TY  - JOUR
T1  - Review of Intelligent Robotics Algorithms for Assistive Agents
AU - Velandia Ruben D. Hernandez Beleno, Natalie Segura AU - Jimenez Moreno, Robinson 
JO  - Research Journal of Applied Sciences
VL  - 13
IS  - 11
SP  - 663
EP  - 674
PY  - 2018
DA  - 2001/08/19
SN  - 1815-932x
DO  - rjasci.2018.663.674
UR  - https://makhillpublications.co/view-article.php?doi=rjasci.2018.663.674
KW  - Neural networks
KW  -deep learning
KW  -fuzzy logic
KW  -autonomous vehicles
KW  -artificial intelligence
KW  -robotic
agents
AB  - In this study it is present a review of artificial intelligence algorithms applied to robotic agents,
emphasizing learning from Convolutional Neural Networks (CNN). For the construction of this review, a
bibliographical research was carried out in the databases of scientific articles, research journals and
technological advances where the most important works are described which implement different methods in
a variety applications such as autonomous vehicles, robots for space exploration and robotic manipulators in
the planning of trajectories making use of CNN. Artificial Intelligence (AI) is defined as the technique in which
there are developed algorithms capable of reasoning, learning and making decisions based on experience. This
technique has achieved its interaction with robotic agents getting to create what is now known as intelligent
robots, capable of solving and performing multiple tasks of daily life but like all developing science it is still
possible to optimize and improve their algorithms to achieve human precision, referred to the manner and
efficiency with which a human develops different types of activities. As a result, some of the applications that
are available to people will be presented in order to highlight the extent to which this synergy of technologies
has reached its development.
ER  -