Search results for "Robots"
showing 10 items of 100 documents
Detection of Internet robots using a Bayesian approach
2015
A large part of Web traffic on e-commerce sites is generated not by human users but by Internet robots: search engine crawlers, shopping bots, hacking bots, etc. In practice, not all robots, especially the malicious ones, disclose their identities to a Web server and thus there is a need to develop methods for their detection and identification. This paper proposes the application of a Bayesian approach to robot detection based on characteristics of user sessions. The method is applied to the Web traffic from a real e-commerce site. Results show that the classification model based on the cluster analysis with the Ward's method and the weighted Euclidean metric is very effective in robot det…
Zvaigžņotā Debess: 2004, Rudens (185)
2004
Contents: L.Kondraševa and I.Zimina. New Riga Planetarium ; I.Rabinovičs. Remembering Fricis Blumbahs ; N.Cimahoviča. 50 cm Reflector Constructed in Riga ; J.Tambergs. Problems of Dialogue between Quantum Mechanics and Theology. A.Alksnis, Z.Alksne. The Sloan Great Wall ; A.Balklavs. Radio Galaxy – Emitter of Very High Energy Gamma-Rays ; A.Balklavs. Cosmic Objects in Photos – 2 ; A.Balklavs. New Assessments of Fine-Structure Constant Variability ; N.Cimahoviča. Dark Electric Matter Objects Around Us ; A.Balklavs. New Data on the Solar Granulation ; J.Jaunbergs. The Sinking Cliffs on Io ; D.Krieviņš. Space Launchers of Early XXI Century ; M.Sudārs. SpaceShipOne Closest to X-Prize ; J.Harja.…
Estimation de mouvement d'un système stéréoscopique hybride à partir des droites
2010
We present a motion estimation approach for hybrid stereo rigs using line images. The proposed method can be applied to a hybrid system built up from any single view point (SVP) cameras such as perspective, central catadioptric and fisheye cameras. Such configuration combines advantageous characteristics of different types of cameras. Images captured by SVP imaging devices may be mapped to spherical images using the unified projection model. It is possible to recover the camera orientations using vanishing points of parallel line sets. We then estimate the translations from known rotations and line images on the spheres. The algorithm has been validated on simulated data and real images tak…
Deep Reinforcement Learning with Omnidirectional Images: application to UAV Navigation in Forests
2022
Deep Reinforcement Learning (DRL) is highly efficient for solving complex tasks such as drone obstacle avoidance using cameras. However, these methods are often limited by the camera perception capabilities. In this paper, we demonstrate that point-goal navigation performances can be improved by using cameras with a wider Field-Of-View (FOV). To this end, we present a DRL solution based on equirectangular images and demonstrates its relevance, especially compared to its perspective version. Several visual modalities are compared: ground truth depth, RGB, and depth directly estimated from these 360°R GB images using Deep Learning methods. Next, we propose a spherical adaptation to take into …
Analyse des mécanismes impliqués dans la détection automatisée des adventices
2017
EASPEGESTADAGROSUP; L’objectif est de développer des systèmes de proxidétection embarqués sur différentes plateformes aérienne (drone) ou terrestre (robot) dédiés, entre autre, à l’identification et la localisation d’adventices pour établir des cartes de présence d'adventices afin de mettre en oeuvre le désherbage chimique localisé. L’étude présente les premiers résultats obtenus par le drone d’AIRINOV dont la problématique est d’étudier le potentiel de l’imagerie aérienne pour la détection d’adventices. Deux approches ont été étudiées.
Robotics for weed control: I-Weed Robot for a specific spraying
2012
International audience; To preserve environment for a sustainable agriculture, we explore the development of a new autonomous robot, called I-Weed Robot (Intelligent Weed Robot), which aims at reducing herbicides in crop fields (maize, sunflower...). Using a high precision positioning signal (RTK) to locate the robot in the field, a Kaman filter and a proportional-integral-derivative controller (PID controller) allow adjusting the orientation of the robot depending on a predefined trajectory. As for the spraying system, a camera in front of the mobile platform detects weed plants thanks to an image processing based on a crop/weed discrimination algorithm (Hough Transform). At the back a spr…
“It is better than working with a person” : Affective cues and responses to robots at work
2022
Robotic technologies are gaining popularity in various industries, and, by implication, academic research anticipates changes in occupations and work tasks, as well as in the labor market in general. In the future, human employees and robots will increasingly work side by side as coworkers. Despite growing interest, little is known about human employees’ experiences of working with robots, and particularly, their emotions toward robots. However, research has shown that emotions – that is, affective responses – play an important role in the use and adoption of technologies. To address this research gap, we conducted a qualitative questionnaire examining the emotions experienced by employees …
REAL HUMANS? : Affective imaginaries of the human and its Others in the Swedish TV series Äkta människor
2019
According to the Swedish science fiction TV series Äkta människor (Real Humans, SVT and Matador film 2012-2014), humanoid robots called “hubots” are replacing the human workforce in care work and assembly line industries. Against the backdrop of current debates about immigration and citizenship in the Nordic countries, this article does a close, contextual reading of the series, exploring how the hubots influence work and family life. We are particularly interested in how hubots tie in with the cultural circulation of affect in relation to Otherness and how responses towards the “not-quite” human or dehumanized Other are negotiated in the present-day Nordic cultural imaginaries. What kinds …
What makes a (ro)bot smart? : examining the antecedents of perceived intelligence in the context of using physical robots, software robots, and chatb…
2022
In recent years, the acceptance and use of intelligent robots and other kinds of intelligent systems have begun to gain more and more attention also in information systems research. Here, many studies have found the perceived intelligence of robots to act as one critical antecedent for their acceptance and use, but few studies have focused on the antecedents of perceived intelligence itself. In this study, we aimed to address this gap in prior research by examining the effects of individual intelligence dimensions on the overall intelligence perception of robots in the work context. In addition, we also examined the potential differences in these effects as well as in the individual intelli…
UAV-Assisted Data Collection in Wireless Sensor Networks: A Comprehensive Survey
2021
Wireless sensor networks (WSNs) are usually deployed to different areas of interest to sense phenomena, process sensed data, and take actions accordingly. The networks are integrated with many advanced technologies to be able to fulfill their tasks that is becoming more and more complicated. These networks tend to connect to multimedia networks and to process huge data over long distances. Due to the limited resources of static sensor nodes, WSNs need to cooperate with mobile robots such as unmanned ground vehicles (UGVs), or unmanned aerial vehicles (UAVs) in their developments. The mobile devices show their maneuverability, computational and energy-storage abilities to support WSNs in mul…