Prediction of Student Attrition Using Machine Learning

Aguilar González, Sarahí; Palafox Novack, Leon Felipe

doi:10.1007/978-3-030-33749-0_18

Prediction of Student Attrition Using Machine Learning

Journal

Advances in Soft Computing

Lecture Notes in Computer Science

ISSN

0302-9743

1611-3349

Date Issued

2019

Author(s)

Aguilar González, Sarahí

Facultad de Ingeniería - CampCM

Palafox Novack, Leon Felipe

Facultad de Ingeniería - CampCM

Type

text::book::book part

DOI

10.1007/978-3-030-33749-0_18

URL

https://scripta.up.edu.mx/handle/20.500.12552/4169

Abstract

Bio-inspired robots have chosen to propose novel developments aiming to inhabit and interact complex and dynamic environments. Bio-inspired four-legged robots, typically inspired on animal locomotion, provide advantages on mobility, obstacle avoidance, energy efficiency and others. Balancing is a major challenge when legged robots require to move over uncertain and sharp terrains. It becomes of particular importance to solve other locomotion tasks such as walking, running or jumping. In this paper, we present a preliminary study on the modeling and control balance design of a bio-inspired four-legged robot for standing on its aligned legs in a straight line. The proposed robot is loosely inspired on the bio-mechanics of the chameleon. Thus, a mathematical modeling, simulation, intelligent control strategy, prototype implementation and preliminary results of control balance in our robot are presented and discussed. © Springer Nature Switzerland AG 2019.