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Vision localization apple bagging robot is researched in this paper for young apples. The key technologies of the young fruit stereoscopic images recognizing and positioning are studied in the visible light of the natural environment. Firstly, the Otsu segmentation algorithm is used to preprocess the collected young apple images. Secondly, the improved connected component labeling algorithm is used...
As the first step towards the natural interaction between human and multi-UAV system, we present a novel human-UAV interaction method based on hand gesture recognition. We design different hand gestures corresponding to different UAV commands and propose a stable algorithm to distinguish these gestures. Then, considering the fact that the operation of multi-UAV system may need multiple cooperative...
Agile robots, such as small Unmanned Aerial Vehicles (UAVs) can have a great impact on the automation of tasks, such as industrial inspection and maintenance or crop monitoring and fertilization in agriculture. Their deploy-ability, however, relies on the UAV's ability to self-localize with precision and exhibit robustness to common sources of uncertainty in real missions. Here, we propose a new system...
Robot-assisted minimally invasive surgery can benefit from the automation of common, repetitive or well-defined but ergonomically difficult tasks. One such task is the scanning of a pick-up endomicroscopy probe over a complex, undulating tissue surface to enhance the effective field-of-view through video mosaicing. In this paper, the da Vinci® surgical robot, through the dVRK framework, is used for...
Crop grow measurement technologies are important to increase the farm productivity. Detection and measurement of fruit volume are useful for forecasting and harvesting applications. Some environmental challenges such as lighting conditions or occlusions make the fruit detection difficult. Our approach is based on features extraction from images through a sub-image clustering technique. Then images...
Floor cleaning robot has gained popularity in the European country. When people are busy with their work, the robot is to take over house cleaning task. Most of the service robot technologies become more and more matured so that applications far beyond fetch and carry tasks will be possible in near future. Most of the robot perform one task at the time. To be of any use, cleaning robots should be...
Due to its ability to learn complex behaviors in high-dimensional state-action spaces, deep reinforcement learning algorithms have attracted much interest in the robotics community. For a practical reinforcement learning implementation on a robot, it has to be provided with an informative reward signal that makes it easy to discriminate the values of nearby states. To address this issue, prior information,...
Indoor exploration based on panoramic images has been of interest in both navigation and visualization scenarios of mobile intelligent systems, becoming an appealing research topic in hardware design and computational algorithms. A detailed profile of an indoor scene further used for 3D reconstruction purposes or visualization requires an accurate high-resolution rendering from multiple camera shots...
We present an illumination-robust visual localization algorithm for Astrobee, a free-flying robot designed to autonomously navigate on the International Space Station (ISS). Astrobee localizes with a monocular camera and a pre-built sparse map composed of natural visual features. Astrobee must perform tasks not only during the day, but also at night when the ISS lights are dimmed. However, the localization...
In general, robot grasping approaches are based on the usage of multi-finger grippers. However, when large size objects need to be manipulated vacuum grippers are preferred, instead of finger based grippers. This paper aims to estimate the best picking place for a two suction cups vacuum gripper, when planar objects with an unknown size and geometry are considered. The approach is based on the estimation...
We present a novel method for robotic mower's lawn obstacle avoidance as well as motion control, which is based on the Gabor texture classification and drivable region search methods. In our approach, a camera is applied to obtain real-time image streams of lawn scenes, Gabor filters are then applied for extracting robust texture features. Based on the compressed features, a SVM model is trained and...
Real-time object detection is crucial for many applications of Unmanned Aerial Vehicles (UAVs) such asreconnaissance and surveillance, search-and-rescue, and infras-tructure inspection. In the last few years, Convolutional NeuralNetworks (CNNs) have emerged as a powerful class of modelsfor recognizing image content, and are widely considered inthe computer vision community to be the de facto standardapproach...
A continuously adaptive template matching algorithm for depth camera is proposed for tracking human upper body. In contrast to traditional method for image patch matching, the background behind the target is separated, also the size of the tracking window is adjustable based on the distance of the target, which discard most of the disturbance in a relatively larger tracking window with smaller target...
This paper proposes an approach to analyze the performance of a table tennis player in returning balls launched by a machine. Video frames streamed by a single-view low-quality camera are used as the input of the proposed approach. Background subtraction, HSV transformation, and morphological processing are also applied to identify the location of the ball. The output of the proposed approach is types...
Though the classical robotics is highly proficient in accomplishing a lot of complex tasks, still it is far from exhibiting the human-like natural intelligence in terms of flexibility and reliability to work in dynamic scenarios. In order to render these qualities in the robots, reinforcement learning could prove to be quite effective. By employing learning based training provided by reinforcement...
In this paper, we propose a jellyfish distribution management system using an UAV (unmanned aerial vehicle) and USVs (unmanned surface vehicle). The UAV was designed to satisfy the requirements for flight in ocean environment. The target jellyfish, aurelia aurita, is recognized through a convolution neural network and its distribution is calculated. A high-speed deep neural network architecture has...
This paper describes about the team SNU MACRO'S strategy for scan the code mission in Maritime RobotX Challenge. Before describing the specific algorithm for scan the code mission, our vehicle system which was developed for completing each mission for the competition is outlined briefly. To recognize the LED color of the buoy, image processing algorithm is divided into three step, including preprocessing,...
We propose a novel marker for robot's grasping task which has the following three aspects: (i) it is easy-to-find in a cluttered background, (ii) it is calculable for its posture (iii) its size is compact. The proposed marker is composed of a random dots pattern, and uses keypoint detection and a scale estimation by Spectral SIFT for dots detection and data decoding. The data is encoded by the scale...
In this paper is presented the integration of diverse modules for people fallen detection by a mobile service robot. This integration has been achieved in the middleware ROS (Robotics Operation System). The proposed implementation are arranged over an modular architecture of three layers: Hardware, Processing and Decision. The modules implemented are on the processing layer. The first module uses...
In this paper, we propose a method to correct the over- and underexposed regions in images. For the correction of over- and underexposed regions, multiple light sources are used to obtain several images whose over- and underexposed regions are in different positions. The image processing consists of four steps. Firstly, multiple images are captured by alternately turning on and off the illuminations...
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