Explainable Hierarchical Imitation Learning for Robotic Drink Pouring

Explainable Hierarchical Imitation Learning for Robotic Drink Pouring

16 May 2021

Dongsheng Zhang

Papers citing "Explainable Hierarchical Imitation Learning for Robotic Drink Pouring"

13 / 13 papers shown

Title
RoboCAP: Robotic Classification and Precision Pouring of Diverse Liquids and Granular Media with Capacitive Sensing Yexin Hu Alexandra Gillespie Akhil Padmanabha Kavya Puthuveetil Wesley Lewis Karan Khokar Zackory M. Erickson 39 0 0 13 May 2024
Surgical Gesture Recognition Based on Bidirectional Multi-Layer Independently RNN with Explainable Spatial Feature Extraction Dandan Zhang Ruoxi Wang Benny Lo 28 12 0 02 May 2021
Trust Considerations for Explainable Robots: A Human Factors Perspective Lindsay M. Sanneman J. Shah 17 12 0 12 May 2020
Deep Imitation Learning for Autonomous Driving in Generic Urban Scenarios with Enhanced Safety Jianyu Chen Bodi Yuan Masayoshi Tomizuka 20 133 0 02 Mar 2019
Enhancing Explainability of Neural Networks through Architecture Constraints Zebin Yang Aijun Zhang Agus Sudjianto AAML 30 87 0 12 Jan 2019
Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation Tianhao Zhang Zoe McCarthy Owen Jow Dennis Lee Xi Chen Ken Goldberg Pieter Abbeel SSL 69 653 0 12 Oct 2017
Neural Task Programming: Learning to Generalize Across Hierarchical Tasks Danfei Xu Suraj Nair Yuke Zhu J. Gao Animesh Garg Li Fei-Fei Silvio Savarese 52 195 0 04 Oct 2017
Visual Closed-Loop Control for Pouring Liquids Connor Schenck Dieter Fox 54 106 0 09 Oct 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 227 19,796 0 07 Oct 2016
Feedback Motion Planning for Liquid Transfer using Supervised Learning Zherong Pan Tianyi Zhou 21 15 0 12 Sep 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.6K 192,638 0 10 Dec 2015
End-to-End Training of Deep Visuomotor Policies Sergey Levine Chelsea Finn Trevor Darrell Pieter Abbeel BDL 249 3,418 0 02 Apr 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.1K 149,474 0 22 Dec 2014