From Perception to Decision: A Data-driven Approach to End-to-end Motion
Planning for Autonomous Ground Robots

From Perception to Decision: A Data-driven Approach to End-to-end Motion Planning for Autonomous Ground Robots

26 September 2016

Michaela Schaeuble

Roland Siegwart

Papers citing "From Perception to Decision: A Data-driven Approach to End-to-end Motion Planning for Autonomous Ground Robots"

9 / 59 papers shown

Title
Learning Navigation Behaviors End-to-End with AutoRL H. Chiang Aleksandra Faust Marek Fiser Anthony G. Francis 8 234 0 26 Sep 2018
Hierarchical Reinforcement Learning Framework towards Multi-agent Navigation Wenhao Ding Shuaijun Li Huihuan Qian 24 32 0 14 Jul 2018
Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Map-less Navigation by Leveraging Prior Demonstrations Mark Pfeiffer Samarth Shukla M. Turchetta Cesar Cadena Andreas Krause Roland Siegwart Juan I. Nieto 24 157 0 18 May 2018
Person Following by Autonomous Robots: A Categorical Overview M. Islam Jungseok Hong Junaed Sattar 24 121 0 22 Mar 2018
DeepMoTIon: Learning to Navigate Like Humans Mahmoud Hamandi Mike DÁrcy Pooyan Fazli 12 23 0 09 Mar 2018
Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation Wei Gao David Hsu Wee Sun Lee Shengmei Shen K. Subramanian 18 116 0 16 Oct 2017
Learning to Roam Free from Small-Space Autonomous Driving with A Path Planner Sascha Hornauer K. Zipser Stella X. Yu 18 0 0 29 Sep 2017
To Go or Not To Go? A Near Unsupervised Learning Approach For Robot Navigation Noriaki Hirose Amir Sadeghian P. Goebel Silvio Savarese GAN 24 20 0 16 Sep 2017
Learning Generalized Reactive Policies using Deep Neural Networks E. Groshev Maxwell Goldstein Aviv Tamar Siddharth Srivastava Pieter Abbeel 11 119 0 24 Aug 2017