In this paper, we present our current work in the design and characterisation of a new shape memory alloy (SMA)-based High Phase Order Motor (HPOM). The motor can be used either in stepping mode or in servo mode of op...
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ISBN:
(纸本)9781479979202
In this paper, we present our current work in the design and characterisation of a new shape memory alloy (SMA)-based High Phase Order Motor (HPOM). The motor can be used either in stepping mode or in servo mode of operation. Each phase of the motor consists of an SMA wire with a spring. The principle of operation of the HPOM is presented. In its operation the motor resembles a stepper motor though the actuation principles are different and hence has been characterised similar to a stepper motor. This motor can be actuated in either direction depending on which SMA is actuated, which are presented in this work. The motor is modelled and simulated and the results of simulations and experiments are presented.
We propose a flexible computer vision system using magnetic sensors. The system enables a flexible free scanning of a CCD camera and a laser slit using 3D magnetic sensors. Many numbers of views of each model from dif...
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We propose a flexible computer vision system using magnetic sensors. The system enables a flexible free scanning of a CCD camera and a laser slit using 3D magnetic sensors. Many numbers of views of each model from different angles can be taken on measuring the configuration between a CCD camera and a laser slit projector simultaneously. The information of different views is combined to reconstruct the 3D object on a computer display. In this paper, the application for pipe measurement is introduced. Experimental results show the feasibility of our system.
In this paper we propose the use of a redundant array of structured light scanning cameras to monitor a collaborative robot workspace. We present the model and suggest a minimum number of such cameras required to moni...
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ISBN:
(纸本)9781479979202
In this paper we propose the use of a redundant array of structured light scanning cameras to monitor a collaborative robot workspace. We present the model and suggest a minimum number of such cameras required to monitor a particular area. We then propose a concept for segmenting the workspace into different sub volumes to allow for different categories of obstacles. We then propose that a voting scheme will allow us to process multiple camera inputs in real-time in a safe fashion. We perform initial experiments and draw appropriate conclusions before defining further work.
The paper introduces the multi-robot area coverage problem, wherein a group of robots must inspect every point of a 2-dimensional test environment and surround all contaminations (or enemies) found. Selforganizing rob...
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ISBN:
(纸本)9781479979202
The paper introduces the multi-robot area coverage problem, wherein a group of robots must inspect every point of a 2-dimensional test environment and surround all contaminations (or enemies) found. Selforganizing robotic systems are able to accomplish complex tasks in a changing environment, using local interactions among individual agents and local environment without an external global control. Our interest in this area is motivated by an involvement in a project with a goal to solve tasks of difficult area coverage and surveillance by a large team of small autonomous robots. In the paper, the architecture to achieve this is described, and simulation results are presented to compare efficiency of coverage of the area and surround of found targets using robots groups having different sensors ranges.
This paper introduces a comparison of a linear and nonlinear one step predictive models that were used to describe the relationship between human emotional signal - excitement - as a reaction to a virtual 3D face feat...
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This paper introduces a comparison of a linear and nonlinear one step predictive models that were used to describe the relationship between human emotional signal - excitement - as a reaction to a virtual 3D face feature - distance between eyes. An input-output model building method is proposed that allows building a stable model with the least output prediction error. Validation was performed using the recorded signals of six volunteers and the following measures: prediction error standard deviation, relative prediction error standard deviation, and average absolute relative prediction error. Validation results of the models showed that both models predict excitement signal in relatively high prediction accuracy.
Automated distribution warehouses in which pallet and roll pallet loads are transported by means of forklift AGVs are considered in this work, with the objective of defining a mathematical model which accurately repre...
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ISBN:
(纸本)9781479979202
Automated distribution warehouses in which pallet and roll pallet loads are transported by means of forklift AGVs are considered in this work, with the objective of defining a mathematical model which accurately represents the behaviour of AGVs in the system. AGVs can move freely in the warehouse (an open path AGV system is adopted), and their transportation activities can be modelled as a sequence of elementary or basic actions. In the paper, a coloured Petri net (CPN) model is proposed. It allows representing any sequence of elementary actions of AGVs (including pick-up and drop-off activities), and accurately models the interactions among AGVs, in order to guarantee the safety during the execution of activities. The CPN model can be used to analyse and implement deadlock prevention and deadlock recovery strategies, and it has been adopted in the building of a discrete-event simulator which is employed to analyse the system's performance and to evaluate scheduling policies for transportation tasks.
Humanoid robots are conceived to resemble the body and comportment of the human beings. Among the behavior repertoire, the possibility of executing visually-guided tasks is crucial for individual adaptation and relies...
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ISBN:
(纸本)9781479979202
Humanoid robots are conceived to resemble the body and comportment of the human beings. Among the behavior repertoire, the possibility of executing visually-guided tasks is crucial for individual adaptation and relies on the on-board sensory system. However, the research on walk and localization is far from conclusive. Given the difficulties in the processing of the visual feedback, some studies have treated the problem by placing external sensors on the environment;thus neglecting the corporal metaphor. Others, despite exploring on-board solutions;have relied on an extensive model of the environment, thus considering the system as an information processing unit, abstracted from a body. This work presents a methodology to achieve embodied localization to serve visually-guided walk. The solution leans on robust segmentation from monocular vision, ego-cylindrical localization, and minimal knowledge about stimuli in the environment.
Traffic and road transport conditions are strongly influenced by the decisions of drivers. The more information they receive, the better decisions may be taken about their behavior. This is especially important in the...
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ISBN:
(纸本)9781479979202
Traffic and road transport conditions are strongly influenced by the decisions of drivers. The more information they receive, the better decisions may be taken about their behavior. This is especially important in the transport of goods, since drivers are subject to traffic laws about maximum driving time and minimum time rest. In this paper a multi-agent system for negotiated management of parking spaces in road rest areas is presented. This system dynamically adapts itself to the preferences and needs of the drivers of goods about parking requests. The system is shown to be robust to incidents regarding the closure of road rest areas and an increased volume of freight traffic. The results also show that the number of illegal parkings is reduced resulting in greater road safety.
This paper develops a wireless communication system that connects robots with many remote control devices used by many different users. The most important issue of this system is safety. To get high safety level a qui...
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ISBN:
(纸本)9781479979202
This paper develops a wireless communication system that connects robots with many remote control devices used by many different users. The most important issue of this system is safety. To get high safety level a quick and efficient communication system is required. The emergency system and its communication system must work in parallel and independently of the main control of the robot. The robot must react to an emergency signal, but as a previous step, it must make sure that the security system is enabled and it so must also have some knowledge of how many remote control devices are related and if any of them has lost the wireless connection. Besides all the research and design stage to develop the communication system, the system has been implemented and tested. To build it, a microcontroller Arduino Fio and a radio frequency module Xbee has been used. Finally, the system has been tested in order to characterize the communication system, settling, connection time and the battery life.
In this paper, we present a robotic system capable of mapping indoor, cluttered environments and, simultaneously, detecting people and localizing them with respect to the map, in real-time, using solely a Red-Green-Bl...
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ISBN:
(纸本)9781479979202
In this paper, we present a robotic system capable of mapping indoor, cluttered environments and, simultaneously, detecting people and localizing them with respect to the map, in real-time, using solely a Red-Green-Blue and Depth (RGB-D) sensor, the Microsoft Kinect, mounted on top of a mobile robotic platform running Robot Operating System (ROS). The system projects depth measures in a plane for mapping purposes, using a grid-based Simultaneous Localization and Mapping (SLAM) approach, and pre-processes the sensor's point cloud to lower the computational load of people detection, which is performed using a classical technique based on Histogram of Oriented Gradients (HOG) features, and a linear Support Vector Machine (SVM) classifier. Results show the effectiveness of the approach and the potential to use the Kinect in real world scenarios.
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