Analysis of Social Robotic Navigation approaches: CNN Encoder and Incremental Learning as an alternative to Deep Reinforcement Learning

no code implementations • 18 Aug 2020 • Janderson Ferreira, Agostinho A. F. Júnior, Letícia Castro, Yves M. Galvão, Pablo Barros, Bruno J. T. Fernandes

Dealing with social tasks in robotic scenarios is difficult, as having humans in the learning loop is incompatible with most of the state-of-the-art machine learning algorithms.

Active Learning BIG-bench Machine Learning +4

Performance Improvement of Path Planning algorithms with Deep Learning Encoder Model

no code implementations • 5 Aug 2020 • Janderson Ferreira, Agostinho A. F. Júnior, Yves M. Galvão, Pablo Barros, Sergio Murilo Maciel Fernandes, Bruno J. T. Fernandes

Their proposed model, the CNN Encoder, associated to other existent path planning algorithms in the literature, was able to obtain a time decrease to find the shortest path in comparison to all path planning algorithms analyzed.

Dimensionality Reduction Navigate

CNN Encoder to Reduce the Dimensionality of Data Image for Motion Planning

no code implementations • 10 Apr 2020 • Janderson Ferreira, Agostinho A. F. Júnior, Yves M. Galvão, Bruno J. T. Fernandes, Pablo Barros

In this work, we propose a CNN encoder capable of eliminating useless routes for motion planning problems, then we combine the proposed neural network output with A*.

Motion Planning