3.8 Proceedings Paper

Distributed Artificial Intelligence as a Means to Achieve Self-X-Functions for Increasing Resilience: the First Steps

Publisher

IEEE
DOI: 10.1109/MECO55406.2022.9797193

Keywords

distributed control; continuum robots; Distributed Artificial Intelligence (DAI); resilience

Ask authors/readers for more resources

This paper discusses the use of sensors and Artificial Intelligence to achieve self-adaptive, autonomous and resilient systems. Investigating the combination of Distributed Artificial Intelligence methods and bio-inspired robotics can provide helpful results for implementing autonomy.
Using sensors as a means to achieve self-awareness and Artificial Intelligence for decision-making, may be a way to make complex systems self-adaptive, autonomous and resilient. Investigating the combination of Distributed Artificial Intelligence methods and bio-inspired robotics can provide results that will be helpful for implementing autonomy of such robots and other complex systems. In this paper, we describe Distributed Artificial Intelligence application area, the most common examples of continuum robots and provide a description of our first steps towards implementing distributed control.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

3.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available