The study is focused on velocity control of a manipulator motion in the case when the precise execution of commands cannot be guaranteed because of the imperfection of the control system or interaction with the robot ...
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This paper discusses the stiffness parameters identification for an anthropomorphic walking platform. The robot stiffness model build using a virtual joint model by introducing additional springs, then the parameters ...
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In this paper, a control pipeline for an industrial robot arm is presented. The robot is proposed as a test bench for machine learning experiments, where it is important to have a reliable and repeatable behavior of t...
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In this work we conducted an experiment involving keeping balance on a platform to research the perception of maintaining body posture. The objective of the present work was to characterize the fatigue during experime...
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The reinforcement learning approach allows learning desired control policy in different environments without explicitly providing system dynamics. A model-free deep Q-learning algorithm is proven to be efficient on a ...
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Modern robotics represents a collaboration between industry and scientific community, with interdisciplinary research being at its forefront. This leads to wide variation in the requirements for robotic systems, which...
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This paper is focused on a problem of using reaction predictors in the control pipeline of walking robots. The use of such predictors has been proposed for bipedal robots and the main advantage of this proposal is tha...
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The problem of finding the shortest path for manipulators with obstacle avoidance has many solutions. The paper presents the usage of well-known methods for solving that problem using mixed reality glasses. Glasses co...
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In this work we develop the method of determining the moment of time of the beginning of the act of the imagination of movement by the analysis of the electroencephalograms according to the data that were obtained dur...
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In this article, trajectory optimization of an inverted pendulum on a cart with machine learning tools is analyzed. Reinforcement learning and Q-learning algorithm are used for searching and optimization of trajectori...
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