Locally Weighted Learning (LWR) is a class of approximations, based on a local model. In this paper we demonstrate using LWR together with Q-learning for control tasks. Q [...]

The creation of direct kinematic model is relatively simply in contrast with creation of analytic inverse model. With using of approximating methods is inverse modelling [...]

Abstrakt: Příspěvek se zabývá řešením otázky navigace autonomního lokomočního robotu (ALR) OMR III. Dalším úkolem bylo vytvořením navigačních modulů p [...]

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 [...]

Abstrakt: The control of motion a robot manipulator gripper and a mobile (locomotion) robot behaviour requires the solution of the direct and inverse kinematics and dynam [...]

Abstrakt: Possible discretization technique oj the continuous state space oj Jour-Iegged robot using simultaneous compositions oj behaviors is described in this contribut [...]

Abstrakt: A great intention is lately focused on Reinforcement Learning (RL) methods. The article is focused on improving model free RL method known as Q-Iearning algorit [...]

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