Teaching simulated biped robots to walk is a popular problem in machine learning. However, until this thesis, evolving a biped controller has not been attempted through an indirect encoding, i.e. a compressed representation of the solution, despite the fact that natural bipeds such as humans evolved through such an indirect encoding (i.e. DNA). Thus the promise for indirect encoding is to evolve gaits that rival those seen in nature. In this thesis, an indirect encoding called HyperNEAT evolves a controller for a biped robot in a computer simulation. To most effectively explore the deceptive behavior space of biped walkers, novelty search is applied as a fitness metric. The result is that although the indirect encoding can evolve a stable b...
In this paper, we introduce a framework for learning biped locomotion using dynamical movement primi...
This paper presents the results of experiments in applying a spiking neural network to control the l...
The objective of this paper is to develop feasible gait patterns that could be used to control a rea...
Bipedalism is theorised to have emerged in humans in order to enable endurance running and tool use ...
We describe an evolutionary approach to the control problem of bipedal walking. Using a full rigid-b...
Summary. One of the most popular approaches to developing bipedal walking machines has been to recor...
Numerous algorithms have been proposed to allow legged robots to learn to walk.However, most of thes...
Numerous algorithms have been proposed to allow legged robots to learn to walk. However, the vast ma...
Abstract-This paper shows how Genetic Programming can be applied to the task of evolving the neural ...
We reach walking optimality from a very early age by using natural supports, which can be the hands ...
We reach walking optimality from a very early age by using natural supports, which can be the hands ...
One of the most popular approaches to developing bipedal walking machines has been to record the hum...
Humans demonstrate speed, efficiency, and adaptability when traveling over rugged terrain. Bipedal r...
Research activity into developing bipedal humanoid robots has recently been on the increase. Humanoi...
International audienceThe evolvability of a system is the ability to generate heritable, novel and n...
In this paper, we introduce a framework for learning biped locomotion using dynamical movement primi...
This paper presents the results of experiments in applying a spiking neural network to control the l...
The objective of this paper is to develop feasible gait patterns that could be used to control a rea...
Bipedalism is theorised to have emerged in humans in order to enable endurance running and tool use ...
We describe an evolutionary approach to the control problem of bipedal walking. Using a full rigid-b...
Summary. One of the most popular approaches to developing bipedal walking machines has been to recor...
Numerous algorithms have been proposed to allow legged robots to learn to walk.However, most of thes...
Numerous algorithms have been proposed to allow legged robots to learn to walk. However, the vast ma...
Abstract-This paper shows how Genetic Programming can be applied to the task of evolving the neural ...
We reach walking optimality from a very early age by using natural supports, which can be the hands ...
We reach walking optimality from a very early age by using natural supports, which can be the hands ...
One of the most popular approaches to developing bipedal walking machines has been to record the hum...
Humans demonstrate speed, efficiency, and adaptability when traveling over rugged terrain. Bipedal r...
Research activity into developing bipedal humanoid robots has recently been on the increase. Humanoi...
International audienceThe evolvability of a system is the ability to generate heritable, novel and n...
In this paper, we introduce a framework for learning biped locomotion using dynamical movement primi...
This paper presents the results of experiments in applying a spiking neural network to control the l...
The objective of this paper is to develop feasible gait patterns that could be used to control a rea...