Anticipatory systems have been shown to be useful in discrete, symbolic systems. However, nonsymbolic anticipatory systems are less well understood. In this paper, we explore the use of anticipation within the framework of connectionist networks to bootstrap from an innate behavior; to drive a reinforcement signal; and to provide feedback on the learnability of a task
October 2010: National Defense Industrial Association (NDIA) SE Conference. “The Body of Knowledge a...
This paper presents the outcome of an engineering study as part of the design and development of a l...
IT security outsourcing is the establishment of a contractual relationship between an organization w...
Anticipatory systems have been shown to be useful in discrete, symbolic systems. However, nonsymbol...
In this article we describe a programming framework called Pyro, which provides a set of abstraction...
The need for changing the control objective during the process has been reported in many systems in ...
The ongoing and increasingly important trend in robotics to conceive designs that decentralize contr...
International audienceIn the context of ELearning, remote handson training has become an insisting n...
Collaborative tasks between human operators and robotic manipulators can improve the performance and...
In this work we study the influence, in the kinematics learning ofsecondary students, of the constru...
This paper proposes the use of artificial neural networks (ANNs) in the framework of a biomechanica...
Nowadays, one of the main topics in robotics research is dynamic performance improvement by means of...
Recent technological advances allow us to measure how the infant brain functions in ways that were n...
The simulation of a robot with a high number of joints can easily become unstable. Numerical errors ...
Large student numbers often drive teaching staff to consider greater degrees of automation of assess...
October 2010: National Defense Industrial Association (NDIA) SE Conference. “The Body of Knowledge a...
This paper presents the outcome of an engineering study as part of the design and development of a l...
IT security outsourcing is the establishment of a contractual relationship between an organization w...
Anticipatory systems have been shown to be useful in discrete, symbolic systems. However, nonsymbol...
In this article we describe a programming framework called Pyro, which provides a set of abstraction...
The need for changing the control objective during the process has been reported in many systems in ...
The ongoing and increasingly important trend in robotics to conceive designs that decentralize contr...
International audienceIn the context of ELearning, remote handson training has become an insisting n...
Collaborative tasks between human operators and robotic manipulators can improve the performance and...
In this work we study the influence, in the kinematics learning ofsecondary students, of the constru...
This paper proposes the use of artificial neural networks (ANNs) in the framework of a biomechanica...
Nowadays, one of the main topics in robotics research is dynamic performance improvement by means of...
Recent technological advances allow us to measure how the infant brain functions in ways that were n...
The simulation of a robot with a high number of joints can easily become unstable. Numerical errors ...
Large student numbers often drive teaching staff to consider greater degrees of automation of assess...
October 2010: National Defense Industrial Association (NDIA) SE Conference. “The Body of Knowledge a...
This paper presents the outcome of an engineering study as part of the design and development of a l...
IT security outsourcing is the establishment of a contractual relationship between an organization w...