To Go or Not To Go? A Near Unsupervised Learning Approach For Robot Navigation

16 September 2017

Silvio Savarese

Papers citing "To Go or Not To Go? A Near Unsupervised Learning Approach For Robot Navigation"

4 / 4 papers shown

Title
Learning Robotic Navigation from Experience: Principles, Methods, and Recent Results Sergey Levine Dhruv Shah SSL 49 21 0 13 Dec 2022
A Survey of Traversability Estimation for Mobile Robots Christos Sevastopoulos S. Konstantopoulos 46 34 0 22 Apr 2022
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs Yogesh Balaji Hamed Hassani Rama Chellappa S. Feizi GAN DRL 41 20 0 09 Oct 2018
Path Planning in Support of Smart Mobility Applications using Generative Adversarial Networks M. Mohammadi Ala I. Al-Fuqaha Jun-Seok Oh GAN 13 23 0 23 Apr 2018