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In this paper we introduce a novel planning algorithm which we call the remembering exploration based single-query probabilistic planning algorithm, RESPP. It uses a remembering exploration algorithm as extension method of the tree data structure of RESPP. RESPP discriminates between explored nodes and unexplored nodes in the tree data structure, and uses only the unexplored nodes for the extension...
We present preliminary results of an algorithm for detecting obstacle-free regions in indoor environments using both color and texture information for visual robot navigation. By modeling color information in the L*u*v* color space, a color-based segmentation is performed to find similar regions. This segmentation yields a set of regions that are joined together into single areas using texture information...
A novel vision method is proposed to correct the robot heading angles in this paper. The salient feature point with known relative position to the target was chosen as the reference point. And the pose adjustment quantities of the robot were determined according to the navigation curve which is composed of the images of the reference point. This algorithm uses only one reference point and has the...
The paper gives a new color pattern based on contrasting the advantages and disadvantages of several kinds of color tag schemes. It adopts HSI color space and improves the transition from RGB color model to HSI color model by analyzing the particular characteristic of RGB color model, YUV color model and HSI color model. The test results and the site operations prove the new color pattern and the...
This paper uses Bumblebee stereo vision system to reconstruct the 3D terrain for patrol robot. Firstly, with the selected points in the disparity image, the ground plane equation of the current frame is calculated by the RANSAC (Random Sample Consensus) algorithm, and then estimated and predicted by the Kalman filter. Secondly, the elevation image is obtained through the distance between the obstacle...
This paper presents a method to automatically detect faults in transmission lines by using thermographie images. It involves the acquisition of infrared images over a network and its processing. Since the method is intented to be used embedded in a robot, low demands on processing power are required, in order to enable inspection on large extensions of transmission lines. The automatic inspection...
Concrete pipes are used in a variety of areas for conducting media underground (e.g. wastewater, cooling water, etc.) or for transportation purposes. Regular cleaning and inspection is required to ensure the static integrity of the pipe and to insure against the problems associated with failure of the pipe. In this paper, the SVM-RS system for cleaning and inspecting large concrete pipes will be presented...
We present a stereo vision-aided inertial navigation system and demonstrate its potential in power line inspection at close range using an unmaned aerial vehicle. This is made possible by recent developments in visual odometry and a newly proposed algorithm for the loose coupling of an inertial measurement unit and visual odometry. Our experiments show promising results.
Underwater robots have had a significant contribution in the inspection, maintenance and repair of underwater structures related to the power and oil industry. Underwater robots have a big potential application in Mexico due to, the two federal Mexican companies related with the power and oil are in constant expansion. CIDESI is working in two projects (Shadow water ROV and Deep water ROV) related...
In this paper we present an online algorithm for robustly tracking surgical tools in dynamic environments that can assist a surgeon during in-vivo robotic surgery procedures. The next generation of in-vivo robotic surgical devices includes integrated imaging and effector platforms that need to be controlled through real-time visual feedback. Our tracking algorithm learns the appearance of the tool...
In this paper, we present a robotic system which automatically searches and detects the longitudinal section of the carotid artery using a conventional medical ultrasound diagnostic system. In order to obtain a clear image of the carotid artery ready for medical diagnosis, the authors developed real-time image processing algorithms to detect the carotid artery and tissue layers of its walls in the...
Cell manipulation has received considerable attentions in recent years. Most of cell manipulations are performed manually without guarantee of high precision and high throughput. This paper reports our latest research on integrating robotics technologies into optical tweezers system for manipulation and biomechanical characterization of human red blood cells (RBCs). We first demonstrate the effectiveness...
A team of robots working to explore and map an area may need to share information about landmarks so as to register their local maps and to plan effective exploration strategies. In previous papers we have introduced a combined image and spatial representation for landmarks: terrain spatiograms. We have shown that for manually selected views, terrain spatiograms provide an effective, shared representation...
Accurate, efficient and robust location recognition is a fundamental task for any mobile robot. This paper presents a new approach using visual features to efficiently represent a series of locations along a path in an indoor environment. In the training stage, local features which are detected across multiple images from a single tour are combined to represent a real-world landmark, modelled by the...
This paper proposes a new localization method for outdoor navigation using a stereo camera only. Vision-based navigation in outdoor environments is still challenging because of large illumination changes. To cope with various illumination conditions, we use 2D occupancy grid maps generated from 3D point clouds obtained by a stereo camera. Furthermore, we incorporate salient line segments extracted...
The world we live in is labeled extensively for the benefit of humans. Yet, to date, robots have made little use of human readable text as a resource. In this paper we aim to draw attention to text as a readily available source of semantic information in robotics by implementing a system which allows robots to read visible text in natural scene images and to use this knowledge to interpret the content...
Three dimensional point clouds acquired by range scanners often do not represent the environment precisely due to noise and errors in the acquisition process. These latter systematical errors manifest as deformations of different kinds in the 3D range image. This paper presents a novel approach to correct deformations by an analysis of the structures present in the environment and correcting them...
This paper proposes a model for trail detection that builds upon the observation that trails are salient structures in the robot's visual field. Due to the complexity of natural environments, the straightforward application of bottom-up visual saliency models is not sufficiently robust to predict the location of trails. As for other detection tasks, robustness can be increased by modulating the saliency...
In this paper, we report on our development of a robotic system that assists people in accomplishing simple tasks in daily life (e.g., retrieving objects for handicapped and elderly people). These tasks, inevitably involve detecting various kinds of objects. In particular, here, we present an interactive method to detect objects using spatial information. Our experimental results confirm the usefulness...
We present the Viewpoint Feature Histogram (VFH), a descriptor for 3D point cloud data that encodes geometry and viewpoint. We demonstrate experimentally on a set of 60 objects captured with stereo cameras that VFH can be used as a distinctive signature, allowing simultaneous recognition of the object and its pose. The pose is accurate enough for robot manipulation, and the computational cost is low...
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