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3D objects classification and retrieval are a growing research topic with many application in different areas, such as robotics, virtual/augmented reality, medicine and physics. In robotics, 3D objects can serve as robust landmarks for pose estimation and localization, so robust 3D object recognition methods are very important tools in this field. Co-occurrence matrices were used for texture classification...
In the field of architecture, 3D printing technology has the advantage of shortening the construction period by continuous addition and installing the desired shape and structure directly on site. However, the conventional 3D printer structure has limitations in practical use because of its versatility, mobility, and limited accessibility. In this study, a 3-axis gantry robot type 3D printing simulator...
In the modern industry, human-robot collaboration is becoming more and more important. With the quick development of the small production, the demand of flexibility is growing heavily. Gesture recognition is important for the collaborative work of humans and robots. In industrial applications, the performance of such systems affects the safety of human workers and their manufacturing efficiency. In...
Many people are expecting for robots to support home work. However, in order to actually do such work, it is necessary for the robot to acquire the complex functions of human hands. Therefore, we developed a humanoid type hand that can be used for humanoid robot and prosthetic hand, and verified various actions of daily life to prove its function. As a result, this robot hand could grab eggs and vegetables,...
Suspended centrifuge is post-processing equipment of the process flow, it is widely used in chemical, pharmaceutical, light industry, food industry, especially suitable for the separation of a and b cream in sugar factory. Drum is a major part of the suspended centrifuge, its structure, shape and process performance are not only related to the production capacity and process effect of the centrifuge,...
We present a fully integrated autonomous multirobot aerial system for finding and collecting moving and static objects with unknown locations. This task addresses multiple relevant problems in search and rescue (SAR) robotics such as multi-agent aerial exploration, object detection and tracking, and aerial gripping. Usually, the community tackles these problems individually but the integration into...
This study was carried out within the scope of an undergraduate thesis. To produce an Arduino based two dimensional plotter mechanical parts were collected, assembled and targeted mechanism was created. After the integration of the stabilizers into the mechanism that was created and the project framework is revealed in a healthy way, the hardware structure is completed by adding the necessary electronic...
Micro-blog is regarded as one of the most popular platforms for information sharing based on Web 2.0 technology. In this paper, we propose a novel Micro-blog influence evaluation method by modeling users' behaviors in Micro-blog platform. Firstly, considering the Micro-blog API data capture method program is simple, we aim to achieve a higher efficiency and consistency of data crawling by relieving...
A common scenario in Search and Rescue robotics is to map and patrol a disaster site to assess the situation and plan potential missions of rescue teams. Particular importance has to be given to changes in the environment as these may correspond to critical events like building collapses, movement of objects, etc. This paper presents a change detection pipeline for LiDAR-equipped robots to assist...
Dishwashers are owned by less households than many of other home appliances in Japan. One of the reasons is that it is difficult and troublesome to decide the layout of dishes in a compact dishwasher rack. We develop an anytime algorithm with a genetic algorithm (GA) for optimization of dishwasher loading. This system shows the temporary best layout to human users with 3D graphics. The developed algorithm...
Autism and Autism Spectrum Disorders (ASD) are general terms for a group of complex disorders of brain development. Autistic children exhibit certain characteristics in varying degrees including difficulties in verbal/non-verbal communication, social interaction and repetitive behaviors. This paper discusses the role of Virtual Learning Environments (VLEs) in helping autistic children learn science...
In the geological exploration of the Adit, the texture, section, joint and other rock structural information are important factors to determine the stability of the Adit. Therefore, the collection and analysis of rock data information are the premise work and the key process of the safe production. Faced with the actual requirements of Adit 3D reconstruction, an automatic 3D reconstruction system...
This paper presents a new under-actuated resilient robot that has the three recovery processes available, as we proposed elsewhere. The new feature with the proposed resilient robot is such that all the recovery strategies can be accomplished in a 2D plane instead of a 3D space, thus reducing the complexity of the recovery process. The robot also has the ability of switching between a fully-actuated...
We present an approach to learning features that represent the local geometry around a point in an unstructured point cloud. Such features play a central role in geometric registration, which supports diverse applications in robotics and 3D vision. Current state-of-the-art local features for unstructured point clouds have been manually crafted and none combines the desirable properties of precision,...
With ever-increasing productivity targets in mining operations, there is a growing interest in mining automation. In future mines, remote controlled and autonomous haulers will operate underground guided by LiDAR (Light Detection And Ranging) sensors. We envision reusing LiDAR measurements to maintain accurate mine maps that would contribute to both safety and productivity. Extrapolating from a pilot...
The ability to identify, follow, approach, and intercept a non-stationary target is a desirable capability of autonomous micro aerial vehicles (MAV) and puts high demands on reliable target perception, fast trajectory planning, and stable control. We present a fully autonomous MAV that lands on a planar platform mounted on a ground vehicle, relying only on onboard sensing and computing. We evaluate...
For the operation of Mars rovers the ground team has a set of utilities to generate safe mission planning. A relevant aspect of such planning are the paths that the rover has to to follow to reach the scientific objectives. For path planning, operators use a combination of orbital and surface imagery to analyze the terrain topography to generate a cost map. Applying path planning algorithms over the...
The various techniques are proposed for better semantic segmentation. The neuro-fuzzy technique is proposed for learning common nature between object and structure. The proposed technique work better for robotic environment for fast and efficient results. The proposed technique provides better accuracy as compared to previous technique and work better in semantic segmentation as compared to previous...
Autonomous scene understanding by object classification today, crucially depends on the accuracy of appearance based robotic perception. However, this is prone to difficulties in object detection arising from unfavourable lighting conditions and vision unfriendly object properties. In our work, we propose a spatial context based system which infers object classes utilising solely structural information...
In this paper, we present an object based approach for human-centric partitioning of the environment. Our approach for determining the human-centric regions is to detect the objects that are commonly associated with frequent human presence. In order to detect these objects, we employ state of the art perception techniques. The detected objects are stored with their spatio-temporal information in the...
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