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2010 IEEE/RSJ International Conference on Intelligent Robots and systems

作者： Tomoaki Mashimo Takateru Urakubo Takeo Kanade Robotics Institute Carnegie Mellon University Pittsburgh PA USA Department of Computer Science and Systems Engineering Kobe University Kobe Japan

We propose a singularity-based mechanism (SBM) to exploit the singular configuration that improves the angular acceleration instead of constraining the movement. The tradeoff between the responsiveness and the range of motion is achieved by varying a length of linkage in the SBM. In this paper, we clarify the responsiveness of the SBM using the dynamics analysis. For the demonstration, we build an experimental SBM system with the high responsiveness, a practical range of motion, and a size comparable to a human arm. In the experiment, the effectiveness of the SBM is shown in a vertical lifting task. The characteristic of the SBM that generates a large acceleration at start is similar to the human arm moved by a muscle. The similarity between the SBM and the human arm is analyzed in terms of the static torque.

关键词： Actuators

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When to assist? - A human model for hybrid assembly systems

When to assist? - A human model for hybrid assembly systems

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4th International Conference on Cognitive systems, CogSys 2010

作者： Huber, Markus Radrich, Helmuth Wendt, Cornelia Glasauer, Stefan Knoll, Alois Färber, Berthold Brandt, Thomas Center for Sensorimotor Research Clinical Neurosciences Ludwig-Maximilians-Universität München Germany Robotics and Embedded Systems Lab. Department of Computer Science Technische Universität München Germany Human Factors Institute Universität der Bundeswehr München Germany

Over centuries it has been common usage that the cooperation of foreman and assistant increases the working efficiency. This is due to the mutual understanding of each others actions and intentions. Hence, an important first step for automation in this field is to develop models of this natural and adaptive assistance. An artificial system equipped with such models would enable higher acceptance, passive safety and efficiency. Towards this goal we investigated the most common physical interaction occurring in human-robot cooperation - the handing over of items. In experiments, the timing and interplay of different modalities during a typical assembly task were analysed. A first model to predict timings and motor programs has been develop [1][2].

关键词： Efficiency

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Mining Inconsistent Data with the Bagged MLEM2 Rule Induction Algorithm

Mining Inconsistent Data with the Bagged MLEM2 Rule Inductio...

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IEEE International Conference on Granular Computing (GRC)

作者： Clinton Cohagan Jerzy W. Grzymala-Busse Zdzislaw S. Hippe Department of Electrical Engineering and Computer Science University of Kansas Lawrence KS USA Institute of Computer Science Polish Academy of Sciences Warsaw Poland Department of Expert Systems and Artificial Intelligence University of Information Technology and Management Rzeszow Poland

In this paper, we investigate mining of inconsistent data using a successful approach to such data based on rough set theory. The main objective of this paper was to compare the quality of rule sets induced using two different approaches to inconsistency - lower and upper approximations - and three different approaches to ensemble voting - based on support, strength and majority - in the bagged MLEM2 algorithm for rule induction. Our main conclusion is that there is no significant difference in performance between one of the most successful techniques used in bagging, majority voting, and voting based on support (two-tailed Wilcoxon test, 5% level of significance).

关键词： Error analysis Bagging Approximation methods Data mining Set theory Iris recognition Tumors

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Adaptive predictive control of a class of discrete-time MIMO nonlinear systems with uncertain couplings

Adaptive predictive control of a class of discrete-time MIMO...

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作者： Yang, Chenguang Li, Yanan Ge, Shuzhi Sam Lee, Tong Heng Department of Bioengineering Imperial College London London SW7 2AZ United Kingdom Social Robotics Lab Interactive Digital Media Institute and Department of Electrical and Computer Engineering National University of Singapore Singapore 117576 Singapore Institute of Intelligent Systems University of Electronic Science and Technology of China Chengdu 610054 China

ISBN: (纸本)9781424474264

In this paper, a novel adaptive predictive control is presented for a class of multi-input-multi-output (MIMO) nonlinear systems in block-triangular form with uncertain couplings of states/delayed states as well as inputs among subsystems. For each subsystem of the MIMO system, future states prediction is developed and using the predicted future states, adaptive predictive control is designed under certainty equivalence principal to compensate the parametric uncertainties in the couplings. To eliminate the functional uncertainties in the couplings, a novel compensation mechanism is developed for each subsystem. Under the proposed adaptive controls, all the signals in the closed-loop MIMO systems are guaranteed to be globally bounded. In addition, all the output tracking errors are guaranteed to converge to zeros. The effectiveness of the proposed control is demonstrated in the simulation. © 2010 AACC.

关键词： Couplings

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Internal force compensating method for wall-climbing caterpillar robot

Internal force compensating method for wall-climbing caterpi...

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IEEE International Conference on robotics and Automation (ICRA)

作者： W. Wang K. Wang H. X. Zhang J. W. Zhang Robotics Institute School of Mechanical Engineering and Automation Beijing Aeronautics and Astronautics University Beijing China Institute of Technical Aspects of Multimodal Systems Department of Computer Science University of Hamburg Hamburg Germany

The redundant driving problem is an inherent phenomenon existing in a modular caterpillar robot. To limit the internal forces arising from the redundant driving, this paper proposes a joint torque control method, which is based on an assumption that there is only one active joint in the four-link mechanism driving the climbing gait. Except the active joint, the other three joints are all considered as passive joints, whose torques tend to be zero, although they are driven by motors in reality. According to the analyses of static forces in the closed chain state, the ideal torque of named active joint is calculated, and will be followed by the joint in real climbing locomotion. The experiments reveal the reasonability and feasibility of the proposed joint control method, as well as the limitations of current prototype and control algorithm.

关键词： Climbing robots Motion control robotics and automation Kinematics Biological control systems Torque control Joining processes USA Councils Tail Gravity

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Editorial Special issue on approximate dynamic programming and reinforcement learning

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控制理论与应用（英文版） 2011年第3期 309-309页

作者： Silvia Ferrari Jagannathan Sarangapani Frank L. Lewis Laboratory for Intelligent Systems and Control(LISC)Department of Mechanical Engineering & Materials Science Box 90300 Duke University Durham NC 27708-0005 Department of Electrical & Computer Engineering University of Missouri-Rolla MO 65401 U.S.A. Automation and Robotics Research Institute The University of Texas at Arlington 7300 Jack Newell Blvd. S Ft. Worth Texas 76118-7115 U.S.A.

We are extremely pleased to present this special issue of the Journal of Control Theory and *** dynamic programming (ADP) is a general and effective approach for solving optimal control and estimation problems by adapting to uncertain environments over *** optimizes the sensing objectives accrued over a future time interval with respect to an adaptive control law,conditioned on prior knowledge of the system,its state,and uncertainties.A numerical search over the present value of the control minimizes a Hamilton-Jacobi-Bellman (HJB) equation providing a basis for real-time,approximate optimal control.

关键词： reinforcement learning dynamic programming optimal control effective approach prior knowledge Control Theory real-time control law problems special search future ADP basis

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Learning compliance control of robot manipulators in contact with the unknown environment

Learning compliance control of robot manipulators in contact...

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2010 IEEE International Conference on Automation science and Engineering, CASE 2010

作者： Li, Yanan Yang, Chenguang Ge, Shuzhi Sam Social Robotics Lab. NUS Graduate School for Integrative Sciences and Engineering National University of Singapore Singapore 119613 Singapore Department of Bioengineering Imperial College London London SW7 2AZ United Kingdom Department of Electrical and Computer Engineering Interactive Digital Media Institute National University of Singapore Singapore 117576 Singapore Institute of Intelligent Systems University of Electronic Science and Technology of China Chengdu 610054 China

ISBN: (纸本)9781424454471

In this paper, a control mechanism is presented to improve the compliance performance of the robot manipulator when it is in contact with the unknown environment. This mechanism guarantees that the dynamics of the whole system follows a target impedance model so that the desired compliance performance is obtained. In particular, under the assumption that the dynamics is periodic, a learning law is developed to estimate the unknown dynamics parameters. Besides, the proposed systematic learning control does not require the accurate force measurement. Its performance and robustness are discussed in details by the rigorous analysis. At last, the validity of the proposed method is verified by simulation. © 2010 IEEE.

关键词： Modular robots

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Reducing stick-slip motion in one-dimensional nano manipulation by real-time feedback control

Reducing stick-slip motion in one-dimensional nano manipulat...

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2010 10th IEEE Conference on Nanotechnology, NANO 2010

作者： Zhang, Jing Miao, Lei Wu, Re-Bing Xi, Ning Li, Chun-Wen Wang, Yue-Chao Tarn, Tzyh-Jong Department of Automation Tsinghua University Beijing 100084 China Center for Quantum Information Science and Technology Tsinghua National Laboratory for Information Science and Technology Beijing 100084 China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Beijing 110016 China Department of Electrical and Computer Engineering Michigan State University East Lansing MI 48824 United States Department of Electrical and Systems Engineering Washington University St. Louis MO 63130 United States

ISBN: (纸本)9781424470334

When a micro cantilever with a nanoscale tip is manipulated on a substrate with atomic roughness, e.g., pushing an atomic-scale sample or etching the surface of the substrate to draw desired patterns, the periodical lateral frictional forces with stochastic fluctuations will induce stick-slip motion of the cantilever tip, which may greatly influence the precision of the nano manipulation. To reduce such a stick-slip motion, we propose a feedback control strategy based on the position estimation of the cantilever tip to compensate the periodical frictional force. Numerical simulations show that the motion of the cantilever tip under feedback control can track the desired trajectory asymptotically. Our proposal can aL be extended to the case when the cantilever tip moves over a Gaussian-shape defection on the substrate and when the stochastic fluctuations in the lateral force are with non-zero correlation time. ©2010 IEEE.

关键词： Feedback control

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Load Distribution Algorithm Based on Transcoding Time Estimation for Distributed Transcoding Servers

Load Distribution Algorithm Based on Transcoding Time Estima...

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International Conference on Information science and Applications (ICISA)

作者： Dongmahn Seo Jongwoo Kim Inbum Jung Imaging Media Center Robotics/Systems Division Korea Institute of Science and Technology Seoul South Korea Department of Computer and Communications Engineering College of Information Technology Kangwon University Chuncheon Gangwon South Korea

ISBN: (纸本)9781424459421;9781424459438

As a result of improvements in wireless communication technologies, a multimedia data streaming service can be provided for mobile clients such as PDAs and cellular phones. Because mobile devices have low computing power and work on a low network bandwidth, a transcoding technology is needed to adapt the original streaming media for mobile environments. To provide quality of service, original encoded media are transcoded within limited time and transmitted to clients without ceasing and jittering phenomena. In particular, when large-scale mobile clients demand streaming services, load distribution methods among distributed transcoding servers have a tremendous impact on the total number of quality of service streams. In this paper, a new load distribution method is proposed based on transcoding time estimation with transcoding servers' information, movie information and target transcoding bit-rate. In experiments, the proposed method produces the best performance scalability according to the increase of transcoding servers.

关键词： Transcoding Streaming media Mobile computing Quality of service Network servers Wireless communication Communications technology Multimedia communication Personal digital assistants Cellular phones

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On asymptotic consensus value in directed random networks

On asymptotic consensus value in directed random networks

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IEEE Conference on Decision and Control

作者： Victor M. Preciado Alireza Tahbaz-Salehi Ali Jadbabaie Department of Electrical and Systems Engineering University of Pennsylvania Philadelphia PA USA Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge MA USA General Robotics Automation Sensing and Perception (GRASP) Laboratory Department of Electrical and Systems Engineering University of Pennsylvania Philadelphia PA USA

ISBN: (纸本)9781424477456

We study the asymptotic properties of distributed consensus algorithms over switching directed random networks. More specifically, we focus on consensus algorithms over independent and identically distributed, directed random graphs, where each agent can communicate with any other agent with some exogenously specified probability. While different aspects of consensus algorithms over random switching networks have been widely studied, a complete characterization of the distribution of the asymptotic value for general asymmetric random consensus algorithms remains an open problem. In this paper, we derive closed-form expressions for the mean and an upper bound for the variance of the asymptotic consensus value, when the underlying network evolves according to an i.i.d. directed random graph process.

关键词： Eigenvalues and eigenfunctions Switches Markov processes Silicon Upper bound Closed-form solution Convergence

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