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GEORGOPOULOS, Costas
The challenge of learning conceptual design at universities is exacerbated with the introduction of sustainability that is a relatively new and fast evolving subject. The [...]
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Algorithm of locally weighted regression is presented in this contribution. Local approximator repeatedly uses the locally linear model based on least square method. Simu [...]
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Q-learning method proved to be usable in active magnetic bearing (AMB) control task, however the learning speed remains the main problem. Two-phase variant of the Q-learn [...]
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Abstrakt: The contribution is focused on design of multi-legged robot leg as an autonomous system. Leg is composed of the leg mechanism, 3 leg drives, sensor and control [...]
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Krejčí, P.
This paper presents design of intelligent sensor for robotic leg of quadruped experimental robot. Information about contact load as well as direction and magnitude of con [...]
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This paper deals with the design of inverse kinematic model in software MATLAB-SIMMECHANICS. Presented approach is applied to particular robotic mechanism, the panthograp [...]
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The paper deals with the development of biomechanical model in order to simulate a man walking over the elastic bridge and the interaction of both objects. The current ci [...]
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The leg design is described in the contribution. Some possibilities of leg control and requirements related to both sensor system of the leg and complete robot are assign [...]
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There are several randomized methods for problem of path planning. Rapidly exploring random trees (RRT) is a method which can deal with constraints typical for legged wal [...]
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The contribution deals with the arrangement of coordination mechanism of gait controllers of four legged robot. Robot system is modeled as discrete events dynamic system [...]
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Abstrakt: Possible discretization technique oj the continuous state space oj Jour-Iegged robot using simultaneous compositions oj behaviors is described in this contribut [...]
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The possible method of walking policy obtaining of four-legged robot through Q-learning is discussed in the contribution. Q-learning is implemented using architecture rep [...]
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