Add to ORKGDifferent strategies have been adopted for the optimization of legged robots, either during their design and construction phases, or during their operation. Evolutionary strategies are a way to "imitate nature" replicating the process that nature designed for the generation and evolution of species. This paper presents a genetic algorithm, running over a simulation application of legged robots, allowing the optimization of several locomotion, model and controller parameters, for different locomotion speeds and hexapod periodic gaits. Here are studied the model and locomotion parameters that optimize the robot performance, in a large range of distinct velocities, when the robot walks with distinct periodic gaits.N/
Abstract. This paper describes our studies in the legged robots re-search area and the development o...
In this thesis, the problems of generating and optimizing motor behaviors for both simulated and rea...
In this thesis, the problems of generating and optimizing motor behaviors for both simulated and rea...
Different strategies have been adopted for the optimization of legged robots, either during their de...
Legged robots allow the locomotion on terrains inaccessible to other type of vehicles because they d...
Legged robots allow the locomotion on terrains inaccessible to other type of vehicles because they d...
In the design and development of a legged robot, many factors need to be considered. As a consequenc...
This paper describes the staged evolution of a complex motor pattern generator (CPG) for the control...
Abstract This paper describes our studies in the legged robots research area and the development of...
It has been shown that the use of Cyclic Genetic Algorithms can be an effective means of gait genera...
It is a difficult task to generate optimal walking gaits for mobile legged robots. Generating and co...
This article describes the development of a gait optimization system that allows a fast but stable ...
The scope of the paper is to develop a methodology for finding optimal gaits of a quadruped robot us...
The objective of this paper is to develop feasible gait patterns that could be used to control a rea...
Over the last two decades the research and development of legged locomotion robots has grown steadil...
Abstract. This paper describes our studies in the legged robots re-search area and the development o...
In this thesis, the problems of generating and optimizing motor behaviors for both simulated and rea...
In this thesis, the problems of generating and optimizing motor behaviors for both simulated and rea...
Different strategies have been adopted for the optimization of legged robots, either during their de...
Legged robots allow the locomotion on terrains inaccessible to other type of vehicles because they d...
Legged robots allow the locomotion on terrains inaccessible to other type of vehicles because they d...
In the design and development of a legged robot, many factors need to be considered. As a consequenc...
This paper describes the staged evolution of a complex motor pattern generator (CPG) for the control...
Abstract This paper describes our studies in the legged robots research area and the development of...
It has been shown that the use of Cyclic Genetic Algorithms can be an effective means of gait genera...
It is a difficult task to generate optimal walking gaits for mobile legged robots. Generating and co...
This article describes the development of a gait optimization system that allows a fast but stable ...
The scope of the paper is to develop a methodology for finding optimal gaits of a quadruped robot us...
The objective of this paper is to develop feasible gait patterns that could be used to control a rea...
Over the last two decades the research and development of legged locomotion robots has grown steadil...
Abstract. This paper describes our studies in the legged robots re-search area and the development o...
In this thesis, the problems of generating and optimizing motor behaviors for both simulated and rea...
In this thesis, the problems of generating and optimizing motor behaviors for both simulated and rea...