Robotic Control Based On The Human Nervous System
Francisco Maciá Pérez2011, International Journal of Artificial Intelligence & Applications
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Abstract
This article presents a model of robotic control system inspired by the human neuroregulatory system. This model allows the application of functional and organizational principles of biological systems to robotic systems. It also proposes appropriate technologies to implement this proposal, in particular the services. To illustrate the proposal, we implemented a control system for mobile robots in dynamic open environments, demonstrating the viability of both the model and the technologies chosen for implementation.
Key takeaways
- It is therefore necessary to propose innovative approaches to keep decoupled the physical part of the logic in a robot, enabling the rapid and flexible creation of complex robotic systems while maintaining scalability and flexibility for adaptation and maintenance, posibility of interaction of robot with real environments and other robotic systems, and of course, allow robots exhibit intelligent behavior, in other words, a robot that behaves like a human performing the same task [2], all this maintaining a structure and philosophy common to all the elements that form a robotic system regardless of their complexity [3].
- Our model uses these properties to describe the operation of the robot control system like a human nervous system.
- Our proposal is that a robot can be controlled by a set of independent control centers that operate and are organized similarly to the human nervous system, causing many influences on the system and the sum of all these causes a complex emergent behavior.
- The type of robot will change the number of entities involved in the system, but only affects to entities that have contact with the physical devices.
- This model has the advantages of both reactive and deliberative architectures because it is a hybrid system like the human neuroregulatory.
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