Synthetically Trained Neural Networks for Learning Human-Readable Plans from Real-World Demonstrations

18 May 2018

Papers citing "Synthetically Trained Neural Networks for Learning Human-Readable Plans from Real-World Demonstrations"

8 / 8 papers shown

Title
Programmatic Imitation Learning from Unlabeled and Noisy Demonstrations Jimmy Xin Linus Zheng Kia Rahmani Jiayi Wei Jarrett Holtz Işıl Dillig Joydeep Biswas 30 1 0 02 Mar 2023
You Only Demonstrate Once: Category-Level Manipulation from Single Visual Demonstration Bowen Wen Wenzhao Lian Kostas Bekris S. Schaal 24 90 0 30 Jan 2022
Indirect Object-to-Robot Pose Estimation from an External Monocular RGB Camera Jonathan Tremblay Stephen Tyree Terry Mosier Stan Birchfield 34 22 0 26 Aug 2020
Camera-to-Robot Pose Estimation from a Single Image Timothy E. Lee Jonathan Tremblay Thang To Jia Cheng Terry Mosier Oliver Kroemer Dieter Fox Stan Birchfield 33 93 0 21 Nov 2019
Prospection: Interpretable Plans From Language By Predicting the Future Chris Paxton Yonatan Bisk Jesse Thomason Arunkumar Byravan Dieter Fox LM&Ro 26 47 0 20 Mar 2019
Sim-to-(Multi)-Real: Transfer of Low-Level Robust Control Policies to Multiple Quadrotors Artem Molchanov Tao Chen Wolfgang Hönig James A. Preiss Nora Ayanian Gaurav Sukhatme 24 107 0 11 Mar 2019
Semantic Mapping with Simultaneous Object Detection and Localization Zhen Zeng Yunwen Zhou Odest Chadwicke Jenkins Karthik Desingh 3DPC 29 28 0 26 Oct 2018
Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task Stephen James Andrew J. Davison Edward Johns 162 275 0 07 Jul 2017