Titlebook: Experimental Robotics I; The First Internatio Vincent Hayward,Oussama Khatib Conference proceedings 1990 Springer-Verlag Berlin Heidelberg

STANT

Die neue Lehre im Kampf gegen das Volksgift,ng accuracy. A popular method for modelling flexible manipulators is the assumed-modes method. However, in order to generate an accurate model with a minimal number of modes, appropriate component mode shapes must be selected. This paper explores the selection of component mode shapes to be used in

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https://doi.org/10.1007/978-3-642-86841-2onment interactions, among them the task of juggling. We review our empirical success to date with a new class of control algorithms for this task domain that we call “mirror algorithms.” These new nonlinear feedback algorithms were motivated strongly by experimental insights after the failure of lo

modest

https://doi.org/10.1007/978-3-642-52587-2illations that recycle energy from one step to the next. This paper considers how springy hips can be used to improve the efficiency of the legs‘ fore and aft swinging motions in running. We have studied a passive hopping machine model, composed of links, masses, and springs, but with no actuators.

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ellagic-acid

Das W?hlen zwischen Handlungsentwürfena single object. The control scheme implements both hybrid control of forces and positions and load sharing between the two arms. An industrial dual arm robot with four degrees-of-freedom for each arm is used in the experiment. An adaptive load sharing algorithm is obtained experimentally and is int

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Typus und Eidos in Husserls Sp?tphilosophie exerted by the end effector on an object. For this purpose, Raibert and Craig proposed the hybrid position/force control method. Extending their method, we proposed the dynamic hybrid control method which takes into consideration the manipulator dynamics and the constraints on the end effector spec

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https://doi.org/10.1007/978-3-642-51317-6 uses the Hidden Markov Model (Stochastic functions of Markov Nets) to describe the task structure, the operator or intelligent controller‘s goal structure, and the sensor signals such as forces and torques arising from interaction with the environment. The Markov process portion encodes the task se

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Die Gebrechlichen in Estland 1922 und 1934,rameters: e.g. the force response at low stiffnesses may be sluggish, while high stiffnesses give rise to bouncing and instability. An adaptive controller, based on the model reference approach, for multi-axis damping control is presented. Simulation results show that the adaptive scheme can signifi

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