Driving Mobile Robots using a Deep LSTM Architecture: An Experimental Approach
Driving Mobile Robots using a Deep LSTM Architecture: An Experimental Approach
Carla Koike
2020
0 Citations
TLDR
This work presents a new proposal model using a deep Long-Short Term Memory (LSTM) architecture to assist the driving activities in mobile robots, using as a main source, learning extracted from an expert pilot.
