For many applications in the fields of robotics, Satellite Imagery and Medical Imaging demanding real-time solutions, recognizing the crucial parts or structures in the given images continues to attract more attention...
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ISBN:
(纸本)9810474806
For many applications in the fields of robotics, Satellite Imagery and Medical Imaging demanding real-time solutions, recognizing the crucial parts or structures in the given images continues to attract more attention. Thus, the paramount factor in these computer vision related fields is matching the objects in the images. Often graphs are used to represent the objects. It is well-known that graph matching is NP-complete problem in general. To accomplish the need of real-time solutions, various lower order complexity algorithms are developed with specific conditions. Here, a novel Node Neighbour Isomorphism (NNI) is introduced which efficiently matches two graphs in O(n4) where n is the number of vertices in both the graphs which can be weighted and attributed. Using this NNI, the vertices of the graphs are grouped mutually exclusively. Instead of matching all the vertices, only the relevant NNI vertices alone are matched paving way for ample efficiency by reducing the number of matching operations. The algorithm is implemented on Sun Ultra 10 and results of crucial examples and random graphs are also tabled. The run-time performance and novality of the algorithm exemplifies the efficiency of the algorithm which also exhibits parallelism. The algorithm is compared with standard methods and requires the minimal time for matching the graphs.
The 3D robot simulation system COSIMIR® (Cell Oriented Simulation of Industrial Robots) [1] is developed at the Institute of robotics Research (IRF) in cooperation with industrial partners. The features of COSI...
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ISBN:
(纸本)1864671149
The 3D robot simulation system COSIMIR® (Cell Oriented Simulation of Industrial Robots) [1] is developed at the Institute of robotics Research (IRF) in cooperation with industrial partners. The features of COSIMIR® are covering the whole range of industrial workcell simulation. The common way of doing a simulation starts with the modeling of the integrated objects like robots, other mechanisms, e.g. conveyor belts and automated presses, and the objects surrounding the workcells, e.g. walls. The next step is the creation of the layout, especially the reachability analysis to determine the placement of the robotic manipulators and their workpieces. Afterwards the programs for the different means of automation are developed, tested, and optimized. This work is completely done in the simulation environment and is based on the defined model of the workcell, without using the physical robots. The final step is the download of the programs into the physical robot controllers on the shop floor. The innovative software system called COSIMIR® Educational, which is presented in this article, especially focuses on the robot programming. The system is intended to be used as a training environment for robot programmers. Additionally, the COSIMIR® robotics Assistant, a multimedia teachware, was developed and integrated for educational and training purposes the.
This paper outlines some of the issues that were considered during the development of a sensor for an underground range measurement application. These include a description of the working environment that drives the s...
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This paper outlines some of the issues that were considered during the development of a sensor for an underground range measurement application. These include a description of the working environment that drives the selection of a particular technology and some of the tradeoffs that were made to accommodate manufacturing and reliability issues. It concludes with a brief overview of the sensor and its performance.
We propose the use of robotic and haptic technology to develop haptic information displays for computer-assisted surgery applications. Such devices provide force and/or tactile feedback to a surgeon to communicate inf...
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We propose the use of robotic and haptic technology to develop haptic information displays for computer-assisted surgery applications. Such devices provide force and/or tactile feedback to a surgeon to communicate information that is difficult or impossible to communicate via a graphical display alone. Haptic information displays differ from autonomous robots and teleoperators used in surgical applications, and have different requirements than the haptic devices designed for training and simulation of surgical procedures. A haptic information display based on Barrett Technology's Whole-Arm Manipulator is introduced and early experiments for two different classes of medical applications are discussed. This new application area raises open research questions in the areas of haptic robotic systems and human machine interaction.
This paper presents experimental demonstrations and verification of a vision-based stratified motion planning method for the case where the base manifold upon which the motion planning occurs is not smooth. Robotic ap...
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This paper presents experimental demonstrations and verification of a vision-based stratified motion planning method for the case where the base manifold upon which the motion planning occurs is not smooth. Robotic applications of the method include motion planning for legged robotics over non-smooth (but known) terrain and manipulation of non-smooth objects with multiple robotic manipulators. Experimental results with multiple robots manipulating a common non-smooth object are presented.
This paper deals with the design of a two-degree-of-freedom spherical electrical actuator for mobile robotic applications. It presents the different steps involved in this design, namely the choice of the actuation pr...
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This paper deals with the design of a two-degree-of-freedom spherical electrical actuator for mobile robotic applications. It presents the different steps involved in this design, namely the choice of the actuation principle, the modelling of the motor (including the electromechanical) the sizing and the manufacture of a first prototype.
Three dimensional terrain maps are useful representations of environments for various robotic applications. Unfortunately, sensor data (from which such maps are built) is uncertain and contains errors which are usuall...
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Three dimensional terrain maps are useful representations of environments for various robotic applications. Unfortunately, sensor data (from which such maps are built) is uncertain and contains errors which are usually not accounted for in existing terrain building algorithms. In real-time applications, it is necessary to quantify these uncertainties to allow map construction decisions to be made online. This paper addresses this issue by providing a representation that explicitly accounts for sensing uncertainty. This is achieved through the use of stochastic simulation techniques. The result is in an algorithm for online 3D multiresolution surface reconstruction of unknown, and unstructured environments. Results of the surface reconstruction algorithm in a real environment are presented.
Both simultaneous localization and mapping (SLAM) and detection and tracking of moving objects (DTMO) play key roles in robotics and automation. For certain constrained environments, SLAM and DTMO are becoming solved ...
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Both simultaneous localization and mapping (SLAM) and detection and tracking of moving objects (DTMO) play key roles in robotics and automation. For certain constrained environments, SLAM and DTMO are becoming solved problems, but for robots working outdoors and at high speeds, SLAM and DTMO are still incomplete. In earlier works, SLAM and DTMO are treated as two separate problems. In fact, they can be complementary to one another. In this paper, we present a new method to integrate SLAM and DTMO to solve both problems simultaneously for both indoor and outdoor applications. The results of experiments carried out with CMU Navlab8 and Navlab11 vehicles with the maximum speed of 45 mph in crowded urban and suburban areas verify the described work.
Simulation techniques in the area of manufacturing automation have become more and more important. Thus, there are several tools available for planning and offline-programming of automated production processes. We des...
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Simulation techniques in the area of manufacturing automation have become more and more important. Thus, there are several tools available for planning and offline-programming of automated production processes. We describe an innovative universal simulation system, called COSMIR/sup /spl reg// Factory. Based on a unique approach to parallel simulation this tool extends the use of manufacturing simulations. On the one hand, the presented system facilitates the simulation of complex manufacturing processes. On the other hand, the once developed simulation model is suited for further applications like 3D process visualization, teleservice, and virtual training of operators. Beside the technical description of the system's architecture, we present a practical example comprising the simulation of a production line and the connection to a superimposed controller.
This paper presents an overview of the work being conducted by the Australian Centre for Field robotics (ACFR) and the CRC for mining technology and equipment (CMTE) into sensors and systems for real-time environment ...
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This paper presents an overview of the work being conducted by the Australian Centre for Field robotics (ACFR) and the CRC for mining technology and equipment (CMTE) into sensors and systems for real-time environment imaging. Radar is perhaps the only sensor capable of performing imaging tasks in environment where high levels of dust, water vapour, and rain must be contended with. Methods of visualizing the radar data for various applications are presented.
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