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检索条件"机构=2. Key Laboratory of Complex System Intelligent Control and Decision"

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A Map Matching Algorithm for Inertial Navigation systems Based on the Adaptive Projection Method

A Map Matching Algorithm for Inertial Navigation Systems Bas...

引用

International Symposium on Computational Intelligence and Design, ISCID

作者： Hao Luo Zhihong Deng Mengyin Fu Bo Wang National Key Laboratory of Intelligent Control and Decision of Complex System School of Automation Beijing China

ISBN: (纸本)9781479970063

In this paper, it studies the various elements of map-matching algorithm, in order to achieve better real-time and accuracy for vehicle navigation systems. This paper uses two-stage staggered mesh, combined with the second round screening domain. Using of vehicle location, direction, road geometric and topological relations with the angular rate of change, this paper proposes a new map matching algorithm, angle and distance segment dominated approach. The results show that the map-matching algorithm in this paper can achieve vehicle navigation and positioning functions accurately and quickly.

关键词： Roads Vehicles Navigation Accuracy Real-time systems Network topology Adaptive algorithms

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complex Terrain Perception based on Hidden Markov Model

Complex Terrain Perception based on Hidden Markov Model

引用

17th International IEEE Conference on intelligent Transportation systems & The Asia-Pacific Council on systems Engineering Conference 2.14

作者： Meiling WANG Liang ZUO Yi YANG Qiangrong YANG Tong LIU School of Automation Beijing Institute of Technology Key Laboratory of Intelligent Control and Decision of Complex System

Terrain perception in complex environment is important for Autonomous Land Vehicle to drive *** order to access the terrain information,in this paper,we present a terrain perception method based on Hidden Markov Model(HMM) which combines LIDAR with machine *** the basis of spatial fan-shaped model,terrain feature extraction is performed to acquire the observation *** markov models describe the vertical structure of the driving space and Viterbi algorithm is used for terrain *** the navigation decision is given based on the perception of the complex *** results show that the method can give an accurate environment description for ALV.

关键词： terrain perception,sensor fusion,feature extraction,principal component analysis,multihidden markov models

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Experiments of a human-robot social interactive system with whole-body movements 20

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2.th CISM-IFToMM Symposium on Theory and Practice of Robots and Manipulators, ROMANSY 2.14

作者： Ma, Gan Huang, Qiang Yu, Zhangguo Chen, Xuechao Zhang, Weimin Gao, Junyao Duan, Xingguang Shi, Qing IRI School of Mechatronical Engineering Beijing Institute of Technology Beijing China Key Laboratory of Biomimetic Robots and Systems Ministry of Education Beijing Institute of Technology Beijing China Key Laboratory of Intelligent Control and Decision of Complex System Beijing Institute of Technology Beijing China

ISBN: (纸本)9783319070575

One crucial problem for a humanoid service robot is to be able to communicate with humans naturally. This study focuses on this issue and develops a social interactive system for a humanoid robot to interact with human beings. The interactive system features hearing, voice conversation, and facial and full body emotional expression capability. Experiments are conducted on the robot to interact with humans in a real human indoor environment, and the effectiveness of the system is evaluated. © Springer International Publishing Switzerland 2.14.

关键词： Anthropomorphic robots

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HCLC integration design and high-precision control of a joint for space manipulator 20

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2.th CISM-IFToMM Symposium on Theory and Practice of Robots and Manipulators, ROMANSY 2.14

作者： Jiang, Zhihong Li, Hui Dong, Que Zhang, Xiaodong Tang, Zixing Rao, Wei Mo, Yang Ji, Chenjun Huang, Qiang IRI School of Mechatronical Engineering Beijing Institute of Technology Beijing China Key Laboratory of Biomimetic Robots and Systems Ministry of Education Beijing Institute of Technology Beijing China Key Laboratory of Intelligent Control and Decision of Complex System Beijing Institute of Technology Beijing China Institute of Spacecraft System Engineering CAST Beijing China

ISBN: (纸本)9783319070575

A novel method is presented to solve many problems of joints for space manipulator, such as large volume, large flexibility, complex routing and low system-{2. precision, which can realize integrated design for space manipulator joint with high-cohesion and low-coupling (HCLC) performance. Moreover, the mechanical and electrical interfaces of designed joint are especially suitable for space manipulator. First, To achieve higher system performance, the joint is designed as a whole for perfect match among components including permanent magnet synchronous motor (PMSM), motor {2.ler and driver, sensors, space environment {2.ler, reducer, routing and other mechanisms, which could eliminate redundant shell packages and mounting surfaces existed in traditional manipulator joint. Second, a new method is presented to design the rotors of two resolvers as joint sensors at the same axis shared with motor rotor, this kind of design has the advantages of redundant and high-precision sensing for the positions of motor rotor and joint, and joint position signal is differential sensing and has high robustness. Then, a kind of high-precision {2.ler is presented for space manipulator based on a new PMSM model with model difference, and this {2.ler is robust to joint nonlinear factors, such as friction and other disturbance torque. Finally, the experimental results showed the designed joint had fine performances with high power density, high {2.ling precision and high operation stability and so on, and it is suitable for the application of space manipulator. © Springer International Publishing Switzerland 2.14.

关键词： controllers

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Color moving object detection method based on automatic color clustering

Color moving object detection method based on automatic colo...

引用

Chinese control Conference (CCC)

作者： Jing Li Junzheng Wang Jiali Mao Key Laboratory of Complex System Intelligent Control and Decision School of Automation Beijing Institute of Technology Beijing Beijing CN

Moving object detection is usually used in gray image, and the color image should be converted to gray images to achieve detection. However, the color object can't be described by simple gray information completely. In order to achieve automatic color moving object detection, the method based on automatic color clustering is especially proposed. Because the difference between adjacent pixels in an image is very small, the initial cluster center can be moved in the maximum distance. The proposed method can reduce the number of iterations and quicken convergence speed, meanwhile determine the number of color cluster and the location of the color object automatically. The proposed algorithm is validated in the actual system, experimental results show that the proposed method can automatically achieve color clustering for color image, while detect color objects.

关键词： Image color analysis Clustering algorithms Image segmentation Color Classification algorithms Object segmentation Object detection

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Improved ICCP algorithm and its application in gravity matching aided inertial navigation system

Improved ICCP algorithm and its application in gravity match...

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Chinese control Conference (CCC)

作者： Meiqi Liu Bo Wang Zhihong Deng Mengyin Fu School of Automation and National Key Laboratory of Intelligent Control and Decision of Complex System Beijing Institute of Technology Beijing Beijing CN

Considering two disadvantages in traditional gravity matching aided inertial navigation system, low matching accuracy and error accumulation, we propose an improved gravity matching algorithm and aided method for inertial navigation system. Instead of using the sequence sampling, the single point sampling is applied to improve the structure of proposed algorithm, enhancing the matching speed and efficiency. In the aided navigation system method, we use combination of Sage-Husa adaptive filter and strong-tracked Kalman filter to make further optimal estimation of the matching trajectory. Simulation results show the effectiveness of the real-time ICCP algorithm and the combined filter algorithm. Comparing to the traditional methods, proposed method provides higher matching and navigation accuracy.

关键词： Gravity Filtering algorithms Algorithm design and analysis Navigation Accuracy Filtering theory

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Human-like walking patterns with pelvic rotation for a humanoid robot

Human-like walking patterns with pelvic rotation for a human...

引用

World Congress on intelligent control and Automation (WCICA)

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

Fast and stable walking is one of the important prerequisite for humanoid robots to serve the people. Pelvic rotations play a significant role when one walks fast. This paper proposes a method to generate human-like walking patterns with pelvic rotation in the transverse plane for a humanoid robot to effectively improve its quickness and stability. First, the regularities of pelvic rotation in the transverse plane during human walking are studied. Second, the mechanism design of a humanoid robot waist for pelvic rotations is presented. Then, a walking trajectory planning with pelvic rotation to improve the stability margin is proposed. Finally, the effectiveness of the method is demonstrated through simulations and experiments on BHR-5.

关键词： Legged locomotion Humanoid robots Trajectory Joints Pelvis Stability analysis

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Fast trajectory planning of reactive operation considering manipulability for a humanoid

Fast trajectory planning of reactive operation considering m...

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World Congress on intelligent control and Automation (WCICA)

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

For humanoid robots, there exist a class of challenging tasks, e.g. playing table tennis, which are non-repeatedly, triggered randomly by sensor events, and compelling the robots to produce reactive operations in very short time. Additionally, some key poses of the robot are partially constrained to accomplish the operations, and are usually adjusted during the operation execution. In this paper, efforts are made to generate trajectory for these operations. Firstly, an extended manipulability index is proposed to optimize the key poses so that the humanoid robot has the manipulability considering joint limits at the key poses, which makes it convenient to adjust the trajectory. Secondly, a fast approach to generating the whole trajectory consisting of all the key poses and the strategies to realize the trajectory adjustment when specifications change are proposed. Finally, the ZMP (Zero Moment Point) displacement excited by the reactive operations is also given to decide whether the generated trajectory is feasible. The effectiveness of the method is demonstrated through simulations.

关键词： Trajectory Joints Humanoid robots Indexes Jacobian matrices Optimization

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complex Terrain Perception based on Hidden Markov Model

Complex Terrain Perception based on Hidden Markov Model

引用

IEEE International Conference on intelligent Transportation systems

作者： Meiling WANG Liang ZUO Yi YANG Qiangrong YANG Tong LIU School of Automation Beijing Institute of Technology Beijing China Key Laboratory of Intelligent Control and Decision of Complex System Beijing China

Terrain perception in complex environment is important for Autonomous Land Vehicle to drive automatically. In order to access the terrain information, in this paper, we present a terrain perception method based on Hidden Markov Model (HMM) which combines LIDAR with machine vision. On the basis of spatial fan-shaped model, terrain feature extraction is performed to acquire the observation model. Hidden markov models describe the vertical structure of the driving space and Viterbi algorithm is used for terrain classification. Then the navigation decision is given based on the perception of the complex environment. Experiment results show that the method can give an accurate environment description for ALV.

关键词： terrain perception sensor fusion feature extraction principal component analysis multihidden markov models

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Distributed Attitude Coordinated Tracking control for Multi-group Spacecrafts Based On Input Normalized Adaptive Neural Network

Distributed Attitude Coordinated Tracking Control for Multi-...

引用

American control Conference

作者： Xiangdong Liu Chao Gan Pingli Lu School of Automation BIT and the National Key Laboratory of Complex System Intelligent Control and Decision (BIT) China School of Automation BIT

ISBN: (纸本)9781479932757

In this paper, the distributed attitude coordinated tracking controller is presented for multi-group spacecrafts based on input normalized adaptive neural network. In contrast to the existing works about spacecraft formation flying(SFF), where all spacecrafts reach the same reference attitude asymptotically, we require that all spacecrafts track several leaders and each spacecraft only synchronize within its group leader, respectively. A distributed finite time observer is proposed for each spacecraft to obtain an accurate estimation of its corresponding reference attitude. A distributed attitude coordination controller based on input normalized neural network is proposed to guarantee that the whole spacecrafts track their corresponding reference attitude cooperatively. Based on Lyapunov theory, the stability of the overall closed-loop {2. is guaranteed, and numerical simulations are shown to demonstrate the effectiveness of the proposed controller.

关键词： SFF Distributed Attitude Coordinated Tracking control Multi-group Spacecrafts Based Spacecraft adaptive neural network tracking control Attitude ENTERING tracking controller Induction loop systems Distribute

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