The problem of development a sustainable efficient and accurate augmented reality system possessing the interactivity property and basically implementing markerless approach for supplementing the real scene is address...
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ISBN:
(纸本)9783319312934;9783319312910
The problem of development a sustainable efficient and accurate augmented reality system possessing the interactivity property and basically implementing markerless approach for supplementing the real scene is addressed in this paper. Custom implementation is based on applying of feature-based SLAM algorithm, which is resistant to change light conditions, able to track both textured and non-textured objects in real-time mode achieved by introducing a once-performed offline system teaching step. The proposed solution is universal because of the system's configurability in accordance with the desirable result.
The proceedings contain 65 papers. The topics discussed include: decision evolution set: a new method of rough set in time series;multiple alignments of data objects and generalized center star algorithm;harnessing fu...
ISBN:
(纸本)9781614998273
The proceedings contain 65 papers. The topics discussed include: decision evolution set: a new method of rough set in time series;multiple alignments of data objects and generalized center star algorithm;harnessing fuzziness of the pragmatic rule-design without IF-THEN rules;TSP solver: an integrated framework for solving traveling salesman problems consistent with TSPLIB;vibration waveform classification and fault diagnosis of railway train based on fractal dimension and nearest neighbor clustering;a spanning matroidal structure in rough sets and its axiomatic characterizations;designing robust spatial filter for motor imagery electroencephalography signal classification in brain-computer interface systems;application of big data on formative assessment system for foreign language learning;an improved spinal neural system based method for mobile robot navigation;performance optimization of self reference plastic optical fiber displacement sensors;simulation and experiment research of double-motor drive and control system for pipe belt conveyor based on master-slave control method;investigation on gate capacitances fluctuation due to work-function variation in metal-gate FinFETs;a RBF neural network based data aggregation algorithm for wireless sensor networks;an wireless mobile localization algorithm for underground coal mine;and the application of internet of things technology in power transmission line condition monitoring system.
The present book includes a set of selected best papers from the 3rdinternationalconference on Recent Developments in Science, Engineering and technology (REDSET 2016), held in Gurgaon, India, from 21 to 22 October ...
ISBN:
(纸本)9789811045547
The present book includes a set of selected best papers from the 3rdinternationalconference on Recent Developments in Science, Engineering and technology (REDSET 2016), held in Gurgaon, India, from 21 to 22 October 2016. The conference focused on the experimental, theoretical and application aspects of innovations in computational intelligence and provided a platform for the academicians and scientists. This book provides an insight into ongoing research and future directions in this novel, continuously evolving field. Many decades have been devoted to creating and refining methods and tools for computational intelligence such as Artificial Neural Networks, Evolutionary Computation, Fuzzy Logic, Computational Swarm intelligence and Artificial Immune Systems. However, their applications have not yet been broadly disseminated. Computational intelligence can be used to provide solutions to many real-life problems, which could be translated into binary languages, allowing computers to process them. These problems, which involve various fields such as robotics, bioinformatics, computational biology, gene expression, cancer classification, protein function prediction, etc., could potentially be solved using computational intelligence techniques.
The development of mobile robots or in general autonomous mobile systems is a complex task. These systems are characterized by a set of sensors and actuators as well as software running on computing hardware. Dependin...
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ISBN:
(纸本)9783319312934;9783319312910
The development of mobile robots or in general autonomous mobile systems is a complex task. These systems are characterized by a set of sensors and actuators as well as software running on computing hardware. Depending on the foreseen tasks of designing a mobile system, the overall complexity of the design may range from a few integrated components to several tens of sensors and actuators including distributed information processing mechanism. Besides system modeling and simulations, the design process involves system testing by performing several experiments. A difficult part in this testing phase is to identify the relation between the observed system behavior and the underlying implemented hardware component or part of software. With our test environment and a specific validation method, an iterative design cycle can be enabled that helps to speed up the design process as well as achieve the system behavior that is defined by the specification.
robots can learn knowledge by observing demonstration of humans. As tutees, robots need to not only observe human behaviors, but also make proper feedbacks for human tutors because learning is an interactive process i...
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ISBN:
(纸本)9783319312934;9783319312910
robots can learn knowledge by observing demonstration of humans. As tutees, robots need to not only observe human behaviors, but also make proper feedbacks for human tutors because learning is an interactive process in which information is delivered in bidirectional ways between humans and robots. Gaze is an adequate method for robots to provide human tutors with feedbacks that robots are concentrating on current learning because gaze directly represents where they are paying attention to. This paper proposes a gaze control algorithm with a state machine in learning from demonstration. A human tutor shows demonstration in front of a robot tutee, and the robot tutee observes the demonstration for learning. The robot tutee perceives external environment through its camera, recognizes a human and objects, and figures out a state at which the robot tutee is situated. Then, the robot tutee gazes at proper targets that are predefined by the state machine. The human tutor also adjusts the demonstration to make learning more effectively according to the robot tutee's feedbacks. The effectiveness of the proposed method is demonstrated through the experiments with a robotic head with 17 degrees of freedom, developed in the RIT Lab., KAIST.
In this paper, space manipulator man machine cooperation system structure and operation mode of Mir Space Station and international Space Station are reviewed briefly. Based on this, system structure, control mode, op...
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ISBN:
(数字)9783319652986
ISBN:
(纸本)9783319652986;9783319652979
In this paper, space manipulator man machine cooperation system structure and operation mode of Mir Space Station and international Space Station are reviewed briefly. Based on this, system structure, control mode, operation mode of Chinese first space manipulator and dexterous hand man machine cooperation experiment are introduced. Mathematics models and ground tests methodology of man machine cooperation are given. Via on orbit experiment, flight scheme and ground validation of space manipulator and dexterous hand man machine cooperation are reasonable. Through Chinese first on orbit space manipulator and dexterous hand man machine cooperation technology experiments, not only the technology foundation of man machine cooperation is established, but also it is accumulated experience for Chinese space robot.
The information framework aims to holistically address the problems and issues posed by unwanted peat and land fires within the context of the natural environment and socioeconomic systems. Informed decisions on plann...
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The information framework aims to holistically address the problems and issues posed by unwanted peat and land fires within the context of the natural environment and socioeconomic systems. Informed decisions on planning and allocation of resources can only be made by understanding the landscape. Therefore, information on fire history and air quality impacts must be collected for future analysis. This paper proposes strategic framework based on technology approach with data fusion strategy to produce the data analysis about peat land fires and air quality management in in South Sumatera. The research framework should use the knowledge, experience and data from the previous fire seasons to review, improve and refine the strategies and monitor their effectiveness for the next fire season. Communicating effectively with communities and the public and private sectors in remote and rural landscapes is important, by using smartphones and mobile applications. Tools such as one-stop information based on web applications, to obtain information such as early warning to send and receive fire alerts, could be developed and promoted so that all stakeholders can share important information with each other.
This paper focuses on the motion planning method for a novel mobile welding robot (MWR), based on the screw theory. The robot consists of a vehicle unit and a 5-DOF manipulator, which equipped a torch at the end of ma...
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ISBN:
(纸本)9783319652924;9783319652917
This paper focuses on the motion planning method for a novel mobile welding robot (MWR), based on the screw theory. The robot consists of a vehicle unit and a 5-DOF manipulator, which equipped a torch at the end of manipulator. In order to finish the welding task, the kinematic motion planning strategy is of great importance. As the traditional strategy which uses inverse kinematic and polynomial interpolation may cause a waste of computing time, the screw theory is chosen to improve the strategy. From the simulation and experiment results, it can be found that the optimal motion planning method is reliable and efficient.
Stroke is one of the leading causes of long-term disability today. Rehabilitation robot can benefit the patients to perform intensive and repetitive task-specific rehabilitation training to enhance motor recovery with...
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ISBN:
(纸本)9783319652894;9783319652887
Stroke is one of the leading causes of long-term disability today. Rehabilitation robot can benefit the patients to perform intensive and repetitive task-specific rehabilitation training to enhance motor recovery with less effort. Engagement in rehabilitation training, namely active rehabilitation is a key factor for patient to get effective recovery. In this paper, we propose an upper-limb exoskeletal underactuated rehabilitation robot with only 2 actuated degrees of freedom (DOFs) for task-specific rehabilitation training. To ensure the patients' engagement in performing training, we used an eye gaze tracking based interaction method to guide the end-point of the robot to move on its workspace, a 2D surface, as a result of performing task-specific rehabilitation training. Finally, some validation experiment is conducted on the interaction efficiency.
Mobile social robots and (semi-) autonomous small size vehicles such as robotic wheelchairs need to understand and replicate pedestrian behaviour, in order to move safely in the crowd and to interact with, move along ...
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ISBN:
(纸本)9783319700229;9783319700212
Mobile social robots and (semi-) autonomous small size vehicles such as robotic wheelchairs need to understand and replicate pedestrian behaviour, in order to move safely in the crowd and to interact with, move along with and transport humans. A large amount of research about pedestrian behaviour has been undertaken by the crowd simulation community, but such results cannot be trivially adapted to robotapplications. We discuss a simple but general recipe to apply an acceleration based pedestrian model ("Social Force Model") to mobile robots, and, as a specific example, we show how to replicate in a group of robots the behaviour of social pedestrian groups.
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