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Obstacle Avoidance for Kinematically Redundant Robot

IFAC-PapersOnLine 2015年第28期48卷 490-495页

作者： WANG, Xinyu YANG, Chenguang CHEN, Junshen MA, Hongbin LIU, Feng School of Automation Beijing Institute of Technology Beijing China State Key Lab of Intelligent Control and Decision of Complex System Beijing Institute of Technology Beijing China Centre for Robotics and Neural Systems Plymouth University Plymouth United Kingdom College of Automation Science and Engineering South China University of Technology Guangzhou China Beijing Jiaotong University Beijing China

Manipulator's obstacle avoidance is always a challenging topic in robotics. With the concern of the safety problems in human working environment, an improved obstacle avoidance method is proposed based on the general solution of the inverse kinematic problem of a redundant manipulator. A new obstacle detection method using Kinect R sensor is designed to give a robust obstacle information. By designing a parallel system of the manipulator, the proposed control method is not only to achieve the goal of moving away from the obstacle, but also able to guarantee the robot move back to its original pose. The stability of the closed-loop system is established using Lyapunov direct method to ensure the asymptotic stability of the system. The performance of the simulation results verifies the effectiveness of the proposed obstacle detection algorithm and the obstacle avoidance method. © 2015

关键词： Inverse problems Asymptotic stability Closed loop systems Collision avoidance Inverse kinematics Obstacle detectors Redundant manipulators system stability General solutions Inverse kinematic problems Kinematically Redundant Lyapunov direct method Obstacle detection Parallel system Redundant robot Working environment

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Research on Panoramic Vision system of Mobile Robot

Research on Panoramic Vision System of Mobile Robot

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第27届中国控制与决策会议

作者： Qiaobing Yao Hualong Yu Wankou Yang Changyin Sun School of Autmation Southeast University Key Lab of Measurement and Control of Complex Systems of Engineering Ministry of EducationSoutheast University Key Laboratory of Child Development and Learning Science of Ministry of Education Southeast University

ISBN: (纸本)9781479970186

This paper presents an imaging method for 360-degree panoramic view based on four wide angle *** order to complete the image mosaic,all the parameters such as focal length,principal point and distortion coefficients,etc are calibrated by our proposed calibration ***,our approach does not adopt the scheme which stitching all the images to the surrounding view after distortion *** proposed method directly calculates the mapping relationship between the wide-angle lens images and cylindrical projection images to generate lookup tables which can greatly simplifies the computation and reduces the loss of information in each ***,panoramic image is composed by image registration and image *** results show that this method is valid.

关键词： Image mosaic Camera calibration Cylindrical projection LUTs

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A Pedestrian Detection Method Based on MBLBP Features and Intersection Kernel SVM

A Pedestrian Detection Method Based on MBLBP Features and In...

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2015年中国智能自动化学术会议

作者： Xuejie Nian Ke Xie Wankou Yang Changyin Sun School of Automation Southeast University Key Lab of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Key Laboratory of Child Development and Learning Science of Ministry of Education Southeast University

Pedestrian detection is a hot research topic in pattern recognition and computer vision. We combine MBBP（Multiscale Block Local Binary Patterns）feature and Histogram Intersection Kernel SVM and apply them to pedestrian detection. MBBP features, which make up for the lack of LBP（Local Binary Patterns） features in robustness, is a kind of effective texture description *** Intersection Kernel Support Vector Machine has the advantage of fast classification and high accuracy in object recognition. It can be used for further enhancing the system's real-time performance. The experiments show that the proposed approach has higher precision than the classical algorithm HOG+Linear SVM and the HOGBP Features Fusion tested on the established benchmarking datasets—INRIA.

关键词： Pedestrian detection MBLBP features HIKSVM

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K-Means Clustering Based on Density for Scene Image Classification

K-Means Clustering Based on Density for Scene Image Classifi...

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2015年中国智能自动化学术会议

作者： Ke Xie Jin Wu Wankou Yang Changyin Sun School of Autmation Southeast University Key Lab of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Key Laboratory of Child Development and Learning Science of Ministry of Education Southeast University

K-means clustering has been extremely popular in scene image classification. However, due to the random selection of initial cluster centers, the algorithm cannot always provide the most optimal results. In this paper, we develop a density-based k-means clustering. First, we calculate the density and distance for each feature vector. Then choose those features with high density and large distance as initial cluster centers. The remaining steps are the same with k-means. In order to evaluate our proposed algorithm, we have conducted several experiments on twoscene image datasets: Fifteen Scene Categories dataset and UIUC Sports Event dataset. The results show that our proposed method has good repeatability. Compared with the traditional k-means clustering, it can achieve higher classification accuracy when applied in multiclass scene image classification.

关键词： K-means Density Scene image classification

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MPCA on Gabor Tensor for Face Recognition

MPCA on Gabor Tensor for Face Recognition

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2015年中国智能自动化学术会议

作者： Jin Wu Xuejie Nian Wankou Yang Changyin Sun School of Automation Southeast University Key Lab of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Key Laboratory of Child Development and Learning Science of Ministry of Education Southeast University

There is a growing interest in subspace learning techniques for face recognition. This paper proposes a novel face recognition method based on MPCA with Gabor tensor representation. Although the Gabor face representation has achieved great success in face recognition, the excessive dimension of the data space often brings the algorithms into the curse of dimensionality dilemma. In this paper, we propose a 3rd-order Gabor tensor representation derived from a complete response set of 40 Gabor filters. Then MPCA(Multi-linear Principal Component Analysis) is applied to each Gabor tensor to extract three discriminative *** dimension reduction is done in such a way that most useful information is retained. The subspaces are finally integrated for classification. Experimental results on ORL database show promising results of the proposed method.

关键词： Face recognition MPCA Gabor tensor Representation

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An Adaptive Method based on QRCP Decomposition for Single Sample Problem 33

An Adaptive Method based on QRCP Decomposition for Single Sa...

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第三十三届中国控制会议

作者： HU Changhui LU Xiaobo DU Yijun School of Automation Southeast University Key Laboratory of Measurement and Control of Complex System of Engineering Ministry of EducationSoutheast University

ISBN: (纸本)9781479947249

In this paper,an adaptive approximation image reconstruction method based on orthogonal triangular with column pivoting(QRCP) decomposition algorithm is proposed for single sample problem in face *** using QRCP the single sample and its transpose are decomposed to two sets of basis *** an adaptive approximation image reconstruction method is proposed to reconstruct two approximation images from the two basis image sets *** single training sample and its two approximation images of each object form a new training set,which can make the fisher linear discriminant analysis(FLDA) be applied to single sample problem in face *** performance of the proposed method is verified on Yale,FERET,and ORL face *** experimental results indicate that the proposed method is efficient and outperforms some existing methods which are proposed to overcome the single sample problem.

关键词： Face recognition,single sample problem,orthogonal triangular decomposition with column pivoting,adaptive approximation image reconstruction method

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An Enhanced Local Ternary Patterns Method for Face Recognition 33

An Enhanced Local Ternary Patterns Method for Face Recogniti...

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第三十三届中国控制会议

作者： WANG Zhenyu HUANG Rong YANG Wankou SUN Changyin School of Automation Southeast University Key Lab of Measurement and Control of Complex Systems of Engineering Ministry of Education

ISBN: (纸本)9781479947249

Feature descriptor based methods(*** Binary Patterns,Local Ternary Patterns) have gained encouraging results in face *** one needs to manually set the threshold in Local Ternary Patterns(LTP).The threshold in LTP is not data adaptive and not robust to *** some cases,we may not give a suitable threshold for *** by Weber's Law,here a data adaptive threshold strategy is prosed for LTP and an enhanced LTP is given for face *** evaluate the enhanced LTP on ORL and FERET face databases and the results demonstrate that the enhanced LTP significantly improves the performances.

关键词： local ternary patterns,Weber's Law,feature descriptor,face recognition

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Emulating manual welding process by two cooperative robots 33

Emulating manual welding process by two cooperative robots

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第三十三届中国控制会议

作者： GAN Yahui DAI Xianzhong DA Qi School of Automation Southeast University Key Lab of Measurement and Control of Complex Systems of Engineering Ministry of Education

ISBN: (纸本)9781479947249

The problem of how to emulate a manual welding process by two cooperative robotic manipulators is investigated in this *** emulating process is intrinsically a trajectory planning process for the two cooperative *** of skilled welders and technical requirements in a welding process have been modeled and integrated into the robot trajectory planning *** model of trajectory planing for two cooperative robots doing a welding task is in a constrained optimization form.A Genetic Algorithm solver has been adopted to solve such an optimization ***-connect-pipe welding experiment has been carried out at the end of the paper and the weld results verified the effectiveness of our method.

关键词： emulate manual welding,cooperative robot,Genetic Algorithm,Pipe-connect-pipe welding

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Research on panoramie vision system of mobile robot

Research on panoramie vision system of mobile robot

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Chinese control and Decision Conference, CCDC

作者： Qiaobing Yao Hualong Yu Wankou Yang Changyin Sun Key Lab of Measurement and Control of Complex Systems of Engineering Southeast University Nanjing China School of Autmation Southeast University Nanjing Jiangsu CN Key Laboratory of Child Development and Learning Science of Ministry of Education Southeast University Nanjing China

This paper presents an imaging method for 360-degree panoramic view based on four wide angle cameras. In order to complete the image mosaic, all the parameters such as focal length, principal point and distortion coefficients, etc are calibrated by our proposed calibration toolbox. Then, our approach does not adopt the scheme which stitching all the images to the surrounding view after distortion correction. The proposed method directly calculates the mapping relationship between the wide-angle lens images and cylindrical projection images to generate lookup tables which can greatly simplifies the computation and reduces the loss of information in each image. Finally, panoramic image is composed by image registration and image fusion. Experimental results show that this method is valid.

关键词： Machine vision Mobile robots

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High-level spatial modeling in convolutional neural network with application to pedestrian detection

High-level spatial modeling in convolutional neural network ...

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Canadian Conference on Electrical and Computer engineering (CCECE)

作者： Feng Liu Yongzhen Huang Wankou Yang Changyin Sun School of Automation. Southeast University Nanjing China Key Lab of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing China National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing China Key Lab of Child Development and Learning Science of Ministry of Education. Southeast University Nanjing China

ISBN: (纸本)9781479958306

Convolutional neural network (CNN) has achieved great success in many vision tasks. A key to this success is its ability to powerful automatically learns both high-level and low-level features. In general, low-level features have a small size of receptive fields and appear multiple times in different locations of objects, while high-level semantic features have a relatively large size of receptive fields and only appear once in a specific location of objects. However, traditional CNN treats these two kinds of features in the same manner, i.e., learning them by the convolution operation, which can be approximately considered as cumulating the probabilities that a feature appears in different locations. This strategy is reasonable for low-level features but not for high-level semantic ones, especially in the case of pedestrian detection, where a local feature can be shared by different locations but a semantic part, e.g., a head, only appears once for a human. To jointly model the spatial structure and appearance of high-level semantic features, we propose a new module to learn spatially weighted max pooling in CNN. The proposed method is evaluated on several pedestrian detection databases and the experimental results show that it achieves much better performance than traditional CNN.

关键词： Convolution Semantics Kernel Deformable models Computational modeling Feature extraction Training

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