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Chinese Automation Congress (CAC)

作者： Mingfang Du Junzheng Wang Jing Li Haiqing Cao Guangtao Cui Jianjun Fang Ji Lv Xusheng Chen Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Beijing China Automation School Beijing Union University Beijing China

The local invariant features SURF (Speeded Up Robust Features) is introduced into the robot visual recognition field to solve scale changes, rotation, perspective changes, changes in illumination and other problems. A Speeded up SURF (SSURF) algorithm is proposed to meet the needs of robot visual identification. In SSURF algorithms, the main direction determination step of SURF algorithm is modified which make the search scope of the main direction becomes {-α, +α} (0 ≤ α ≤ 30°) from the original scope 360 According to compressed sensing ideas and interest points distribution histogram, the main scale search space is selected to improve the interest points searching step of SURF algorithm, so the interest points searching time-consuming is reduced. Matching the sample object and the scene using SSURF descriptor, and positioning the target position in the scene and giving ROI(region of interest). Experimental results in the autonomous mobile robot platform show that the proposed method significantly improves the speed of the robot to identify the target object, and proved robust to the scale changes, rotation, perspective changes, changes in illumination.

关键词： Feature extraction Robots Object recognition Robustness Vectors Image recognition Visualization

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Low level saliency feature extraction method based on Hessian threshold

Low level saliency feature extraction method based on Hessia...

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Chinese Automation Congress (CAC)

作者： Mingfang Du Junzheng Wang Jing Li Haiqing Cao Guangtao Cui Jianjun Fang Ji Lv Jiantao Pu Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Beijing China Automation School Beijing Union University Beijing China

The local invariant feature extraction algorithm SRUF (Speeded Up Robust Features) is introduced firstly. Then the new method of finding low level visual saliency feature based on SURF is deduced. The new method pay attention to Hessian matrix threshold and extract image features through changing the Hessian threshold. The number of saliency feature points change with the change of Hessian threshold. The visual saliency feature points will become sparser when Hessian threshold becomes larger. When some certain extreme thresholds which are defined as Hessian threshold Nodes are reached, the retained feature points are remarkable discriminative and stable feature points which make up the best sparse saliency features set. The feature extraction, matching and object recognition experiments of robot vision are finished to verify the new method. Experiment results show that the method is very effective.

关键词： Feature extraction Visualization Robots Robustness Heuristic algorithms Object recognition Educational institutions

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Slip prevention of a humanoid robot by coordinating acceleration vector

Slip prevention of a humanoid robot by coordinating accelera...

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International Conference on Information and Automation (ICIA)

作者： Zhangguo Yu Jing Li Qiang Huang Xuechao Chen Gan Ma Libo Meng Si Zhang Yan Liu Wen Zhang Weimin Zhang Xiaopeng Chen Junyao Gao Key Laboratory of Biomimetic Robots and Systems Ministry of Education Beijing China Intelligent Robotics Institute Beijing Institute of Technology Beijing China Key Laboratory of Intelligent Control and Decision of Complex System Beijing China

A humanoid robot may suffer from slip since its two feet are not fixed on the ground. Slip occurrence may induce the loss of robot's balance. The previous literature focused on the detection or estimation of the slip occurrence, or only employed the translational acceleration regulation to overcome slip. This study proposes a slip prevention method by coordinating acceleration vector including the horizontal, vertical, and rotational acceleration components. The contribution of this paper is to regulate the translational and rotational acceleration together to prevent the slip occurrence. The effectiveness of our proposed method was verified by simulations and experiments on an actual humanoid robot.

关键词： Acceleration Robot kinematics Vectors Humanoid robots Mathematical model Equations

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Online Path Planning for UAV Using an Improved Differential Evolution Algorithm

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IFAC Proceedings Volumes 2011年第1期44卷 6349-6354页

作者： Xing Zhang Jie Chen Bin Xin Hao Fang School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing 100081 China Tel: 86-10-68912464-22

Abstract This paper presents a 3D online path planning algorithm for unmanned aerial vehicle (UAV) flying in partially known hostile environment. In order to provide a smooth fight route for UAV, the algorithm adopts B-Spline curve to describe UAV's path whose control points are optimized by an improved differential evolution algorithm. The planner gradually produces a smooth path for UAV from starting location to its target. Regarding path planning performance, the proposed improved diferential evolution based planner is compared with its three competitors which are based on classical differential evolution, genetic algorithm and particle swarm optimization, respectively. Numerical simulation demonstrates that the proposed UAV path planner not only produces high-quality feasible flight routes for UAV, but also obviously outperforms its competitors.

关键词： UAV online path planning differential evolution B-Spline

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Fault diagnosis for small samples based on VMR

Fault diagnosis for small samples based on VMR

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2024 China Automation Congress, CAC 2024

作者： Wu, Xuejin Wu, Yali Hu, Yanghu Department of Information and Control Engineering Xi'an University of Technology Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an710048 China State Key Laboratoiy of Metal Extrusion and Forging Equipment Technology China National Heavy Machinery Research Institute Co. Ltd Xi'an710016 China

ISBN: (纸本)9798350368604

The scarcity of fault samples presents a significant challenge for fault diagnosis in industrial processes. Conventional methods often fail to deliver satisfactory results when dealing with small sample sizes. In addressing the issue of small sample fault diagnosis in industrial processes, this paper utilizes the Variational Mode Reconstruction(VMR) algorithm to screen the best components decomposed by the Variational Mode Decomposition(VMD) through the envelope entropy then random weighting them and signal reconstruction to achieve data enhancement, to enrich the sample size and to prevent the model overfitting phenomenon due to the scarcity of samples. Meanwhile, this paper integrates Convolutional Neural Network (CNN) and Long Short-term Memory Neural Network (LSTM) to propose a network model of spatio-temporal feature fusion for feature extraction and classification. The experiments demonstrate that this model not only enhances data diversity but also ensures consistency before and after enhancement, effectively mitigating overfitting. Furthermore, it guarantees high recognition and generalization rates in fault diagnosis. © 2024 IEEE.

关键词： Convolutional neural networks

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Transient Performance Evaluation of Flexible Production Lines With Two Bernoulli Machines and Dedicated Buffers*

Transient Performance Evaluation of Flexible Production Line...

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IEEE International Conference on Automation Science and Engineering (CASE)

作者： Jingchuan Chen Zhiyang Jia Longzhu Huang Yaping Dai School of Automation Beijing Institute of Technology Beijing China State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing China

ISBN: (数字)9781728169040

ISBN: (纸本)9781728169057

In the contemporary manufacturing environment, flexible production is growing in popularity due to its quick adaptation and response to the market changes and customized requirements. Multi-type products under small-batch-based operations are commonly seen in flexible production. Therefore, dedicated buffers are sometimes used to separate different types of parts that are being processed on one production system. Besides, the steady-state analysis may be ineffective because of the small-batch-based operation, as a result, transient analysis becomes indispensable in investigating the transient behavior of flexible production lines. In this work, we investigate the performance evaluation issue in flexible production systems with multi-type products, two machines obeying the Bernoulli reliability model, and dedicated buffers in real-time. Based on Markovian analysis, a set of auxiliary production lines are presented to decouple the dynamics of the original system. Then, the transient performance measures of interest are approximately evaluated from the auxiliary production lines to avoid the issue of system state explosion. The state explosion is common when applying the Markovian approach. Finally, the proposed analytical algorithm is validated to be with high precision through numerical experiments in contrast with the Monte Carlo simulation.

关键词： Transient analysis Production systems Reliability Performance evaluation Numerical models Manufacturing

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Two Degree of Freedom Active Disturbance Rejection control Strategy for Time Delay systems

Two Degree of Freedom Active Disturbance Rejection Control S...

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Chinese control Conference (CCC)

作者： Xiyuan Shan Tao Cai School of Automation Beijing Institute of Technology Beijing China State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing China

This paper is concerned with the controller design and the theoretical analysis for time-delay systems, a two degree of freedom (feedforward and feedback) control method is proposed, which combines advantages of the Smith predictor and the active disturbance rejection control (ADRC). The feedforward part of controller is used to track the set point, the feedback part of controller (ADRC) is used to suppress interferences and the Smith predictor is used to correct time delay. The proposed control design is easy to tune parameters and has been proved to effectively control systems with large time delay. The bounded input bounded output (BIBO) stability of closed-loop system is verified. Finally, numerical simulations show the effectiveness and practicality of the proposed design.

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Non-contact transportation and rotation of micro objects by vibrating glass needle circularly under water

Non-contact transportation and rotation of micro objects by ...

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2017 IEEE International Conference on Robotics and Automation, ICRA 2017

作者： Liu, Xiaoming Kojima, Masaru Shi, Qing Wang, Huaping Sun, Tao Mae, Yasushi Huang, Qiang Arai, Tatsuo Fukuda, Toshio Intelligent Robotics Institute School of Mechatronical Engineering Key Laboratory of Biomimetic Robots and Systems Ministry of Education Key Laboratory of Intelligent Control and Decision of Complex System Beijing Institute of Technology Beijing100081 China Department of Systems Innovation Osaka University 1-3 Machikaneyama Toyonaka Osaka560-8531 Japan Faculty of Science and Engineering Meijo University 1-501 Shiogamaguchi Tenpaku-ku Nagoya468-8502 Japan

ISBN: (纸本)9781509046331

In micromanipulation, lots of methods have been developed to manipulate objects in microscale. However, few of them can be applied in both the transportation and the rotation of the micro objects. In this paper, we present a novel method to realize the non-contact transportation and rotation of the micro objects based on the vibration-induced swirl flow. A piezo actuator is set between the glass needle and a metal rod. The sine wave with controlled frequency and amplitude is input into the piezo actuator to drive the glass needle to move circularly, which is caused by resonance of the actuator and the metal rod. We place the glass needle under water and keep a limited distance to the bottom. The circular vibration of the glass needle can generate a swirl flow and low pressure around it. The low pressure can trap and transport the micro objects vertically to the glass needle, and the swirl flow can rotate the objects continuously. Finally, we realize the trap and rotation of micro object with only one piezo actuator. Experiments of transportation and rotation of microbeads are carried out, and the results demonstrate it is a simple, low-cost, effective micromanipulation method. © 2017 IEEE.

关键词： Needles

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A universal pattern generator for biped walking on 3D slopes

A universal pattern generator for biped walking on 3D slopes

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IEEE International Conference on Robotics and Biomimetics

作者： Wen Zhang Qiang Huang Zhangguo Yu Xuechao Chen Chenglong Fu Jing Li Gan Ma Libo Meng Ying Wu Weimin Zhang Intelligent Robotics Institute School of Mechatronical Engineering Key Laboratory of Intelligent Control and Decision of Complex System Beijing China Department of Mechanical Engineering Tsinghua University Beijing China

ISBN: (纸本)9781479973989

Uneven terrain walking is one of the important premises for biped robots to serve people. However, it is one of the key challenges for biped robots walking on a slope. In this paper, a universal method to generate patterns for biped robot walking on a three-dimensional (3D) slope is proposed. Different from most researches, which only focused on the specific walking directions on a slope as across or along a slope, the proposed method is applied to biped robots for all directions walking on a slope. First, unification of parameters for biped walking on a 3D slope is designed. Second, walking patterns based on dual linear inverted pendulum method (DLLIPM) on a 3D slope are generated. Finally, the effectiveness of the universal pattern generator is verified through simulations.

关键词： Legged locomotion Foot Robot kinematics Three-dimensional displays Trajectory Generators

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Study of Direction Probability and Algorithm of Improved Marriage in Honey Bees Optimization for Weapon Network system

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Defence Technology（防务技术） 2009年第2期5卷 152-157页

作者：杨晨光涂序彦陈杰 Systems Engineering Research Institute China State Shipbuilding Corporation Department of Automation School of Information Science and Technology Beijing Institute of Technology Ministry of Education of Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology

To solve the weapon network system optimization problem against small raid objects with low attitude,the concept of direction probability and a new evaluation index system are *** calculating the whole damaging probability that changes with the defending angle,the efficiency of the whole weapon network system can be subtly *** such method,we can avoid the inconformity of the description obtained from the traditional index *** new indexes are also proposed,*** index,overlap index and cover index,which help manage the relationship among several *** normalizing the computation results with the Sigmoid function,the matching problem between the optimization algorithm and indexes is well ***,the algorithm of improved marriage in honey bees optimization that proposed in our previous work is applied to optimize the embattlement *** is carried out to show the efficiency of the proposed indexes and the optimization algorithm.

关键词：网络系统优化问题破坏概率算法改进核武器蜜蜂婚姻 Sigmoid函数

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