Robots as Powerful Allies for the Study of Embodied Cognition from the Bottom Up

@article{Hoffmann2018RobotsAP,
  title={Robots as Powerful Allies for the Study of Embodied Cognition from the Bottom Up},
  author={Matej Hoffmann and Rolf Pfeifer},
  journal={ArXiv},
  year={2018},
  volume={abs/1801.04819}
}
A large body of compelling evidence has been accumulated demonstrating that embodiment - the agent's physical setup, including its shape, materials, sensors and actuators - is constitutive for any form of cognition and as a consequence, models of cognition need to be embodied. [...] Key Method We present a robotic bottom-up or developmental approach, focusing on three stages: (a) low-level behaviors like walking and reflexes, (b) learning regularities in sensorimotor spaces, and (c) human-like cognition. We…Expand
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References

SHOWING 1-10 OF 88 REFERENCES
The implications of embodiment for behavior and cognition: animal and robotic case studies
In this paper, we will argue that if we want to understand the function of the brain (or the control in the case of robots), we must understand how the brain is embedded into the physical system, and
Cognition from the bottom up: on biological inspiration, body morphology, and soft materials
TLDR
It is argued that the authors need to build their understanding of cognition from the bottom up; that is, all the way from how their body is physically constructed, to include soft materials and body morphology in the big picture.
Body Schema in Robotics: A Review
TLDR
The body representations in biology is surveyed from a functional or computational perspective to set ground for a review of the concept of body schema in robotics and identifies trends in these research areas and proposes future research directions.
Bootstrapping Perception using Information Theory: Case Studies in a quadruped Robot Running on Different grounds
TLDR
It is shown how the analysis of directed information flows in an agent's sensorimotor networks can be used to bootstrap its perception and development.
A discrete computational model of sensorimotor contingencies for object perception and control of behavior
  • A. Maye, A. Engel
  • Computer Science
    2011 IEEE International Conference on Robotics and Automation
  • 2011
TLDR
The first results of a modeling study elucidating computational mechanisms implied by adopting SCT for robot control are presented, and the role of memory, behavior, and value systems with respect to SCT as a cognitive control architecture are discussed.
The Mechanics of Embodiment: A Dialog on Embodiment and Computational Modeling
TLDR
Six authors from varying backgrounds and approaches address issues concerning the construction of embodied computational models, and illustrate what they view as the critical current and next steps toward mechanistic theories of embodiment.
Towards a Cognitive Robotics
TLDR
The strategy will be to argue from within a general framework that accepts many of the basic premises of the work (in new robotics and in dynamical systems theory) that motivates such scepticism in the first place.
The iCub humanoid robot: An open-systems platform for research in cognitive development
TLDR
The iCub is described, which was designed to support collaborative research in cognitive development through autonomous exploration and social interaction and which has attracted a growing community of users and developers.
Musculoskeletal Robots: Scalability in Neural Control
TLDR
The proof of principle of a system that can scale to dozens of neurally controlled, physically compliant joints and implements a closed-loop cerebellar model that provides real-time, low-level, neural control at minimal power consumption and maximal extensibility is presented.
A Dynamical Systems Account of Sensorimotor Contingencies
TLDR
This paper examines the idea of SMCs and argues that its use involves notions that need to be distinguished, which are the notions of sensorimotor environment, habitat, coordination, and strategy which are defined operationally.
...
1
2
3
4
5
...