... moment of its development. This mechanism is called Intelligent Adaptive Curiosity (IAC): i... more ... moment of its development. This mechanism is called Intelligent Adaptive Curiosity (IAC): it is a drive in the same sense than food level maintenance or heat maintenance are drives, but it is much more complex. Instead of being ...
This chapter presents a generic internal reward system that drives an agent to increase the compl... more This chapter presents a generic internal reward system that drives an agent to increase the complexity of its behavior. This reward system does not reinforce a predefined task. Its purpose is to drive the agent to progress in learning given its embodiment and the environment in which it is placed. The dynamics created by such a system are studied first in a simple environment and then in the context of active vision.
Abstract. In this paper we want to propose the idea that some techniques used for animal training... more Abstract. In this paper we want to propose the idea that some techniques used for animal training might be helpful for solving human robot interaction problems in the context of entertainment robotics. We present a model for teaching complex actions to an animallike autonomous robot based on” clicker training”, a method used efficiently by professional trainers for animals of different species. After describing our implementation of clicker training on an enhanced version of AIBO, Sony's four-legged robot, we argue that this new ...
Children seem intrinsically motivated to manipulate, to explore, to test, to learn and they look ... more Children seem intrinsically motivated to manipulate, to explore, to test, to learn and they look for activities and situations that provide such learning opportunities. Inspired by research in developmental psychology and neuroscience, some researchers have started to address the problem of designing intrinsic motivation systems. A robot controlled by such systems is able to autonomously explore its environment not to fulfil predefined tasks but driven by an incentive to search for situations where learning happens efficiently. In this paper, we present the origins of these intrinsically motivated machines, our own research in this novel field and we argue that intrinsic motivation might be a crucial step towards machines capable of life-long learning and open-ended development.
What kind of motivation drives child language development? This article presents a computational ... more What kind of motivation drives child language development? This article presents a computational model and a robotic experiment to articulate the hypothesis that children discover communication as a result of exploring and playing with their environment. The considered robotic agent is intrinsically motivated towards situations in which it optimally progresses in learning. To experience optimal learning progress, it must avoid situations already familiar but also situations where nothing can be learned. The robot is placed in an environment in which both communicating and non-communicating objects are present. As a consequence of its intrinsic motivation, the robot explores this environment in an organized manner focussing first on non-communicative activities and then discovering the learning potential of certain types of interactive behavior. In this experiment, the agent ends up being interested by communication through vocal interactions without having a specific drive for communication.
In this paper, we want to propose the idea that some techniques used for animal training might be... more In this paper, we want to propose the idea that some techniques used for animal training might be helpful for solving human–robot interaction problems in the context of entertainment robotics. We present a model for teaching complex actions to an animal-like autonomous robot based on “clicker training”, a method used efficiently by professional trainers for animals of different species. After describing our implementation of clicker training on an enhanced version of AIBO, Sony’s four-legged robot, we argue that this new method can be a promising technique for teaching unusual behavior and sequences of actions to a pet robot.
We developed three interfaces to allow non-expert users to teach name for new visual objects and ... more We developed three interfaces to allow non-expert users to teach name for new visual objects and compare them through user's studies in term of learning efficiency.
... moment of its development. This mechanism is called Intelligent Adaptive Curiosity (IAC): i... more ... moment of its development. This mechanism is called Intelligent Adaptive Curiosity (IAC): it is a drive in the same sense than food level maintenance or heat maintenance are drives, but it is much more complex. Instead of being ...
This chapter presents a generic internal reward system that drives an agent to increase the compl... more This chapter presents a generic internal reward system that drives an agent to increase the complexity of its behavior. This reward system does not reinforce a predefined task. Its purpose is to drive the agent to progress in learning given its embodiment and the environment in which it is placed. The dynamics created by such a system are studied first in a simple environment and then in the context of active vision.
Abstract. In this paper we want to propose the idea that some techniques used for animal training... more Abstract. In this paper we want to propose the idea that some techniques used for animal training might be helpful for solving human robot interaction problems in the context of entertainment robotics. We present a model for teaching complex actions to an animallike autonomous robot based on” clicker training”, a method used efficiently by professional trainers for animals of different species. After describing our implementation of clicker training on an enhanced version of AIBO, Sony's four-legged robot, we argue that this new ...
Children seem intrinsically motivated to manipulate, to explore, to test, to learn and they look ... more Children seem intrinsically motivated to manipulate, to explore, to test, to learn and they look for activities and situations that provide such learning opportunities. Inspired by research in developmental psychology and neuroscience, some researchers have started to address the problem of designing intrinsic motivation systems. A robot controlled by such systems is able to autonomously explore its environment not to fulfil predefined tasks but driven by an incentive to search for situations where learning happens efficiently. In this paper, we present the origins of these intrinsically motivated machines, our own research in this novel field and we argue that intrinsic motivation might be a crucial step towards machines capable of life-long learning and open-ended development.
What kind of motivation drives child language development? This article presents a computational ... more What kind of motivation drives child language development? This article presents a computational model and a robotic experiment to articulate the hypothesis that children discover communication as a result of exploring and playing with their environment. The considered robotic agent is intrinsically motivated towards situations in which it optimally progresses in learning. To experience optimal learning progress, it must avoid situations already familiar but also situations where nothing can be learned. The robot is placed in an environment in which both communicating and non-communicating objects are present. As a consequence of its intrinsic motivation, the robot explores this environment in an organized manner focussing first on non-communicative activities and then discovering the learning potential of certain types of interactive behavior. In this experiment, the agent ends up being interested by communication through vocal interactions without having a specific drive for communication.
In this paper, we want to propose the idea that some techniques used for animal training might be... more In this paper, we want to propose the idea that some techniques used for animal training might be helpful for solving human–robot interaction problems in the context of entertainment robotics. We present a model for teaching complex actions to an animal-like autonomous robot based on “clicker training”, a method used efficiently by professional trainers for animals of different species. After describing our implementation of clicker training on an enhanced version of AIBO, Sony’s four-legged robot, we argue that this new method can be a promising technique for teaching unusual behavior and sequences of actions to a pet robot.
We developed three interfaces to allow non-expert users to teach name for new visual objects and ... more We developed three interfaces to allow non-expert users to teach name for new visual objects and compare them through user's studies in term of learning efficiency.
Human vocalization systems are characterized by complex structural properties. They are combinato... more Human vocalization systems are characterized by complex structural properties. They are combinatorial, based on the systematic reuse of phonemes, and the set of repertoires in human languages is characterized by both strong statistical regularities – universals—and a great diversity. Besides, they are conventional codes culturally shared in each community of speakers. What is the origins of the forms of speech? What are the mechanisms that permitted their evolution in the course of phylogenesis and cultural evolution? How can a shared speech code be formed in a community of individuals?
Human vocalization systems are characterized by complex structural properties. They are combinato... more Human vocalization systems are characterized by complex structural properties. They are combinatorial, based on the systematic reuse of phonemes, and the set of repertoires in human languages is characterized by both strong statistical regularities – universals—and a great diversity. Besides, they are conventional codes culturally shared in each community of speakers. What is the origins of the forms of speech? What are the mechanisms that permitted their evolution in the course of phylogenesis and cultural evolution? How can a shared speech code be formed in a community of individuals?
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