/goselo_caffe

Primary LanguagePythonBSD 2-Clause "Simplified" LicenseBSD-2-Clause

goselo_caffe

Python code to try GOSELO.

Asako Kanezaki, Jirou Nitta and Yoko Sasaki. GOSELO: Goal-Directed Obstacle and Self-Location Map for Robot Navigation using Reactive Neural Networks. IEEE Robotics and Automation Letters (RA-L), Vol.3, Issue 2, pp.696-703, 2018. (presented in ICRA'18)

(pdf) (project)

Requirement

Install caffe.
Prepare your Makefile.config and compile.

$ make; make pycaffe

Download

$ wget https://data.airc.aist.go.jp/kanezaki.asako/pretrained_models/goselo_visible.caffemodel
$ wget https://data.airc.aist.go.jp/kanezaki.asako/pretrained_models/goselo_invisible.caffemodel

Demo

$ python demo_navigation_visible.py map_images/default.png

or

$ python demo_navigation_invisible.py map_images/default.png