The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Semantic mapping is a very active and growing research area, with important applications in indoor and outdoor robotic applications. However, most of the research on semantic mapping has focused on indoor mapping and there is a need for developing semantic mapping methodologies for large-scale outdoor scenarios. In this work, a novel semantic mapping methodology for large-scale outdoor scenes in autonomous...
We developed a life support system for connecting PC with the real world. This system has seamless interface between the personal computer (PC) world and the real world, we have been studying a method for teaching a caregiver robot and a caregiver person. The interface proposed here allows a user to intuitively direct a robot's motion via a graphical user interface of the sort typical in the PC world...
Space intelligent robotic systems are expected to play an increasingly important role in the future. The robotic on-orbital service, whose key is the tracking and capturing technology, becomes research hot in recent years. In this paper, the authors propose a vision servo control system for target capturing. Robotic manipulator will be an intelligent robotic system with large-scale movement, functional...
Current technologies and methods for cutting pieces of a raw material, have a big limitation, and without despising its efficacy and precision, its scope and area of work limit the materials that are possible to manufacture in only process stage; This is a task of an area of research how to solve this disadvantage without losing the efficiency of the past technologies.
We present Robot Devastation, a multiplayer augmented reality game using low-cost robots. Players can assemble their low-cost robotic platforms and connect them to the central server, commanding them through their home PCs. Several low-cost platforms were developed and tested inside the game.
The annual International Mechatronics Educational Project (IMEP) was set up as a cooperation between three European universities from The Netherlands, Germany and Belgium in 2013 and was held for the 3rd time in Spring 2015. IMEP 2015 started with a kick-off meeting in February and ended 17 weeks later with an assessment including a demonstration of the students' work. During the fifth and tenth week...
In this position paper we propose the use of the Distributional Clauses Particle Filter in conjunction with a model-based 3D object tracking method in monocular camera sequences. We describe the model based object tracking method that is based on contour and edge features for 3D pose relative estimation. We also describe the application of the Distributional Clauses Particle Filter that takes into...
Today most recognition pipelines are trained at an off-line stage, providing systems with pre-segmented images and predefined objects, or at an on-line stage, which requires a human supervisor to tediously control the learning. Self-Supervised on-line training of recognition pipelines without human intervention is a highly desirable goal, as it allows systems to learn unknown, environment specific...
We introduce a novel active stereo vison-based object tracking system for a humanoid robot. The system tracks a moving object that is dynamically changing its appearance and scale. The system features an in-built learning process that simultaneously learns short term models for the object and potential distractors. These models evolve over time, rectifying the inaccuracies of the tracking in a cluttered...
The aim of this paper is to present a practical method to land a Quadrotor MAV (Micro Arial Vehicle) on a landing pad or charger dock station. Nowadays Quadrotor MAVs are very popular but due to nonlinear dynamics and ground effects problems landing of a Quadrotor MAV is a control challenge specially in outdoor environments. For this purpose a high level fuzzy controler and a low level PID stablizer...
Sorting is one of the important tasks in production line. Using Robot to increase productivity in automatic sorting system interests a large of researchers. In this paper, we recommend a sorting system based on Robot that can identify the position and properties of objects. The sorting system uses the camera placed on the top of the mechanical conveyor belt. With the images captured by the camera,...
This paper describes and evaluates a new sensing methodology for anomaly inspection in sewer pipes using a machine vision approach. Currently, most commercial pipe inspection systems include a mobile remote platform and one or more Closed Circuit Television (CCTV) cameras. These inspection systems are slow, costly and have limited accuracy (caused by humans or environmental reasons). More sophisticated...
Autonomous mobile robots exploring areas in a search and rescue (SAR) context benefit greatly from the usage of thermal imaging cameras (TICs). In unknown environments, the interpretation of the temperature values provided by the camera is a challenge. This is due to the fact that temperature calculation based on thermal images depends strongly on the regarded surface emissivity. In this work, we...
Robotics offers a great opportunity to improve efficiency while also improving safety, but reliable detection of humans in off-road environments remains a key challenge. We present a person detector evaluation on a dataset collected from an autonomous tractor in an off-road environment representing challenging conditions with significant occlusion from weeds and branches as well as non-standing poses...
Robotic first responders have potential to significantly improve rescue efficiency and safety in search and rescue missions. To operate intelligently, a robot requires the capability to recognize critical objects in a disaster environment, in order to effectively locate victims and/or prevent secondary disasters. In this report, we introduce a novel dataset of Critical Objects for Response to Emergency...
Grafting technique helps to reduce soil-borne diseases, overcome the obstacles of cropping cultivation, increase yield and fruit quality. But grafting requires precise technique; the proficiency of operation will also directly affect the productivity and the survival rate of grafted seedlings. With the wide application of grafting technology, grafting robots were developed continually. However, the...
Estimating the localization of an autonomous robot is a key problem in robotics. Monocular cameras have been successfully used to solve this problem, but they suffer with the absence of depth information. It limits measurements made with only monocular cameras to be recoverable only up to a scale. This condition is known as scale ambiguity. In this paper we propose an approach to solve the scale ambiguity...
With the popularization of small Unmanned Aerial Vehicles (UAVs) and their usage diversification among various fields, such as aerial mapping applications, it is important to develop better terrain following techniques that rely solely on the vehicle's sensing capabilities. The objective of this paper is to evaluate whether is possible to gather information about terrain inclination and elevation...
The detection of obstacles is a fundamental issue in autonomous navigation, as it is the main key for collision prevention. This paper presents a method for the segmentation of general obstacles by stereo vision with no need of dense disparity maps or assumptions about the scenario. A sparse set of points is selected according to a local spatial condition and then clustered in function of its neighborhood,...
Rotary-wing unmanned aerial vehicles (UAV) are being widely used in different applications due to its several features, such as mobility, lightweight, embedded processing and capability of flying in different height levels. Among the possible applications they are used in surveillance tasks, agriculture environments monitoring, power lines inspections and diseases detection in crops. The images captured...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.