IEEE - Institute of Electrical and Electronics Engineers, Inc. - Socially Compliant Navigation Through Raw Depth Inputs with Generative Adversarial Imitation Learning

2018 IEEE International Conference on Robotics and Automation (ICRA)

Author(s): Lei Tai ; Jingwei Zhang ; Ming Liu ; Wolfram Burgard
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 May 2018
Conference Location: Brisbane, QLD, Australia
Conference Date: 21 May 2018
Page(s): 1,111 - 1,117
ISBN (Electronic): 978-1-5386-3081-5
ISBN (USB): 978-1-5386-3080-8
ISSN (Electronic): 2577-087X
DOI: 10.1109/ICRA.2018.8460968
Regular:

We present an approach for mobile robots to learn to navigate in dynamic environments with pedestrians via raw depth inputs, in a socially compliant manner. To achieve this, we adopt a generative... View More

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