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2013 IEEE International Conference on Automation science and engineering, CASE 2013

作者： Lu, Yan Song, Dezhen Li, Haifeng Liu, Jingtai Department of Computer Science and Engineering Texas AandM University College Station TX 77843 United States College of Computer Science and Technology Civil Aviation University of China Tianjin 300300 China Institute of Robotics and Automatic Information System Nankai University Tianjin 300071 China

ISBN: (纸本)9781479915156

Buildings consume around 40% of overall energy in the world. Planar mirror detection problem (PMDP) arises when surveying reflective building surface for building energy retrofit. PMDP is also important for collision avoidance when robots navigate close to highly reflective glassy walls. Our approach uses two views from an on-board camera. First, we derive geometric constraints for corresponding real-virtual features across two views. The constraints include 1) the mirror normal as a function of vanishing points of lines connecting the real-virtual feature point pairs and 2) the mirror depth in a closed form format derived from a mirror plane induced homography. Based on the geometric constraints, we employ a random sample consensus framework and an affine scale-invariant feature transform to develop a robust mirror detection algorithm. We have implemented the algorithm and tested it under both in-lab and field settings. The algorithm has achieved an overall detection accuracy rate of 91.0%. © 2013 IEEE.

关键词： Mirrors

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Cooperative AUV motion planning using terrain information

Cooperative AUV motion planning using terrain information

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OCEANS 2013 MTS/IEEE Bergen: The Challenges of the Northern Dimension

作者： Hausler, Andreas J. Saccon, Alessandro Pascoal, Antonio M. Hauser, John Aguiar, A. Pedro Laboratory of Robotics and Systems in Science and Engineering Instituto Superior Técnico Lisbon Portugal Department of Mechanical Engineering Eindhoven University of Technology Netherlands Electrical Computer and Energy Engineering Department University of Colorado at Boulder Colorado United States Faculdade de Engenharia University of Porto Portugal

ISBN: (纸本)9781479900015

There is widespread interest in the deployment of fleets of marine robots with the potential to roam the oceans freely and collect data at an unprecedented scale. This calls for the development of efficient algorithms for multiple vehicle motion planning that can take directly into account the capabilities of each vehicle as well as the environmental conditions and lend themselves to seamless integration with control and navigation systems. The latter connection is for the most part eschewed in the literature, in spite of the obvious fact that in order for the vehicles to execute the planned motions they must at a later stage navigate with great accuracy and follow the trajectories using control algorithms that take explicitly into account the dynamical constraints of the vehicles involved. Among the methods available for underwater vehicle navigation, terrain-based techniques have recently come to the fore. These techniques avoid the use of overly expensive inertial-like motion sensor units and hold considerable promise for the development of a new breed of affordable long range navigation systems. Motivated by these considerations, we tackle in the present paper the problem of multiple vehicle motion planning by taking explicitly into consideration inter-vehicle collision avoidance, together with a number of criteria that may include simultaneous times of arrival at assigned target points, energy minimization, acoustic communication constraints, and the maximization of terrain information along the vehicle paths (as measured by some appropriate criterion) for terrain-based navigation purposes. © 2013 IEEE.

关键词： Motion planning

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Preface

SpringerBriefs in Computer Science

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SpringerBriefs in computer science 2014年第9781493921485期 v-vi页

作者： Čomić, Lidija de Floriani, Leila Magillo, Paola Iuricich, Federico Department for Fundamental Disciplines Faculty of Technical Sciences University of Novi Sad Novi Sad Serbia Department of Computer Science Bioengineering Robotics and Systems Engineering University of Genova Genova Italy Department of Computer Science University of Maryland College ParkMD United States

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Vanishing point detection for CCTV in railway stations

Vanishing point detection for CCTV in railway stations

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5th International Conference on Imaging for Crime Detection and Prevention, ICDP 2013

作者： Tarrit, K. Atkinson, G.A. Smith, M.L. Molleda, J. Wright, G.C. Gaal, P. Centre for Machine Vision Bristol Robotics Laboratory University of the West of England Bristol United Kingdom Department of Computer Science and Engineering University of Oviedo Spain Aralia Systems Ltd. Horsham United Kingdom

ISBN: (纸本)9781849199049

Vanishing point (VP) detection is an important task in computer vision with particular importance in video surveillance. However, despite having numerous applications in camera calibration, 3D reconstruction and threat detection, a general method for VP detection has remained elusive. Rather than attempting the infeasible task of VP detection in general scenes, this paper presents a novel method that is fine-tuned to work for railway station environments and is shown to outperform the state-of-the-art for that particular case. The motivation for this is that (a) these environments are particularly susceptible to many types of crime from petty theft to terrorist activity, (b) the number of objects/structures in the scenes are limited, rendering the problem more tractable than the generic case, and (c) they typically have many CCTV cameras already installed. The method presented here commences by extracting edges from the input frame using the Canny edge detector as a pre-processing stage before the standard Hough transform is employed. A novel line clustering algorithm is then applied to determine the parameters of the lines that converge at VPs. This is based on statistics of the detected lines and heuristics about the type of scene. The clustered lines are then used to compute VPs using their intersection points. A voting system is used to optimise detection in an attempt to omit spurious lines. The paper includes a direct comparison to the state-of-the-art and ground truth.

关键词： Subway stations

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An analysis of regression models for predicting the speed of a wave glider autonomous surface vehicle

An analysis of regression models for predicting the speed of...

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2013 Australasian Conference on robotics and Automation, ACRA 2013

作者： Ngo, Phillip Al-Sabban, Wesam Thomas, Jesse Anderson, Will Das, Jnashewar Smith, Ryan N. Electrical Engineering and Computer Science Queensland University of Technology BrisbaneQLD Australia Liquid Robotics Inc. Sunnyvale SunnyvaleCA United States Robotics Embedded Systems Laboratory University of Southern California Los AngelesCA United States Physics and Engineering Department Fort Lewis College DurangoCO United States

ISBN: (纸本)9780980740448

An important aspect of robotic path planning for is ensuring that the vehicle is in the best location to collect the data necessary for the problem at hand. Given that features of in- terest are dynamic and move with oceanic cur- rents, vehicle speed is an important factor in any planning exercises to ensure vehicles are at the right place at the right time. Here, we examine different Gaussian process models to find a suitable predictive kinematic model that enable the speed of an underactuated, au- tonomous surface vehicle to be accurately pre- dicted given a set of input environmental pa-rameters.

关键词： Motion planning

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Adaptive Neural Network Control for a Robotic Manipulator with Unknown Deadzone

Adaptive Neural Network Control for a Robotic Manipulator wi...

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第三十二届中国控制会议

作者： Shuzhi Sam Ge Wei He Shengtao Xiao Robotics Institute and School of Computer Science and Engineering University of Electronic Science and Technology of China Department of Electrical & Computer Engineering National University of Singapore Social Robotics Lab Interactive Digital Media InstituteNational University of Singapore Robotics Institute and School of Automation Engineering University of Electronic Science and Technology of China

ISBN: (纸本)9781479900305

In this paper,adaptive neural network control is designed for a robotic manipulator with unknown *** networks are used to compensate for the unknown deadzone effect faced by the manipulator's ***-feedback control is proposed first and high-gain observer is then designed to make the proposed control scheme more *** deadzone effect is approximated by a Radial Basis Function Neural Network(RBFNN) and the tracking error for the deadzone effect is bounded and *** unknown dynamics of the robotic manipulator is estimated with another *** for the estimated deadzone effect in the control law then leads to our proposed *** proposed control is then verified on a two-joint rigid manipulator via numerical simulations.

关键词： Neural network control Unknown deadzone Radial basis function neural network(RBFNN) Robotic manipulator.

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GAS Decentralized Navigation Filters in a Continuous-Discrete Fixed Topology Framework

GAS Decentralized Navigation Filters in a Continuous-Discret...

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Mediterranean Conference on Control & Automation

作者： Daniel Viegas Pedro Batista Paulo Oliveira Carlos Silvestre Institute for Systems and Robotics Instituto Superior Tecnico Institute for Systems and Robotics and the Department of Electrical and Computer Engineering Faculty of Science and Technology University of Macau

ISBN: (纸本)9781479909964

This paper addresses the problem of state estimation in formations of autonomous vehicles. The approach considered here consists in the implementation of a local state observer in each vehicle relying only on locally available measurements and data communicated by neighboring agents, resulting in a decentralized state observer which features lower computational and communication loads than comparable centralized solutions. A method for computing observer gains which yield globally asymptotically stable error dynamics is presented for fixed topology formations, as well as an iterative algorithm for improving the decentralized estimator's performance when the measurements are corrupted by noise. The proposed framework is particularized to the practical case of a formation of Autonomous Underwater Vehicles (AUVs), and a continuous-discrete formulation is achieved for the local state observers, to take into account the difference in sampling rates between on-board instrumentation and positioning systems. To assess the performance of the solution, simulation results are presented and discussed for different formation topologies.

关键词： Observers Vehicles Position measurement Vehicle dynamics Noise measurement Topology Estimation error

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Learning Control for a Robotic Manipulator with Input Saturation

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IFAC Proceedings Volumes 2013年第20期46卷 74-79页

作者： Wei He Shengtao Xiao Sijia Yu Robotics Institute and School of Automation Engineering University of Electronic Science and Technology of China Chengdu 611731 China Department of Electrical & Computer Engineering National University of Singapore Singapore 117576 Robotics Institute and School of Mechanical Engineering University of Electronic Science and Technology of China Chengdu 611731 China

In this paper, adaptive neural-network control is designed for an n-DOF robotic manipulator system. In the tracking control design, both uncertainties and input saturation are considered. Stability of the closed-loop system is analyzed via the Lyapunov's direct method. The uncertain system is approximated by the radial basis function neural-networks (RBFNN) and the input saturation is solved by adding an auxiliary signal. Simulation studies are conducted to examine the effectiveness of the proposed model-based and RBFNN control.

关键词： Input saturation radial basis function (RBFNN) robotic manipulator Lyapunov stability

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Development of parallel manipulator sit to stand assistive device for elderly people

Development of parallel manipulator sit to stand assistive d...

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2013 IEEE Workshop on Advanced robotics and Its Social Impacts, ARSO 2013

作者： Salah, Omar Asker, Ahmed Fath El-Bab, Ahmed M. R. Assal, Samy M. F. Ramadan, Ahmed A. Sessa, Salvatore Abo-Ismail, Ahmed Egypt-Japan University of Science and Technology New Borg-El-Arab city Alexandria Egypt Mechanical Engineering Department Faculty of Engineering Assiut University Egypt Department of Production Engineering and Mechanical Design Faculty of Engineering Tanta University Alexandria Egypt Computer and Automatic Control Dept. Faculty of Engineering Tanta University Tanta Egypt Mechatronics and Robotics Dept. Egypt-Japan University of Science and Technology Egypt School of Creative Science and Engineering Waseda University Tokyo 168-8480 Japan

ISBN: (纸本)9781479923694

This paper describes a novel mobility assistive device under development in the Egypt-Japan University of science and Technology (E-JUST). The proposed system can help patients who do not have enough physical strength on the lower limbs during sit to stand due to aging, diseases such as polymyositis and myopathy, and joint replacement surgery complications. It can follow the natural pattern of human motion during sit to stand providing assistance force under the shoulder. The overall device is compact and employees a parallel mechanism which provide more stiffness. Several experiments were carried out in a VICON room to calculate the human motion posture while sit to stand motion in addition estimate the trajectory of the end effector during assisting. computer simulation was built to verify the performance of the proposed system with the reference trajectory. © 2013 IEEE.

关键词： Mechanisms

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Experimental validation of a nonlinear quadrotor controller with wind disturbance rejection

Experimental validation of a nonlinear quadrotor controller ...

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European Control Conference

作者： David Cabecinhas Rita Cunha Carlos Silvestre Department of Electrical Engineering and Computer Science and Institute for Robotics and Systems in Engineering and Science (LARSyS) Instituto Superior Tecnico Universidade Tecnica de Lisboa

ISBN: (纸本)9781479901890

This paper addresses the problem of designing and experimentally validating a controller for steering a quadrotor vehicle along a trajectory, while rejecting wind disturbances. The proposed solution consists of a nonlinear adaptive state feedback controller for thrust and torque actuation that asymptotically stabilizes the closed-loop system in the presence of constant force disturbances, used to model the wind action, and ensures that the actuation does not grow unbounded as a function of the position errors. A prototyping and testing architecture, developed to streamline the implementation and the tuning of the controller, is also described. Experimental results are presented to demonstrate the performance and robustness of the proposed controller.

关键词： Controllers Induction loop systems Activation location error state feedback controller Disturbance rejection Closed loop systems thrust Wind tuning trajectory asymptotic wind action nonlinearity

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