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检索条件"任意字段=International Asia Conference on Informatics in Control, Automation, and Robotics"

共 1478 条记录，以下是221-230 订阅

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Optimal camera placement based resolution requirements for surveillance applications 11

Optimal camera placement based resolution requirements for s...

引用

11th international conference on informatics in control, automation and robotics, ICINCO 2014

作者： Bettahar, Houari Morsly, Yacine Djouadi, Mohand Said Robotics Laboratory Ecole Militaire Polytechnique BP 17 Bordj el Bahri Algiers Algeria

ISBN: (纸本)9789897580390

In this paper, we focus on the problem of optimally placing a mixture of static and PTZ cameras based on the resolution requirement, this configuration will be useful later cameras planning. The static cameras used for detecting an object or an event, this result is used to select the best PTZ camera within the network to identify or recognize this moving object or event. In our work the monitoring area is represented by a grid of points distributed uniformly or randomly (S. Thrun, 2002), then using surface-projected monitoring area and camera sensing model we develop a binary integer programming algorithm. The results of the algorithm are applied successfully to a variety of simulated scenarios.

关键词： Integer programming

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Distributed emergency management with spatial scenarios

Distributed emergency management with spatial scenarios

引用

3rd international conference on informatics in control, automation and robotics

作者： Sapaty, Peter Finkelstein, Robert Filipe, Joaquim Natl Acad Sci Inst Math Machines & Syst Glushkova Ave 42 UA-03187 Kiev Ukraine Robot Technol Inc 11424 Palatine Dr Potomac MA 20854 USA Escola Super Tecnol Setubal Dept Sistemas & Informat P-2910761 Setubal Portugal

ISBN: (纸本)9728865597

A radically new approach will be described for the fully distributed and dynamic management of advanced crisis relief operations and missions. It is based on the installation of a universal "social" module in many existing and massively used data processing and control devices, including (but not limited to) internet hosts, laptops, mobile robots and mobile phones. These modules can collectively interpret a special scenario language while exchanging higher-level program code with accompanying data and control in parallel. This can dynamically integrate any scattered post-disaster human and technical resources into an operable distributed system which, from one side, is effectively supervised externally, and from the other side, is capable of solving complex self-analysis, coordination, survivability, relief, and reconstruction problems autonomously.

关键词： critical infrastructures key resources emergency management emergent societies crisis relief information technologies distributed control WAVE-WP model wearable electronic devices mobile robotics spatial scenarios

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Indexing and matching of video shots based on motion and color analysis

Indexing and matching of video shots based on motion and col...

引用

9th international conference on control, automation, robotics and Vision, 2006, ICARCV '06

作者： Ying, Chen Weiming, Hu Xianglin, Zeng Wanqing, Li Institute of Automation Chinese Academy of Sciences Beijing China SITACS Faculty of Informatics University of Wollongong Australia

ISBN: (纸本)1424403421

This paper concerns two fundamental issues in video shots retrieval: key frame identification and similarity measurement between the key frames. We propose a simple key frame extraction algorithm based on optical flow. The algorithm emphasizes the motion extremum in the shot. Color histograms in HSV color space are adopted to describe the content of the extracted key frames and a new model is proposed to measure the similarity between the key frames from different shots. Preliminary experiments have shown that the proposed method outperforms existing ones in retrieving sport video shots. © 2006 IEEE.

关键词： Video signal processing

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Human motion recognition from 3D pose information: Trisarea: A New Pose-based Feature

Human motion recognition from 3D pose information: Trisarea:...

引用

10th international conference on informatics in control, automation and robotics, ICINCO 2013

作者： Vinagre, M. Aranda, J. Casals, A. Robotics Group Institute for Bioengineering of Catalonia Baldiri Reixac 10-12 08028 Barcelona Spain Universitat Politcnia de Catalunya BarcelonaTech. Jordi Girona 1-3 08034 Barcelona Spain

ISBN: (纸本)9789898565716

The use of pose-based features has demonstrated to be a promising approach for human motion recognition. Encouraged by the results achieved, a new relational pose-based feature, Trisarea, based on geometric relationship between human joints, is proposed and analysed. This feature is defined as the area of the triangle formed by connecting three joints. The paper shows how the variation of a selected set of Trisarea features over time constitutes a descriptor of human motion. It also demonstrates how this motion descriptor based on Trisarea features can provide useful information in terms of human motion for its application to action recognition tasks.

关键词： Motion estimation

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Cooperative area extension of PSO: Transfer learning vs. uncertainty in a simulated swarm robotics

Cooperative area extension of PSO: Transfer learning vs. unc...

引用

10th international conference on informatics in control, automation and robotics, ICINCO 2013

作者： Atyabi, Adham Powers, David M.W. CSEM Centre for Knowledge and Interaction Technology Flinders University Adelaide SA Australia Beijing Municipal Lab. for Multimedia and Intelligent Software Beijing University of Technology Beijing China

ISBN: (纸本)9789898565709

The study investigates the effectiveness of 2 variations of Particle Swarm Optimization (PSO) called Area Extended PSO (AEPSO) and Cooperative AEPSO (CAEPSO) in simulated robotic environments affected by a combinatorial noise. Knowledge Transfer, the use of the expertise and knowledge gained from previous experiments, can improve the robots decision making and reduce the number of wrong decisions in such uncertain environments. This study investigates the impact of transfer learning on robots' performance in such hostile environment. The results highlight the feasibility of CAEPSO to be used as the controller and decision maker of a swarm of robots in the simulated uncertain environment when gained expertise from past training is transferred to the robots in the testing phase.

关键词： Robots

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Nonlinear Identification of a Continuous Stirred-Tank Reactor using WSDP Models

Nonlinear Identification of a Continuous Stirred-Tank Reacto...

引用

11th international conference on control, automation and Systems (ICCAS)/Robot World conference

作者： Nguyen-Vu Truong Intelligent Robotics and Automation Laboratory (IRAL) Institute of Applied Mechanics and Informatics Vietnam Academy of Science and Technology Viet Nam

ISBN: (纸本)9788993215038

This paper presents the application of Wavelet based State Dependent Parameter (WSDP) models to the identification of a Continuous Stirred-Tank Reactor (CSTR). Here, in order to characterize the process dynamics which is highly nonlinear and multi-variable dependent, 2-D WSDP model is used. The simulation results demonstrate the effectiveness and advantages of the identified model.

关键词： Tanks (containers)

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Deep vs. Deep Bayesian: Faster Reinforcement Learning on a Multi-robot Competitive Experiment 18

Deep vs. Deep Bayesian: Faster Reinforcement Learning on a M...

引用

18th international conference on informatics in control, automation and robotics (ICINCO)

作者： Huang, Jingyi Giardina, Fabio Rosendo, Andre ShanghaiTech Univ Sch Informat Sci & Technol Shanghai Peoples R China Harvard John A Paulson Sch Engn & Appl Sci Cambridge MA USA

ISBN: (纸本)9789897585227

Deep Learning experiments commonly require hundreds of trials to properly train neural networks, often labeled as Big Data, while Bayesian learning leverages scarce data points to infer next iterations, also known as Micro Data. Deep Bayesian Learning combines the complexity from multi-layered neural networks to probabilistic inferences, and it allows a robot to learn good policies within few trials in the real world. In here we propose, for the first time, an application of Deep Bayesian Reinforcement Learning (RL) on a realworld multi-robot confrontation game, and compare the algorithm with a model-free Deep RL algorithm, Deep Q-Learning. Our experiments show that DBRL significantly outperforms DRL in learning efficiency and scalability. The results of this work point to the advantages of Deep Bayesian approaches in bypassing the Reality Gap and sim-to-real implementations, as the time taken for real-world learning can quickly outperform data-intensive Deep alternatives.

关键词： Reinforcement Learning Policy Search robotics

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Multi-robotic system with self-organization for search of targets in covered area 11

Multi-robotic system with self-organization for search of ta...

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11th international conference on informatics in control, automation and robotics, ICINCO 2014

作者： Sebestyénová, Jolana Kurdel, Peter Institute of Informatics Slovak Academy of Sciences Dúbravská cesta 9 Bratislava Slovakia

ISBN: (纸本)9789897580406

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. Self-organizing 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.

关键词： Robots

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Application of Sensory Body Schemas to Path Planning for Micro Air Vehicles (MAVs) 12

Application of Sensory Body Schemas to Path Planning for Mic...

引用

12th international conference on informatics in control automation and robotics (ICINCO)

作者： Enikov, Eniko T. Escareno, Juan-Antonio Univ Arizona Dept Aerosp & Mech Engn 1130 N Mt Ave Tucson AZ 85721 USA Inst Polytech Sci Avancees IPSA Directorate Res & Innovat DRII 7-9 Rue Maurice Grandcoing F-94200 Ivry France

ISBN: (纸本)9789897581496

To date, most autonomous micro air vehicles (MAV-s) operate in a controlled environment, where the location of and attitude of the aircraft are measured be dedicated high-power computers with IR tracking capability. If MAV-s are to ever exit the lab and carry out autonomous missions, their flight control systems needs to utilize on-board sensors and high-efficiency attitude determination algorithms. To address this need, we investigate the feasibility of using body schemas to carry out path planning in the vision space of the MAV. Body schemas are a biologically-inspired approach, emulating the plasticity of the animal brains, allowing efficient representation of non-linear mapping between the body configuration space, i.e. its generalized coordinates and the resulting sensory outputs. This paper presents a numerical experiment of generating landing trajectories of a miniature rotor-craft using the notion of body and image schemas. More specifically, we demonstrate how a trajectory planning can be executed in the image space using a pseudo-potential functions and a gradient-based maximum seeking algorithm. It is demonstrated that a neural-gas type neural network, trained through Hebbian-type learning algorithm can learn a mapping between the rotor-craft position/attitude and the output of its vision sensors. Numerical simulations of the landing performance of a physical model is also presented, The resulting trajectory tracking errors are less than 8 %.

关键词： Micro-Air Vehicles Artificial Neural Network Path Planning Body Schema Cognitive robotics

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Large Scale Mapping Using Submaps

Large Scale Mapping Using Submaps

引用

IEEE international conference on automation, Quality and Testing, robotics

作者： Lupea, Diana Majdik, Andras Lazea, Gheorghe Tech Univ Cluj Napoca Dept Automat Cluj Napoca Romania

ISBN: (纸本)9781467307024

The main contribution of this article the implementation of a new method for the usage of submaping algorithms, which surpasses the limitations arising from the need of statistical independence between the submaps, when mapping large scale areas. This method relies on the commonly used structure of SLAM (Simultaneous Localization and Mapping) mandatory for building submaps which share information, but stay conditionally independent. This approach is able to recover the final map, without introducing other approximations ignoring the ones already introduced by the EKF (Extended Kalman Filter), all this in a linear time. The algorithm has been tested for the case of local submaps because the effects of linearization errors are smaller in this way. The obtained maps are more accurate and consistent compared with ones obtained by EKF or EIF (Extended Information Filter) methods, which are not using local coordinates.

关键词： robotics SLAM submaps loop-closure

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