Interpretability in Contact-Rich Manipulation via Kinodynamic Images

23 February 2021

Danica Kragic

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Papers citing "Interpretability in Contact-Rich Manipulation via Kinodynamic Images"

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Title
Designing Environments Conducive to Interpretable Robot Behavior Anagha Kulkarni S. Sreedharan Sarah Keren Tathagata Chakraborti David E. Smith S. Kambhampati 54 18 0 02 Jul 2020
Use the Force, Luke! Learning to Predict Physical Forces by Simulating Effects Kiana Ehsani Shubham Tulsiani Saurabh Gupta Ali Farhadi Abhinav Gupta 78 53 0 26 Mar 2020
Modelling and Learning Dynamics for Robotic Food-Cutting Ioanna Mitsioni Y. Karayiannidis Danica Kragic 50 8 0 20 Mar 2020
Deep Dynamics Models for Learning Dexterous Manipulation Anusha Nagabandi K. Konolige Sergey Levine Vikash Kumar 222 417 0 25 Sep 2019
Disentangled Relational Representations for Explaining and Learning from Demonstration Yordan V. Hristov Daniel Angelov Michael G. Burke A. Lascarides S. Ramamoorthy DRL 56 25 0 31 Jul 2019
Dot-to-Dot: Explainable Hierarchical Reinforcement Learning for Robotic Manipulation Benjamin Beyret A. Shafti A. Faisal 134 74 0 14 Apr 2019
Prospection: Interpretable Plans From Language By Predicting the Future Chris Paxton Yonatan Bisk Jesse Thomason Arunkumar Byravan Dieter Fox LM&Ro 84 48 0 20 Mar 2019
Manipulation by Feel: Touch-Based Control with Deep Predictive Models Stephen Tian F. Ebert Dinesh Jayaraman M. Mudigonda Chelsea Finn Roberto Calandra Sergey Levine 67 133 0 11 Mar 2019
From pixels to percepts: Highly robust edge perception and contour following using deep learning and an optical biomimetic tactile sensor Nathan Lepora Alex Church Conrad de Kerckhove R. Hadsell John Lloyd 74 102 0 07 Dec 2018
Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks Michelle A. Lee Yuke Zhu K. Srinivasan Parth Shah Silvio Savarese Li Fei-Fei Animesh Garg Jeannette Bohg SSL 95 370 0 24 Oct 2018
Robust Learning of Tactile Force Estimation through Robot Interaction Balakumar Sundaralingam Alexander Lambert Ankur Handa Byron Boots Tucker Hermans Stan Birchfield Nathan D. Ratliff Dieter Fox OOD 45 60 0 15 Oct 2018
Sanity Checks for Saliency Maps Julius Adebayo Justin Gilmer M. Muelly Ian Goodfellow Moritz Hardt Been Kim FAtt AAML XAI 152 1,972 0 08 Oct 2018
Learning Dexterous In-Hand Manipulation OpenAI OpenAI Marcin Andrychowicz Bowen Baker Maciek Chociej Rafal Jozefowicz ... Szymon Sidor Joshua Tobin Peter Welinder Lilian Weng Wojciech Zaremba 166 1,884 0 01 Aug 2018
Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV) Been Kim Martin Wattenberg Justin Gilmer Carrie J. Cai James Wexler F. Viégas Rory Sayres FAtt 248 1,849 0 30 Nov 2017
Deep Haptic Model Predictive Control for Robot-Assisted Dressing Zackory M. Erickson Henry M. Clever Greg Turk Chenxi Liu Charles C. Kemp 43 83 0 27 Sep 2017
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 296 2,271 0 24 Jun 2017
Learning to Represent Haptic Feedback for Partially-Observable Tasks Jaeyong Sung J. Kenneth Salisbury Ashutosh Saxena SSL 67 32 0 17 May 2017
A probabilistic data-driven model for planar pushing Maria Bauzá Alberto Rodriguez 82 104 0 10 Apr 2017
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 348 20,110 0 07 Oct 2016
Top-down Neural Attention by Excitation Backprop Jianming Zhang Zhe Lin Jonathan Brandt Xiaohui Shen Stan Sclaroff 92 949 0 01 Aug 2016
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 317 7,321 0 20 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 605 15,907 0 12 Nov 2013
Data-Driven Grasp Synthesis - A Survey Jeannette Bohg A. Morales Tamim Asfour Danica Kragic 87 1,037 0 10 Sep 2013