2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.RO2019
Graduated Fidelity Lattices for Motion Planning under Uncertainty
Adrián González-Sieira, Manuel Mucientes, Alberto Bugarín
We present a novel approach for motion planning in mobile robotics under sensing and motion uncertainty based on state lattices with graduated fidelity. The probability of collisio…
cs.AI2016
Fuzzy Sets Across the Natural Language Generation Pipeline
A. Ramos-Soto, A. Bugarín, S. Barro
We explore the implications of using fuzzy techniques (mainly those commonly used in the linguistic description/summarization of data discipline) from a natural language generation…
cs.LG2015★ 2 cited
FRULER: Fuzzy Rule Learning through Evolution for Regression
I. Rodríguez-Fdez, M. Mucientes, A. Bugarín
In regression problems, the use of TSK fuzzy systems is widely extended due to the precision of the obtained models. Moreover, the use of simple linear TSK models is a good choice…