Catálogo de publicaciones - libros

The problem of consciousness has been divided by philosophers into the problem of Access Consciousness and the problem of Phenomenal Consciousness or "raw feel". In this chapter it is suggested that Access Consciousness is something that we can logically envisage building into a robot because it is a cognitive capacity giving rise to behaviors or behavioral tendencies or potentials. A few examples are given of how this is being done in current research. On the other hand, Phenomenal Consciousness or "raw feel" is problematic, since we do not know what we really mean by "feel". It is suggested that three main properties are what characterize feel: the fact that feels are different from each other, that there is structure in these differences, and that feels have sensory presence. It is then shown how, by taking the sensorimotor approach it is possible to account for these properties in a natural way and furthermore to make counter-intuitive empirical predictions which have recently been confirmed. In conclusion it is claimed that when we take the sensorimotor approach to feel, building raw feel into a robot becomes a theoretical possibility, even if we are a long way from actually attaining it.

“Without embodiment artificial intelligence is nothing.” Algorithms in the field of artificial intelligence are mostly tested on a computer instead of testing on a real platform. Our anthropomorphic robot ZAR5 (in German Zwei-Arm-Roboter in the 5 version) is the first biologically inspired and completely artificial muscle driven robot torso that can be fully controlled by a data suit and two five finger data gloves. The underlying biological principles of sensor technology, signal processing, control architecture und actuator technology of our robot platform meet the requirements of biological based technical realization and support a distributed programming and control as well as an online self-adaptation and relearning processing. The following elaboration focuses on biological inspiration for the embodiment of artificial intelligence, gives a short insight into technical realisation of a humanoid robot, which is of high importance in this context, and accentuates highlights relating to a possible paradigm shift in artificial intelligence.

This paper describes a multi-disciplinary initiative to promote collaborative research in enactive artificial cognitive systems by developing the : a open-systems 53 degree-of-freedom cognitive humanoid robot. At 94 cm tall, the is the same size as a three year-old child. It will be able to crawl on all fours and sit up, its hands will allow dexterous manipulation, and its head and eyes are fully articulated. It has visual, vestibular, auditory, and haptic sensory capabilities. As an open system, the design and documentation of all hardware and software is licensed under the Free Software Foundation GNU licences so that the system can be freely replicated and customized. We begin this paper by outlining the enactive approach to cognition, drawing out the implications for phylogenetic configuration, the necessity for ontogenetic development, and the importance of humanoid embodiment. This is followed by a short discussion of our motivation for adopting an open-systems approach. We proceed to describe the mechanical and electronic specifications, its software architecture, its cognitive architecture. We conclude by discussing the phylogeny, the robot’s intended innate abilities, and an scenario for ontogenesis based on human neo-natal development.

This paper describes how industrial applications were targeted and successfully implemented by robotic manipulators that have been developed from studies in embodied artificial intelligent systems. The goal was to design mobile, flexible and self-learning manipulators that allow to perform multiple tasks with very short preparation time, a reasonable working speed and, at the same time, in a human-like manner. The advantages and disadvantages of these solutions compared to traditional industrial robot applications had to be considered continuously to concentrate on the right market segments, applications and customers. Thus, in addition to develop the appropriate requirements of real-time executions, risk analyses and usability, studies were established and implemented in collaboration with scientists, integrators and end customers. Acceptance, impacts of the revolution in personal intelligent robotics as well as challenges to overcome in the future are discussed.

This paper discusses the relevance of embedding dramatic scenarios and expressive language into methodologies employed in the research and development of biochemical and/or electronic sentient beings. The author demonstrates how integrating imagined modalities into current practices can afford a profound and positive effect on outcomes.