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Flocking of partially-informed multi-agent systems avoiding obstacles with arbitrary shape

Autonomous Agents and Multi-Agent systems 2014年第5期29卷 943-972页

作者： Li, Jiaojie Zhang, Wei Su, Housheng Yang, Yupu Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China Department of Measurement and Control Technology Shanghai Dian Ji University Shanghai China School of Automation Key Laboratory of Image Information Processing and Intelligent Control (Huazhong University of Science and Technology) Ministry of Education National Key Laboratory of Science and Technology on Multispectral Information Processing Huazhong University of Science and Technology Wuhan China

In this paper, we study the flocking problem of multi-agent systems with obstacle avoidance, in the situation when only a fraction of the agents have information on the obstacles. Obstacles of arbitrary shape are allowed, no matter if their boundary is smooth or non-smooth, and no matter it they are convex or non-convex. A novel geometry representation rule is proposed to transfer obstacles to a dense obstacle-agents lattice structure. Non-convex regions of the obstacles are detected and supplemented using a geometric rule. The uninformed agents can detect a section of the obstacles boundary using only a range position sensor. We prove that with the proposed protocol, uninformed agents which maintain a joint path with any informed agent can avoid obstacles that move uniformly and assemble around a point along with the informed agents. Eventually all the assembled agents reach consensus on their velocity. In the entire flocking process, no distinct pair of agents collide with each other, nor collide with obstacles. The assembled agents are guaranteed not to be lost in any non-convex region of the obstacles within a distance constraint. Numerical simulations demonstrate the flocking algorithm with obstacle avoidance both in 2D and 3D space. The situation when every agent is informed is considered as a special case.

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A new flexible controller for a humanoid robot that considers visual and force information interaction

A new flexible controller for a humanoid robot that consider...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Gan Ma Qiang Huang Zhangguo Yu Xuechao Chen Weimin Zhang Junyao Gao Libo Meng Yun-Hui Liu IRI Beijing Institute of Technology Beijing China Ministry of Education Key Laboratory of Biomimetic Robots and Systems China Beijing Institute of Technology Beijing Beijing CN Key Laboratory of Intelligent Control and Decision of Complex System China

To enhance the safety of a humanoid robot when it is operating a complex environment, a number of methods that combine visual and force information have been presented. These methods are generally divided into two approaches. The first approach is to coordinate the visual controller and force controller in a parallel way, and the second approach is to coordinate them in series. However, these two approaches do not consider the interaction between the visual controller and force controller. Specifically, the first approach does not consider the interaction between the controllers. The second approach only considers the effect of the output of the visual controller on the force controller, while the effect of the force controller on the visual controller is not considered. This study presents a design for a new flexible controller for a humanoid robot that considers the interaction of visual and force information. The advantages of the proposed method are that it simultaneously incorporates the functions of a visual servo controller and a flexible controller as well as its ability to consider the interaction of visual and force information when a humanoid robot is operating.

关键词： Robot kinematics Visualization Force Cameras Humanoid robots Robot vision systems

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Coordinated obstacle avoidance with reduced interaction

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Neurocomputing 2014年 139卷 233-245页

作者： Jiaojie Li Wei Zhang Housheng Su Yupu Yang Hongtao Zhou Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 China Department of Measurement and Control Technology Shanghai Dian Ji University Shanghai 200240 China School of Automation Key Laboratory of Education Ministry for Image Processing and Intelligent Control Huazhong University of Science and Technology Luoyu Road 1037 Wuhan 430074 China

In this paper, we study the coordinated obstacle avoidance algorithm of multi-agent systems when only a subset of agents has obstacle dynamic information, or every agent has local interaction. Each agent can get partial measuring states information from its neighboring agent and obstacle. Coordinated obstacle avoidance here represents not only the agents moving without collision with an obstacle, but also the agents bypassing and assembling at the opposite side of the obstacle collectively, where the opposite side is defined according to the initial relative position of the agents to the obstacle. We focus on the collective obstacle avoidance algorithms for both agents with first-order kinematics and agents with second-order dynamics. In the situation where only a fixed fraction of agents can sense obstacle information for agents with first-order kinematics, we propose a collective obstacle avoidance algorithm without velocity measurements. And then we extend the algorithm to the case in switched topology. We show that all agents can bypass an obstacle and converge together, and then assemble at the opposite side of the obstacle in finite time, if the agents׳ topology graph is connected and at least one agent can sense the obstacle. In the case where obstacle information is available to only a fixed fraction of agents with second-order kinematics, we propose two collective obstacle avoidance algorithms without measuring acceleration when the obstacle has varying velocity and constant velocity. The switched topology is considered and extended next. We show that agents can bypass the obstacle with their positions and velocities approaching consensus in finite time if the connectivity of switched topology is continuously maintained. Several simulation examples demonstrate the proposed algorithms.

关键词： Obstacle avoidance Consensus Reduced interaction Circular motion Multi-agents

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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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Distributed stereoscopic rotating formation control of networks of second-order agents

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Journal of systems Engineering and Electronics 2013年第3期24卷 480-487页

作者： Li Song Qinghe Wu Di Yu Yinqiu Wang Key Laboratory of Complex System Intelligent Control and Decision(Ministry of Education) School of AutomationBeijing Institute of Technology School of Automation Beijing Institute of Technology

Distributed stereoscopic rotating formation control of networks of second-order agents is investigated. A distributed control protocol is proposed to enable all agents to form a stereoscopic formation and surround a common axis. Due to the existence of the rotating mode, the desired relative position between every two agents is time-varying, and a Lyapunov-based approach is employed to solve the rotating formation control problem. Finally, simulation results are provided to illustrate the effectiveness of the theoretical results.

关键词： multi-agent system collective motion stereoscopic rotating formation control.

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Unsupervised robust recursive least-squares algorithm for impulsive noise filtering

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Science China(Information Sciences) 2013年第4期56卷 203-212页

作者： CHEN Jie MA Tao CHEN WenJie PENG ZhiHong School of Automation Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision(Beijing Institute of Technology) Ministry of Education

A robust recursive least-squares(RLS) adaptive filter against impulsive noise is proposed for the situation of an unknown desired *** minimizing a saturable nonlinear constrained unsupervised cost function instead of the conventional least-squares function,a possible impulse-corrupted signal is prevented from entering the filter’s weight updating ***,a multi-step adaptive filter is devised to reconstruct the observed "impulse-free" noisy sequence,and whenever impulsive noise is detected,the impulse contaminated samples are replaced by predictive *** on simulation and experimental results,the proposed unsupervised robust recursive least-square adaptive filter performs as well as conventional RLS filters in "impulse-free" circumstances,and is effective in restricting large disturbances such as impulsive noise when the RLS and the more recent unsupervised adaptive filter fails.

关键词： unsupervised adaptive filtering impulsive noise suppression recursive least-squares algorithm

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Bipedal walking with toe-off, heel-strike and compliance with external disturbances

Bipedal walking with toe-off, heel-strike and compliance wit...

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IEEE-RAS International Conference on Humanoid Robots

作者： Xuechao Chen Yuhang Zhou Qiang Huang Zhangguo Yu Gan Ma Libo Meng Chenglong Fu Key Laboratory of Intelligent Control and Decision of Complex System China Ministry of Education Key Laboratory of Biomimetic Robots and Systems China Intelligent Robotics Institute Beijing Institute of Technology Beijing China Department of Mechanical Engineering Tsinghua University Beijing

ISBN: (纸本)9781479971756

Both disturbance rejection and human-like motions, like toe-off and heel-strike, are important for a biped robot to enhance its performance. However, the required motions for them may influence each other, which is why few studies consider them simultaneously. This paper presents a method to realize stable walking with toe-off and heel-strike even when the robot experiences disturbances. We propose a walking controller which can constrain the desired ground reaction force. On the one hand, the controller can adjust the torso acceleration to make the supporting leg compliant with the external disturbances on the torso. On the other hand, it can rotate the supporting foot by adjusting the ZMP to an appropriate location. The linear inverted pendulum is utilized to generate the CoM trajectory and the foot placement. Meanwhile, its ZMP can be predefined as required so that the toe-off and heel-strike can be achieved by the controller. The effectiveness of the proposed method is demonstrated by simulations.

关键词： Legged locomotion Foot Torso Robot kinematics Acceleration Joints

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Adaptive robust control for electric linear actuator using modified LuGre model with fast load-based parameter estimation

Adaptive robust control for electric linear actuator using m...

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第三十二届中国控制会议

作者： HAO Renjian WANG Junzheng ZHAO Jiangbo Key laboratory of Intelligent Control and Decision of Complex System Beijing Institute of Technology

ISBN: (纸本)9789881563835

This paper addresses the position tracking control problem of electric linear actuator in the presence of nonlinearities due to its transmission process.A torque decoupling approach for electric linear actuator is proposed to achieve respective *** improve the speed of time varying parameters estimating,a load-based adaption law is proposed by designing a new projection mapping which has both variable bounds and good robust *** adaptive robust controller is designed such that it combines decoupled torque and dead-zone compensation to preserve robustness to both parametric and nonparametric *** modified LuGre model is used for friction compensation making a continuous transition from static model. A Lyapunov stability analysis demonstrates that all signals including tracking errors have guaranteed convergent and bounded *** co-simulation results show the effectiveness and the achievable control performance of the proposed control strategy with sinusoidal and point-to-point tracking experiments.

关键词： Adaptive robust control Electric linear actuator LuGre model Fast estimation

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New method of sparse visual saliency feature extraction and application in unmanned vehicle environment sensing

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Information Technology Journal 2013年第20期12卷 5914-5921页

作者： Du, Ming-Fang Wang, Jun-Zheng Li, Jing Cao, Hai-Qing Key Laboratory of Complex System Intelligent Control Decision Beijing Institute of Technology Ministry of Education 100081 Beijing China

A new method based on Hessian matrix threshold of finding local low-level saliency features is proposed in this study after the standard local invariant feature extraction algorithm SRUF (Speeded Up Robust Features) is analyzed. In this method, the number of saliency feature points can change with the change of Hessian threshold. The saliency feature points will become sparser when Hessian threshold becomes larger. When a certain extreme threshold which is defined as Hessian Threshold Node is reached, the retained discriminative feature points are remarkable stability characteristics, also make up the best sparse saliency features set. This method is applied in the unmanned vehicle environment sensing system to help extract the before going vehicle's saliency feature and realize object tracking and obstacle detection. Experiment results show that this is an quick and robust method to determine saliency feature points quantitatively and is very suitable for the occasion which has strong demand on real-time. © 2013 Asian Network for Scientific Information.

关键词： Object detection

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Research of networked fire control system simulation based on component technology

Research of networked fire control system simulation based o...

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Chinese control Conference (CCC)

作者： Chunlei Sun Chen Chen School of Automation Beijing Institute of Technology Beijing Beijing CN Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing School of Automation Beijing Institute of Technology Beijing

The research of networked fire control system simulation plays an important role in modern warfare. Federates of simulation systems based on High Level Architecture (HLA) have a poor reusability. In order to improve their reusability, the idea of componentization was used to divide federates into several smaller reusable modules by analyzing the internal information flow of the federates. By component technology, three types of small components which have better reusability were designed, including common components, special components and communication components. These components can be used to build a multiple complex models which can be combined with new simulation frameworks to form defense simulation systems for different attacking targets. A simulation task was designed to verify the flexibility and reusability of the designed components and to improve the function of the federates, which effectively improved development efficiency of simulation systems.

关键词： Fires control systems Target tracking Load modeling Process control Analytical models Object oriented modeling

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