross-links. The aim of this work is to stabilize the TRMS, to achieve a particular position and follow a trajectory in the shortest time. Mathematical modeling of helicopter model is simulated using MATLAB / Simulink, the two degrees of freedom are controlled both horizontally and vertically through the proposed controllers. Also nonlinear segmented observers for each degree of freedom are designed in order to measure statements required by the nonlinear controller. Followed, a comparative analysis of both algorithms is presented to evaluate their performance in the real TRMS. |
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Publisher |
IEEE |
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English |
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English |
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2015 Asia-Pacific Conference on Computer Aided System Engineering |
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no |
Call Number |
cidis @ cidis @ |
Serial |
36 |
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Author |
Ma. Paz Velarde; Erika Perugachi; Dennis G. Romero; Ángel D. Sappa; Boris X. Vintimilla |
Title |
Análisis del movimiento de las extremidades superiores aplicado a la rehabilitación física de una persona usando técnicas de visión artificial. |
Type |
Journal Article |
Year |
2015 |
Publication |
Revista Tecnológica ESPOL-RTE |
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Volume |
Vol. 28 |
Issue |
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Pages |
pp. 1-7 |
Keywords |
Rehabilitation; RGB-D Sensor; Computer Vision; Upper limb |
Abstract |
Comúnmente durante la rehabilitación física, el diagnóstico dado por el especialista se basa en observaciones cualitativas que sugieren, en algunos casos, conclusiones subjetivas. El presente trabajo propone un enfoque cuantitativo, orientado a servir de ayuda a fisioterapeutas, a través de una herramienta interactiva y de bajo costo que permite medir los movimientos de miembros superiores. Estos movimientos son capturados por un sensor RGB-D y procesados mediante la metodología propuesta, dando como resultado una eficiente representación de movimientos, permitiendo la evaluación cuantitativa de movimientos de los miembros superiores. |
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ESPOL |
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English |
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English |
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no |
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cidis @ cidis @ |
Serial |
39 |
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Author |
Cristhian A. Aguilera; Angel D. Sappa; R. Toledo |
Title |
LGHD: A feature descriptor for matching across non-linear intensity variations |
Type |
Conference Article |
Year |
2015 |
Publication |
IEEE International Conference on, Quebec City, QC, 2015 |
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Pages |
178 - 181 |
Keywords |
Feature descriptor, multi-modal, multispectral, NIR, LWIR |
Abstract |
This paper presents a new feature descriptor suitable to the task of matching features points between images with nonlinear intensity variations. This includes image pairs with significant illuminations changes, multi-modal image pairs and multi-spectral image pairs. The proposed method describes the neighbourhood of feature points combining frequency and spatial information using multi-scale and multi-oriented Log- Gabor filters. Experimental results show the validity of the proposed approach and also the improvements with respect to the state of the art. |
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IEEE |
Place of Publication |
Quebec City, QC, Canada |
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English |
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English |
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2015 IEEE International Conference on Image Processing (ICIP) |
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no |
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cidis @ cidis @ |
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40 |
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Author |
M. Oliveira; L. Seabra Lopes; G. Hyun Lim; S. Hamidreza Kasaei; Angel D. Sappa; A. Tomé |
Title |
Concurrent Learning of Visual Codebooks and Object Categories in Open- ended Domains |
Type |
Conference Article |
Year |
2015 |
Publication |
Intelligent Robots and Systems (IROS), 2015 IEEE/RSJ International Conference on, Hamburg, Germany, 2015 |
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Pages |
2488 - 2495 |
Keywords |
Birds, Training, Legged locomotion, Visualization, Histograms, Object recognition, Gaussian mixture model |
Abstract |
In open-ended domains, robots must continuously learn new object categories. When the training sets are created offline, it is not possible to ensure their representativeness with respect to the object categories and features the system will find when operating online. In the Bag of Words model, visual codebooks are usually constructed from training sets created offline. This might lead to non-discriminative visual words and, as a consequence, to poor recognition performance. This paper proposes a visual object recognition system which concurrently learns in an incremental and online fashion both the visual object category representations as well as the codebook words used to encode them. The codebook is defined using Gaussian Mixture Models which are updated using new object views. The approach contains similarities with the human visual object recognition system: evidence suggests that the development of recognition capabilities occurs on multiple levels and is sustained over large periods of time. Results show that the proposed system with concurrent learning of object categories and codebooks is capable of learning more categories, requiring less examples, and with similar accuracies, when compared to the classical Bag of Words approach using codebooks constructed offline. |
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IEEE |
Place of Publication |
Hamburg, Germany |
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English |
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English |
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2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) |
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no |
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cidis @ cidis @ |
Serial |
41 |
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Author |
Miguel Realpe; Boris X. Vintimilla; Ljubo Vlacic |
Title |
Sensor Fault Detection and Diagnosis for autonomous vehicles |
Type |
Conference Article |
Year |
2015 |
Publication |
2nd International Conference on Mechatronics, Automation and Manufacturing (ICMAM 2015), International Conference on, Singapur, 2015 |
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30 |
Issue |
MATEC Web of Conferences |
Pages |
1-6 |
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Abstract |
In recent years testing autonomous vehicles on public roads has become a reality. However, before having autonomous vehicles completely accepted on the roads, they have to demonstrate safe operation and reliable interaction with other traffic participants. Furthermore, in real situations and long term operation, there is always the possibility that diverse components may fail. This paper deals with possible sensor faults by defining a federated sensor data fusion architecture. The proposed architecture is designed to detect obstacles in an autonomous vehicle’s environment while detecting a faulty sensor using SVM models for fault detection and diagnosis. Experimental results using sensor information from the KITTI dataset confirm the feasibility of the proposed architecture to detect soft and hard faults from a particular sensor. |
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Publisher |
EDP Sciences |
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English |
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English |
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no |
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cidis @ cidis @ |
Serial |
42 |
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Author |
Julien Poujol; Cristhian A. Aguilera; Etienne Danos; Boris X. Vintimilla; Ricardo Toledo; Angel D. Sappa |
Title |
A visible-Thermal Fusion based Monocular Visual Odometry |
Type |
Conference Article |
Year |
2015 |
Publication |
Iberian Robotics Conference (ROBOT 2015), International Conference on, Lisbon, Portugal, 2015 |
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Volume |
417 |
Issue |
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Pages |
517-528 |
Keywords |
Monocular Visual Odometry; LWIR-RGB cross-spectral Imaging; Image Fusion |
Abstract |
The manuscript evaluates the performance of a monocular visual odometry approach when images from different spectra are considered, both independently and fused. The objective behind this evaluation is to analyze if classical approaches can be improved when the given images, which are from different spectra, are fused and represented in new domains. The images in these new domains should have some of the following properties: i) more robust to noisy data; ii) less sensitive to changes (e.g., lighting); iii) more rich in descriptive information, among other. In particular in the current work two different image fusion strategies are considered. Firstly, images from the visible and thermal spectrum are fused using a Discrete Wavelet Transform (DWT) approach. Secondly, a monochrome threshold strategy is considered. The obtained representations are evaluated under a visual odometry framework, highlighting their advantages and disadvantages, using different urban and semi-urban scenarios. Comparisons with both monocular-visible spectrum and monocular-infrared spectrum, are also provided showing the validity of the proposed approach. |
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English |
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no |
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cidis @ cidis @ |
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44 |
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Author |
Miguel Oliveira; Vítor Santos; Angel D. Sappa; Paulo Dias |
Title |
Scene representations for autonomous driving: an approach based on polygonal primitives |
Type |
Conference Article |
Year |
2015 |
Publication |
Iberian Robotics Conference (ROBOT 2015), Lisbon, Portugal, 2015 |
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Volume |
417 |
Issue |
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Pages |
503-515 |
Keywords |
Scene reconstruction, Point cloud, Autonomous vehicles |
Abstract |
In this paper, we present a novel methodology to compute a 3D scene representation. The algorithm uses macro scale polygonal primitives to model the scene. This means that the representation of the scene is given as a list of large scale polygons that describe the geometric structure of the environment. Results show that the approach is capable of producing accurate descriptions of the scene. In addition, the algorithm is very efficient when compared to other techniques. |
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Springer International Publishing Switzerland 2016 |
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English |
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English |
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Conference |
Second Iberian Robotics Conference |
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cidis @ cidis @ |
Serial |
45 |
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