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The article presents a way of visualizing point clouds created by 3D scanning in a coal mine. The first part focuses on the choice of individual algorithms for point cloud pre-processing (using the library PCL — Point Cloud Library), namely voxelization, outlier removing and smoothing. Then it is described the main rendering algorithm of the software — the chosen way of point rendering and some more...
Detecting and tracking a human from a mobile robot platform has several applications in service robotics where a robot is expected to assist humans. In this paper, we propose a novel interest point-based algorithm that can track a human reliably under several challenging situations like variation in illumination, pose change, scaling, camera motion and occlusion. The limitations of point-based methods...
In this paper, a Simple Personal Identification (SPI) method using Dress Color Information (DCI) for guide robots is proposed. The DCI is a small number of color information that is only calculated at narrow areas around a user's (guided person's) joint positions obtained via KINECT on a mobile robot. The SPI method includes not only the person's skeletal information but also the DCI. This method...
The design and development of an Intelligent Robotic Donation Box (IRDB) system as a typical final year project in Mechatronics engineering is presented in this paper. The developed IRDB system has the capability of collecting donation from people in an organized assembly or gathering. Also incorporated into this system is the ability to attract attention of people by making audible sound, gesture...
An embedded video processing system is explained which tracks an object in real-time through a parallel processing architecture designed for an FPGA. Mechanical assembly of the particular mobile robot we utilized is also discussed, although the system can easily be ported to any mobile platform. The video processing is completely based on point function, which allows for straight-forward parallelization...
We propose an algorithm for generating navigation summaries. Navigation summaries are a specialization of video summaries, where the focus is on video collected by a mobile robot, on a specified trajectory. We are interested in finding a few images that epitomize the visual experience of a robot as it traverses a terrain. This paper presents a novel approach to generating summaries in form of a set...
This paper describes the initial steps in the development of an object detection system for manipulation purposes, to be embedded in a mobile robot. The goal is to design a robotic system to aid workers in a manufacturing plant. The proposed implementation involves the integration of a Field Programmable Gate Array (FPGA) based electronic module with the manipulator arm of the robotic platform. The...
This paper describes the development of a FPGA-based object detection algorithm for manipulation purposes in a mobile robot. The target application is a robotic system which aids workers in a manufacturing plant. The whole system is provided with a camera which captures images of the objects that can be found in the environment. The FPGA extracts the most useful data from these images and performs...
Mobile robots rely on their ability of scene recognition to build a topological map of the environment and perform location-related tasks. In this paper, we describe a novel lightweight scene recognition method using an adaptive descriptor which is based on color features and geometric information for omnidirectional vision. Our method enables the robot to add nodes to a topological map automatically...
This paper presents results achieved in the frames of a national research project (titled ldquoDIANOEMArdquo), where visual analysis and sign recognition techniques have been explored on Greek Sign Language (GSL) data. Besides GSL modelling, the aim was to develop a pilot application for teleoperating a mobile robot using natural hand signs. A small vocabulary of hand signs has been designed to enable...
Application of a vision system and a remote control car to an elective fourth year design project in electrical engineering is discussed. The design project involves learning and application of various sensors, actuators, control theories. The end product of the design project is an intelligent vehicle that is able to follow an emulated highway automatically. A camera with embedded color tracking...
One important feature of a cognitive system is to perceive and understand its environment and to adapt its actions to changes and unforeseen situations. In this paper, we propose a scheme for visual surprise detection in cognitive mobile robots. With the robot's observation and a set of reference images previously acquired near its current viewpoint, a pixel-wise surprise trigger is computed using...
Landmark recognition is identified as one important research area in robot navigation systems. It is a key feature for building robots capable of navigating and performing tasks in human environments. However, current object recognition research largely ignores the problems that the mobile robot context introduces. We developed a landmark recognition system which is used by a humanoid robot to identify...
A mobile robot with various types of sensors via ubiquitous networks is introduced. We designed a mobile robot composed of TCP/IP network, wireless camera and several sensors in an environment, and show object avoiding and tracking methods necessary for providing diverse services desired by the people. To avoid obstacles (objects), active sensors such as infrared rays sensors and supersonic waves...
In this paper we present a system for appearance-based topological mapping and localisation using vision data. The algorithms are designed for robots which are equipped with FPGA cameras. Such cameras do not provide the entire image to the robot but simple image features like colour histograms.
This paper presents a new approach for the classical Markov localization method for mobile robots by using image quality evaluation. Machine learning techniques have been used to obtain the quality of the images. This quality value is used to select the best information source, between odometry and sensor information. Real experiments in different scenarios of the Robocup standard platform league...
A key problem of a mobile robot system is how to localize itself and detect objects in the workspace. In this paper, a multiple sensor based robot localization and object pose estimation method is presented. First, optical encoders and odometry model are utilized to determine the pose of the mobile robot in the workspace, with respect to the global coordinate system. Next, a CCD camera is used as...
A mobile robot operating in an urban environment has to navigate around obstacles and hazards. Though a significant amount of work has been done on detecting obstacles, not much attention has been given to the detection of drop-offs, e.g., sidewalk curbs, downward stairs, and other hazards where an error could lead to disastrous consequences. In this paper, we propose algorithms for detecting both...
People tracking and localization in situations with coexisting service robots is a challenging task due to the non-rigid nature of human body, complex background and frequent occlusions among people and robots. A multi-view approach is proposed to people-tracking and localization whilst the robotpsilas capability of perceiving environment is utilized. Initiated by person detection, tracking within...
The self-localization problem of mobile robot is considered as one of the most difficult problems in robotics, and is generally handled through stochastic methods. This paper discusses a stochastic approach of soccer robot self-localization using Monte-Carlo localization (MCL) method. In MCL, environment information of lines, goals, balls, etc. is first retrieved and processed; such information is...
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