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Design and Construction of a Hexapod Robot
Žák, Marek ; Rozman, Jaroslav (referee) ; Kubát, David (advisor)
This paper describes design, analysis and implementation of the six-legged walking robot - hexapod. The design and implementation of mechanical engineering, electronic and power management and walking algorithms are described in the thesis. The project is also a guide to the construction of a robot, which may be used for experiments with walking algorithms.
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Hexapod Robot Movement Control
Žák, Marek ; Luža, Radim (referee) ; Rozman, Jaroslav (advisor)
This thesis discusses walking robots issues, their classification, management and construction. There are listed the most famous motion algorithms and their graphical representation. Examples of existing walking robots are also mentioned in this thesis. There are also described modifications of hexapod robot, its hardware and software. The robot is controlled through graphical user interface, which displays data from all sensors, visualises positions of all legs and allows the creation of user defined gaits and its simulations.
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Using of Reinforcement Learning for Four Legged Robot Control
Ondroušek, Vít ; Maga,, Dušan (referee) ; Maňas, Pavel (referee) ; Singule, Vladislav (referee) ; Březina, Tomáš (advisor)
The Ph.D. thesis is focused on using the reinforcement learning for four legged robot control. The main aim is to create an adaptive control system of the walking robot, which will be able to plan the walking gait through Q-learning algorithm. This aim is achieved using the design of the complex three layered architecture, which is based on the DEDS paradigm. The small set of elementary reactive behaviors forms the basis of proposed solution. The set of composite control laws is designed using simultaneous activations of these behaviors. Both types of controllers are able to operate on the plain terrain as well as on the rugged one. The model of all possible behaviors, that can be achieved using activations of mentioned controllers, is designed using an appropriate discretization of the continuous state space. This model is used by the Q-learning algorithm for finding the optimal strategies of robot control. The capabilities of the control unit are shown on solving three complex tasks: rotation of the robot, walking of the robot in the straight line and the walking on the inclined plane. These tasks are solved using the spatial dynamic simulations of the four legged robot with three degrees of freedom on each leg. Resulting walking gaits are evaluated using the quantitative standardized indicators. The video files, which show acting of elementary and composite controllers as well as the resulting walking gaits of the robot, are integral part of this thesis.
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Using of Reinforcement Learning for Four Legged Robot Control
Ondroušek, Vít ; Březina, Tomáš (advisor)
The Ph.D. thesis is focused on using the reinforcement learning for four legged robot control. The main aim is to create an adaptive control system of the walking robot, which will be able to plan the walking gait through Q-learning algorithm. This aim is achieved using the design of the complex three layered architecture, which is based on the DEDS paradigm. The small set of elementary reactive behaviors forms the basis of proposed solution. The set of composite control laws is designed using simultaneous activations of these behaviors. Both types of controllers are able to operate on the plain terrain as well as on the rugged one. The model of all possible behaviors, that can be achieved using activations of mentioned controllers, is designed using an appropriate discretization of the continuous state space. This model is used by the Q-learning algorithm for finding the optimal strategies of robot control. The capabilities of the control unit are shown on solving three complex tasks: rotation of the robot, walking of the robot in the straight line and the walking on the inclined plane. These tasks are solved using the spatial dynamic simulations of the four legged robot with three degrees of freedom on each leg. Resulting walking gaits are evaluated using the quantitative standardized indicators. The video files, which show acting of elementary and composite controllers as well as the resulting walking gaits of the robot, are integral part of this thesis.
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Implementaion of the controllers of a mobile walking robot
Krajíček, Lukáš ; Věchet, Stanislav (referee) ; Ondroušek, Vít (advisor)
This diploma thesis deals with design and implementation of the controllers of a mobile walking robot. The advantage of these controllers are their kinematics and geometrics independent representation, which allow to use them for different robot types and tasks. In this thesis the contact controller is designed, which minimizes residual forces and torques at the robot's center of gravity, and thereby stabilize robot's body. Next the thesis deals with a posture controller, which maximizes a heuristic posture measure to optimize posture of robot body. Because of this optimization, legs are moved away from their limits and therefore they have more working space for next move. Implementation of the chosen solution is made on the robot's MATLAB mathematical model. Controllers are composed into a control basis, that allows to solve general control tasks by simultaneous combination of contained controllers. The algorithm was created for that simultaneous activation and its operation was explained on flow charts.
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Modelování dvounohého robotu: Kinematické numerické modely
Grepl, Robert
Modelling of kinematics is one of the basic task related to walking machines. In this paper, we present the buildingof numerical computational forward and inverse kinematic models of bipedal robotic leg. Models are implementedin Matlab/Simulink/SimMechanics environment. All computations are numerical only, so no analytical model isformed. Advantages and disadvantages of such approach are discussed. The role of this way of modelling in wholedesign and development process is also mentioned.
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Plánování cesty pro čtyřnohého kráčejícího robota použitím rychlých náhodných stromů
Krejsa, Jiří ; Věchet, S.
Summary: 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 walking robots, e.g. limitations in rotation step resolution. Paper describes the RRT method itself and its use for path planning of four-legged walking robot, including special failure case when robot is capable of only rotating in one direction. The method proved to be robust and fast.
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Design of small laboratory quadruped robot
Švehlák, M. ; Grepl, Robert ; Věchet, S. ; Bezdíček, M. ; Chmelíček, J.
In the article is a sum dectripcion of the design of a small quadrupedal walking robot. The aim of the work is to make a physical model for authenticating computational simulation and other problems related with walking robots. The physical model should be noted for simple design, unpretentious production and relatively small financial coast. The physical model is qualified enough to make various experiments. The actuators are concepted in reference to the character of the loading moment.
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