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Reinforcement learning of impedance control in stochastic force fields

Reinforcement learning of impedance control in stochastic fo...

引用

IEEE International Conference on Development and Learning, ICDL

作者： Freek Stulp Jonas Buchli Alice Ellmer Michael Mistry Evangelos Theodorou Stefan Schaal Computational Learning and Motor Control Laboratory University of Southern California Los Angeles CA USA Department of Advanced Robotics Italian Institute of Technology Genova Italy Disney Research Pittsburgh PA USA

Variable impedance control is essential for ensuring robust and safe physical interaction with the environment. As demonstrated in numerous force field experiments, humans combine two strategies to adapt their impedance to external perturbations: 1) if perturbations are unpredictable, subjects increase their impedance through co-contraction; 2) if perturbations are predictable, subjects learn a feed-forward command to counter the known perturbation. In this paper, we apply the force field paradigm to a simulated 7-DOF robot, by exerting stochastic forces on the robot's end-effector. The robot `subject' uses our model-free reinforcement learning algorithm PI2 to simultaneously learn the end-effector trajectories and variable impedance schedules. We demonstrate how the robot learns the same two-fold strategy to perturbation rejection as humans do, resulting in qualitatively similar behavior. Our results provide a biologically plausible approach to learning appropriate impedances purely from experience, without requiring a model of either body or environment dynamics.

关键词： Computational modeling Noise measurement

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control of legged robots with optimal distribution of contact forces

Control of legged robots with optimal distribution of contac...

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IEEE-RAS International Conference on Humanoid Robots

作者： Ludovic Righetti Jonas Buchli Michael Mistry Stefan Schaal Computational Learning and Motor Control Laboratory University of Southern California Los Angeles CA USA Department of Advanced Robotics Italian Institute of Technology Genova Italy Disney Research Pittsburgh Pittsburgh PA USA

The development of agile and safe humanoid robots require controllers that guarantee both high tracking performance and compliance with the environment. More specifically, the control of contact interaction is of crucial importance for robots that will actively interact with their environment. Model-based controllers such as inverse dynamics or operational space control are very appealing as they offer both high tracking performance and compliance. However, while widely used for fully actuated systems such as manipulators, they are not yet standard controllers for legged robots such as humanoids. Indeed such robots are fundamentally different from manipulators as they are underactuated due to their floating-base and subject to switching contact constraints. In this paper we present an inverse dynamics controller for legged robots that use torque redundancy to create an optimal distribution of contact constraints. The resulting controller is able to minimize, given a desired motion, any quadratic cost of the contact constraints at each instant of time. In particular we show how this can be used to minimize tangential forces during locomotion, therefore significantly improving the locomotion of legged robots on difficult terrains. In addition to the theoretical result, we present simulations of a humanoid and a quadruped robot, as well as experiments on a real quadruped robot that demonstrate the advantages of the controller.

关键词： Torque Dynamics Acceleration Redundancy Legged locomotion Joints

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Hovering flight improvement of a quad-rotor mini UAV using Brushless DC motors

Hovering flight improvement of a quad-rotor mini UAV using B...

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作者： Sanchez, A. García Carrillo, L.R. Rondon, E. Lozano, R. Garcia, O. Robotics and Advanced Manufacturing Division Research Center for Advanced Studies-Cinvestav Carretera Saltillo-Monterrey km. 13.5 Ramos Arizpe Coahuila 25900 Mexico UMR CNRS 6599 Université de Technologie de Compiègne Heudiasyc Centre de Recherches de Royallieu B.P. 20529 Compiègne 60205 France Franco-Mexican Laboratory on Computer Science and Control UMI-CNRS 3175 Av. Instituto Politecnico Nacional No. 2508 San Pedro Zacatenco México DF 07360 Mexico

This paper present the design of a novel embedded control system for improving attitude stabilization of a quad-rotor mini UAV. The control strategy uses low cost components and includes an extra control loop based on motor armature current feedback. This additional control loop significantly improves the performance of the quad-rotor attitude stability. This technique results in a controller that is robust with respect to external disturbances as has been observed experimentally. © 2010 Springer Science+Business Media B.V.

关键词： Brushless DC motors

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Feature referenced tip localization enhanced by probability motion model for AFM based nanomanipulations

Feature referenced tip localization enhanced by probability ...

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IEEE International Conference on robotics and Biomimetics

作者： Shuai Yuan Lianqing Liu Zhidong Wang Ning Xi Yuechao Wang Zaili Dong Zhiyu Wang Zhibo Wang College of Information & Control Engineering of Shenyang Jianzhu University State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Department of Advanced Robotics Chiba Institute of Technology Department of Electrical and Computer Engineering Michigan State University

ISBN: (纸本)9781457721366

The spatial uncertainties of tip positioning due to the nonlinearity of the PZT scanner and thermal drift hinder the further application of the AFM based nanomanipulation. This paper brings forward feature referenced tip localization enhanced by probability motion model to reduce the spatial uncertainties. An improved motion model is probabilistically built by incorporating the PI model, the creep model and the thermal drift model. For calibrating the accurate model parameters, the statistical experiments are designed and performed. Then the tip position is optimally estimated by combining with a local scan based feature sensing method. The simulation and corresponding experiments are performed to illustrate the validity and feasibility of the calibrated parameters and the algorithm.

关键词： Atomic Force Microscopy terminal interface processor nonlinearity based model parameters Drift models

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An extended PI model for hysteresis and creep compensation in AFM based nanomanipulation

An extended PI model for hysteresis and creep compensation i...

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2010 IEEE International Conference on robotics and Biomimetics, ROBIO 2010

作者： Wang, Zhiyu Liu, Lianqing Wang, Zhidong Dong, Zaili Yuan, Shuai State Key Laboratory of Robotics Shenyang Institute of Automation CAS Shenyang 110016 China Dept. of Advanced Robotics Chiba Institute of Technology Chiba Japan Graduate School of Chinese Academy of Sciences Beijing 100001 China Faculty of Electrical and Control Engineering Liaoning Technical University Huludao 125105 China

ISBN: (纸本)9781424493173

One of the prerequisites for AFM based nanomanipulation is that the tip position can be controlled accurately, while this prerequisite is still hindered by the large model uncertainties aroused from PZT nonlinearity such as hysteresis and creep. In this paper, an Extended Prandtl-Ishlinskii (EPI) model is proposed to solve these problems. The main advantage of EPI model over conventional PI model is that the EPI model can compensate the positioning error caused by hysteresis and creep simultaneously through adopting the new adaptive basic operator. The experimental results demonstrate the effectiveness and validity of EPI model in depicting the PZT hysteresis and creep prosperities. © 2010 IEEE.

关键词： Creep

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Modeling and analyzing nano-particle pushing with an AFM by using nano-hand strategy

Modeling and analyzing nano-particle pushing with an AFM by ...

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IEEE International Conference on Nano/Micro Engineered and Molecular Systems

作者： Hou, Jing Wang, Zhidong Liu, Lianqing Yang, Yongliang Dong, Zaili Wu, Chengdong College of Information Science and Engineering Northeastern University Shenyang 110004 China Department of Advanced Robotics Chiba Institute of Technology Chiba 275-0016 Japan State Key Laboratory of Robotics Shenyang Institute of Automation CAS Shenyang 110016 China School of Information and Control Engineering Shenyang Jianzhu University Shenyang 110168 China

ISBN: (纸本)9781424465439

One of the major limitations for Atomic Force Microscopy (AFM) based nanoparticle pushing is that AFM only has one sharp tip as the end-effector. The interaction force between the nanoparticle and the tip is applied through a single point, which often leads the AFM tip to slip-away from the nanoparticle due to their small touch area. Then several minutes is needed to relocate the missed nanoparticle by a new image scan. Moreover, if the nanoparticle is very soft, the sharp tip may damage the particle instead of pushing it away due to the cutting effect of the sharp tip. In this paper, a nano-hand strategy is proposed to resolve this problem. Based on the theoretical analysis to the behavior model of nanoparticle, the pushing points, pushing step-length and pushing speed of AFM tip are planned artfully, through which a multi-tip manipulation effect can be imitated with a single tip. The nanoparticle is pushed as by a virtual nano-hand during manipulation,. In this way, the slip-away problem due to single AFM tip pushing can be get rid of efficiently. The simulation and experiments results show the increased effectiveness of AFM based nanomanipulation. ©2010 IEEE.

关键词： Atomic force microscopy

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Modeling and analyzing nano-rod pushing with an AFM

Modeling and analyzing nano-rod pushing with an AFM

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2010 10th IEEE Conference on Nanotechnology, NANO 2010

作者： Hou, Jing Wu, Chengdong Liu, Lianqing Wang, Zhidong Dong, Zaili Dept. of Electrical and Computer Engineering Northeastern University Shenyang 110004 China State Key Laboratory of Robotics Shenyang Institute of Automation CAS Shenyang 110016 China Dept. of Advanced Robotics Chiba Institute of Technology Chiba Japan School of Information and Control Engineering Shenyang Jianzhu University Shenyang 110168 China

ISBN: (纸本)9781424470334

In developing nano-devices and nano-structures, traditional methodologies on MEMS meet the difficulty from the scale restriction. With the strategy of objects assembly, using AFM to handle nano-rods and other nano-objects is considered as an important and high potential technology in constructing nanostructures. However most of AFM only has one tip as the end effector and cannot control both translational and rotational motions during manipulation, this makes it be difficult to realize posture controllable manipulation especially in nano environment. In this paper, the behavior of nano-rod under pushing is theoretically analyzed and modeled. Viscous friction is incorporated in the model and the two situations that the pivot of the nanorod is either inside or outside the rod are addressed. By modeling, the pivot can be determined at each manipulation in real time, and the pushing points can be planned to realize posture controllable manipulation by using nano-hand strategy which is inspired by stable pushing theory of object manipulation in macro world, and to improve the reliability and the precision of manipulation. ©2010 IEEE.

关键词： Nanorods

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Modeling and analyzing nano-particle pushing with an AFM by using nano-hand strategy

Modeling and analyzing nano-particle pushing with an AFM by ...

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IEEE International Conference on Nano/Micro Engineered and Molecular Systems (NEMS)

作者： Jing Hou Zhidong Wang Lianqing Liu Yongliang Yang Zaili Dong Chengdong Wu College of Information Science and Engineering Northeastern University China School of Information and Control Engineering Shenyang Jianzhu University Shenyang China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy and Sciences Shenyang China Department of Advanced Robotics Chiba Institute of Technology Chiba Japan

关键词： Force Friction Real time systems Substrates Mathematical model Nanoparticles Kinematics

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An extended PI model for hysteresis and creep compensation in AFM based nanomanipulation

An extended PI model for hysteresis and creep compensation i...

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IEEE International Conference on robotics and Biomimetics

作者： Zhiyu Wang Lianqing Liu Zhidong Wang Zaili Dong Shuai Yuan Faculty of Electrical and Control Engineering Liaoning Technical University Huludao China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy and Sciences Shenyang China Chinese Academy and Sciences Beijing China Department of Advanced Robotics Chiba Institute of Technology Chiba Japan Chinese Academy of Sciences Beijing Beijing CN

ISBN: (纸本)9781424493197

关键词： Creep Hysteresis Fitting Data models Adaptation model Robot sensing systems

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Matrix-Based Approach to Sequence analysis in Multiple Reentrant Flowlines

Matrix-Based Approach to Sequence analysis in Multiple Reent...

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2008 American control Conference (ACC), vol.3

作者： Tamara Petrovic Stjepan Bogdan LARICS-Laboratory for Advanced Robotics and Intelligent Control Systems Faculty of Electrical Engeneering and Computing University of Zagreb Croatia

This paper presents a method for extension of matrix model of manufacturing system in order to provide an efficient tool for analysis of systems with various dispatching sequences of shared resources. Proposed method is used for transformation of system matrices in linear max-plus model. Once the linear model is determined sequence feasibility can be checked. Furthermore, the method provides a straightforward procedure for production cycle calculation and resource utilisation. Efficiency of presented technique is demonstrated on a manufacturing system example at the end of the paper.

关键词： Manufacturing systems Dispatching Resource management Production Flexible manufacturing systems Algebra Laboratories Intelligent robots Intelligent control Computer aided manufacturing

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