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Recent progress in end-to-end Imitation Learning approaches has shown promising results and generalization capabilities on mobile manipulation tasks.
“Robust Estimation of a Location Parameter”
Peter. Huber · 1964
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“Path planning for mobile manipulators for multiple task execution”
W.F. Carriker, P.K. Khosla and B.H. Krogh · 1991
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K. Nagatani and S. Yuta · 1996
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“Eligibility Traces for Off-Policy Policy Evaluation”
Doina Precup, Richard. Sutton and Satinder Singh · 2000
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“Off-Policy Temporal Difference Learning with Function Approximation”
Doina Precup, Richard. Sutton and Sanjoy Dasgupta · 2001
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“A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning”
Stephane Ross, Geoffrey. Gordon and J. Bagnell · 2010
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“Neural networks for prediction of robot failures”
Ali. Diryag, Marko Mitic and Zoran Miljković · 2014
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“An Improved Kernel Based Extreme Learning Machine for Robot Execution Failures”
Bin Li, Xuewen Rong and Yibin Li · 2014
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“Deep Residual Learning for Image Recognition”
Kaiming He, Xiangyu Zhang, Shaoqing Ren and Jian Sun · 2015
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“Bayesian Network Classifier with Efficient Statistical Time-Series Features for the Classification of Robot Execution Failures”
José Alonso-Tovar et al · 2016
Cited alongside, same era.
“Data-Efficient Off-Policy Policy Evaluation for Reinforcement Learning”
Philip. Thomas and Emma Brunskill · 2016
Cited alongside, same era.
“Deep Variational Information Bottleneck”
Alexander. Alemi, Ian Fischer, Joshua. Dillon and Kevin Murphy · 2016
Cited alongside, same era.
“Safe Visual Navigation via Deep Learning and Novelty Detection”
Charles Richter and Nicholas Roy · 2017
Cited alongside, same era.
“Learning mobile manipulation actions from human demonstrations”
Tim Welschehold, Christian Dornhege and Wolfram Burgard · 2017
Cited alongside, same era.
“Reinforcement learning: An introduction”
“Combined Task and Action Learning from Human Demonstrations for Mobile Manipulation Applications”
Tim Welschehold, Nichola Abdo, Christian Dornhege and Wolfram Burgard · 2019
Later among the works it cites.
“Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes”
Nathan Kallus and Masatoshi Uehara · 2020
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“Benchmarks for Deep Off-Policy Evaluation”
Justin Fu et al · 2021
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“Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning”
Cameron Voloshin, Hoang Le, Nan Jiang and Yisong Yue · 2021
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“Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation”
Josiah Wong et al · 2021
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Richard Sutton and Andrew Barto · 2018
Cited alongside, same era.
“GONet: A Semi-Supervised Deep Learning Approach For Traversability Estimation”
Noriaki Hirose et al · 2018
Cited alongside, same era.
“Deep Convolution Neural Networks for the Classification of Robot Execution Failures”
Yinan Liu, Xiuqing Wang, Xuemei Ren and Feng Lyu · 2019
Cited alongside, same era.
“EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning”
Kunal Menda, Katherine Driggs-Campbell and Mykel. Kochenderfer · 2019
Cited alongside, same era.
“Practical Imitation Learning in the Real World via Task Consistency Loss”
Mohi Khansari et al · 2022
Later among the works it cites.
“Bayesian Imitation Learning for End-to-End Mobile Manipulation”
Yuqing Du et al · 2022
Later among the works it cites.
“Do As I Can and Not As I Say: Grounding Language in Robotic Affordances”
Michael Ahn et al · 2022
Later among the works it cites.
“BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning”
Eric Jang et al · 2022
Later among the works it cites.