A key component of robotic path planning for monitoring dynamic events is reliable navigation to the right place at the right time. For persistent monitoring applications (e.g., over months), marine robots are beginni...
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ISBN:
(纸本)9781479969357
A key component of robotic path planning for monitoring dynamic events is reliable navigation to the right place at the right time. For persistent monitoring applications (e.g., over months), marine robots are beginning to make use of the environment for propulsion, instead of depending on traditional motors and propellers. These vehicles are able to realize dramatically higher endurance by exploiting wave and wind energy, however the path planning problem becomes difficult as the vehicle speed is no longer directly controllable. In this paper, we examine Gaussian process models to predict the speed of the Wave Glider autonomous surface vehicle from observable environmental parameters. Using training data from an on-board sensor, and wave parameter forecasts from the WAVEWATCH III model, our probabilistic regression models create an effective method for predicting Wave Glider speed for use in a variety of path planning applications.
Virtualization tools, useful softwares that enables tests and evaluation of functionalities, have been used in computer network classes to provide an environment for practice experiments. Although some papers describe...
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Bitwise instructions, loops and indirect data access present challenges to the verification of microcontroller programs. In particular, since registers are often memory mapped, it is necessary to show that an indirect...
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This paper gives an introduction to the essential challenges of software engineering and requirements that software has to fulfill in the domain of automation. Besides, the functional characteristics, specific constra...
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This paper gives an introduction to the essential challenges of software engineering and requirements that software has to fulfill in the domain of automation. Besides, the functional characteristics, specific constraints and circumstances are considered for deriving requirements concerning usability, the technical process, the automation functions, used platform and the well-established models, which are described in detail. On the other hand, challenges result from the circumstances at different points in the single phases of the life cycle of the automated system. The requirements for life-cycle-management, tools and the changeability during runtime are described in detail.
Robotic environment exploration in cluttered environments ronments is a challenging problem. The number and variety of objects present not only make perception very difficult but also introduce many constraints for ro...
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ISBN:
(纸本)9781467363563
Robotic environment exploration in cluttered environments ronments is a challenging problem. The number and variety of objects present not only make perception very difficult but also introduce many constraints for robot navigation and manipulation. In this paper, we investigate the idea of exploring a small, bounded environment (e.g., the shelf of a home refrigerator) by prehensile and non-prehensile manipulation of the objects it contains. The presence of multiple objects results in partial and occluded views of the scene. This inherent uncertainty in the scene's state forces the robot to adopt an observe-plan-act the strategy and interleave planning with execution. Objects occupying the space and potentially occluding other hidden objects are rearranged to reveal more of the unseen area. The environment is considered explored when the state (free or occupied) of every voxel in the volume is known. The presented algorithm can be easily adapted to real world problems like object search, taking inventory, and mapping. We evaluate our planner in simulation using various metrics like planning time, number of actions required, and length of planning horizon. We then present an implementation on the PR2 robot and use it for object search in clutter.
This paper uses a new type of FRI (Finite Rate of Innovation) sampling pattern based Sub-Nyquist sampling model breaked through Shannon theorem that it can get accurate signal reconstruction based on signal informatio...
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The paper presents a hardware architecture for implementing a mobile robot localization approach through encoders' measurements and absolute localization using camera tracking images. This technique has been devel...
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The paper presents a hardware architecture for implementing a mobile robot localization approach through encoders' measurements and absolute localization using camera tracking images. This technique has been developed and implemented for the motion of the robot from an initial position towards another desired position, taking into account the tradeoff between complexity (reducing computation time) and performance (reducing traveling time). The proposed method is implemented on FPGA (Field Programmable Gate Array) board through mixed hardware / software implementation in order to ensure fluid robot navigation. Experimental tests on Xilinx Virtex 5 ML507 proved the effectiveness of the proposed architecture since we have obtained a reduction of 85 % in execution time compared to initial MATLAB version developed on a PC platform.
In modem textile industry, Tissue on line Automatic Inspection (T AI) is becoming an attractive alternative to human vision inspection (HVI). HVI needs a high level of human attention leading to a low level of perform...
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ISBN:
(纸本)9781467352840
In modem textile industry, Tissue on line Automatic Inspection (T AI) is becoming an attractive alternative to human vision inspection (HVI). HVI needs a high level of human attention leading to a low level of performance in term of tissue inspection. Based on the advances in image processing and pattern recognition, T AI can potentially provide an objective and reliable evaluation on the fabric production quality. Most T AI systems claim to be able to detect the presence of defects in fabric products, and precisely locate the defects position. The motivation behind the fabric defect identification is to enable an on-line quality control of the weaving process. In this paper, a method based on texture analysis approach for identifying fabric defects in each image is proposed. Neural Networks and Mutual information are employed to characterize the texture property of a tissue image. A feature extractor is designed based on Mutual Information computation in conjunction with a classifier to minimize the error rate in defect classification.
We are now witnessing the beginning of Ubiquitous Computing era with the success of several start up to find early adopters among the general public for their home automation solutions through crow funding campaigns. ...
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We are now witnessing the beginning of Ubiquitous Computing era with the success of several start up to find early adopters among the general public for their home automation solutions through crow funding campaigns. We believe that in the near future, more and more people will come out with new ideas in relation with ubiquitous computing to make our daily life more and more easy. However, most of them face the challenge to manipulate electronics and to program microcontrollers in their early stage prototypes. Which is not easy for people without solid electronic manipulation background. Today we notice a lack for platforms that facilitates the development of Ubiquitous systems. New approaches helping programming microcontrollers have to be created. One of applications with high potential in ubiquitous computing is robotics. This paper applies the concept of ubiquitous computing for programming and controlling robots in an easy way taking examples of programming robots on the hardware and software level using Arduino and IOIO board.
This paper presents a description of an intelligent control method for controlling an electric wheelchair for several disabled persons. It also describes a non invasive approach based on EEG brain signal that can comm...
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This paper presents a description of an intelligent control method for controlling an electric wheelchair for several disabled persons. It also describes a non invasive approach based on EEG brain signal that can command the wheelchair with cognitive data, eye movements and head gestures. Our technique aim is to cover the largest number of handicapped person.
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