Add to ORKGIn this paper an evolutionary algorithm is used for evolving gaits in a walking biped robot controller. The focus is fast learning in a real-time environment. An incremental approach combining a genetic algorithm (GA) with hill climbing is proposed. This combination interacts in an efficient way to generate precise walking patterns in less than 15 generations. Our proposal is compared to various versions of GA and stochastic search, and finally tested on a pneumatic biped walking robot
Numerous algorithms have been proposed to allow legged robots to learn to walk. However, the vast ma...
Abstract This paper describes our studies in the legged robots research area and the development of...
It is a difficult task to generate optimal walking gaits for mobile legged robots. Generating and co...
In the design and development of a legged robot, many factors need to be considered. As a consequenc...
Generating biped locomotion in robotic platforms is hard. It has to deal with the complexity of the ...
This paper describes the staged evolution of a complex motor pattern generator (CPG) for the control...
It has been shown that the use of Cyclic Genetic Algorithms can be an effective means of gait genera...
In this thesis, the problems of generating and optimizing motor behaviors for both simulated and rea...
As a contribution toward the objective of developing useful walking machines, this dissertation cons...
We describe an evolutionary approach to the control problem of bipedal walking. Using a full rigid-b...
Abstract. This paper describes our studies in the legged robots re-search area and the development o...
Numerous algorithms have been proposed to allow legged robots to learn to walk.However, most of thes...
This paper introduces a Genetic Programming approach to creating patterns of movements for legs of w...
This paper proposes a dynamically stable and optimal trajectory generation method for biped robots t...
Abstract. Here we introduce a method for the evolution of dynamic gaits on a physical robot requirin...
Numerous algorithms have been proposed to allow legged robots to learn to walk. However, the vast ma...
Abstract This paper describes our studies in the legged robots research area and the development of...
It is a difficult task to generate optimal walking gaits for mobile legged robots. Generating and co...
In the design and development of a legged robot, many factors need to be considered. As a consequenc...
Generating biped locomotion in robotic platforms is hard. It has to deal with the complexity of the ...
This paper describes the staged evolution of a complex motor pattern generator (CPG) for the control...
It has been shown that the use of Cyclic Genetic Algorithms can be an effective means of gait genera...
In this thesis, the problems of generating and optimizing motor behaviors for both simulated and rea...
As a contribution toward the objective of developing useful walking machines, this dissertation cons...
We describe an evolutionary approach to the control problem of bipedal walking. Using a full rigid-b...
Abstract. This paper describes our studies in the legged robots re-search area and the development o...
Numerous algorithms have been proposed to allow legged robots to learn to walk.However, most of thes...
This paper introduces a Genetic Programming approach to creating patterns of movements for legs of w...
This paper proposes a dynamically stable and optimal trajectory generation method for biped robots t...
Abstract. Here we introduce a method for the evolution of dynamic gaits on a physical robot requirin...
Numerous algorithms have been proposed to allow legged robots to learn to walk. However, the vast ma...
Abstract This paper describes our studies in the legged robots research area and the development of...
It is a difficult task to generate optimal walking gaits for mobile legged robots. Generating and co...