A survey of robot learning from demonstration

Argall, Brenna D., Chernova, Sonia, Veloso, Manuela, Browning, Brett·2009·Robotics and Autonomous Systems

Cited by (1,009)

Items 101–200 of 1,009

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    Klas Kronander, Aude Billard · 2013 · IEEE Transactions on Haptics
  2. Statistical dynamical systems for skills acquisition in humanoids
    Sylvain Calinon, Zhibin Li, Tohid Alizadeh, Nikos G. Tsagarakis, Darwin G. Caldwell · 2012 · IEEE-RAS International Conference on Humanoid Robots (Humanoids)
  3. Current Researches and Future Development Trend of Intelligent Robot: A Review
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  4. Causal Confusion in Imitation Learning
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  5. Learning-based control strategy for safe human-robot interaction exploiting task and robot redundancies
    Sylvain Calinon, Irene Sardellitti, Darwin G. Caldwell · 2010 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  6. Learning to Detect Human-Object Interactions With Knowledge
    Bingjie Xu, Yongkang Wong, Junnan Li, Qi Zhao, Mohan Kankanhalli · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
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  8. Virtual-Taobao: Virtualizing Real-World Online Retail Environment for Reinforcement Learning
    Jing-Cheng Shi, Yang Yu, Qing Da, Shiyong Chen, Anxiang Zeng · 2019 · Proceedings of the AAAI Conference on Artificial Intelligence
  9. Reinforcement Learning in Robotics: A Survey
    Jens Kober, Jan Peters · 2012 · Adaptation, learning, and optimization
  10. Teaching on a budget: agents advising agents in reinforcement learning
    Lisa A. Torrey, Matthew Edmund Taylor · 2013
  11. Fast target prediction of human reaching motion for cooperative human-robot manipulation tasks using time series classification
    Claudia Pérez-D’Arpino, Julie Shah · 2015 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  12. A task-parameterized probabilistic model with minimal intervention control
    Sylvain Calinon, Danilo Bruno, Darwin G. Caldwell · 2014 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  13. An effective personal mobile robot agent through symbiotic human-robot interaction
    Stephanie L. Rosenthal, Joydeep Biswas, Manuela Veloso · 2010
  14. Understanding tools: Task-oriented object modeling, learning and recognition
    Yixin Zhu, Yibiao Zhao, Song Chun Zhu · 2015 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
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    Raunak Bhattacharyya, Blake Wulfe, Derek J. Phillips, Alex Kuefler, Jeremy Morton, Ransalu Senanayake, Mykel J. Kochenderfer · 2022 · IEEE Transactions on Intelligent Transportation Systems
  16. Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation
    Anthony Simeonov, Yilun Du, Andrea Tagliasacchi, Joshua B. Tenenbaum, Alberto Rodríguez, Pulkit Agrawal, Vincent Sitzmann · 2022 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  17. RoboFlow: A flow-based visual programming language for mobile manipulation tasks
    Sonya Alexandrova, Zachary Tatlock, Maya Çakmak · 2015 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  18. Understanding Everyday Hands in Action from RGB-D Images
    Grégory Rogez, James Steven Supančič, Deva Ramanan · 2015 · IEEE/CVF International Conference on Computer Vision (ICCV)
  19. Intrinsic interactive reinforcement learning – Using error-related potentials for real world human-robot interaction
    Su Kyoung Kim, Elsa Andrea Kirchner, Arne Stefes, Frank Kirchner · 2017 · Scientific Reports
  20. Learning Exploration Policies for Navigation
    Tao Chen, Saurabh Gupta, Abhinav Gupta · 2019 · arXiv (Cornell University)
  21. Deep learning in robotics: survey on model structures and training strategies
    Karoly, Artur Istvan, Galambos, Peter, Kuti, Jozsef, Rudas, Imre J. · 2021 · IEEE Transactions on Systems, Man, and Cybernetics: Systems
  22. Multilateral surgical pattern cutting in 2D orthotropic gauze with deep reinforcement learning policies for tensioning
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  23. Plan explicability and predictability for robot task planning
    Yu Zhang, Sarath Sreedharan, Anagha Kulkarni, Tathagata Chakraborti, Hankz Hankui Zhuo, Subbarao Kambhampati B · 2017 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  24. Trustworthy AI and robotics: Implications for the AEC industry
    Newsha Emaminejad, Reza Akhavian · 2022 · Automation in Construction
  25. On-line regression algorithms for learning mechanical models of robots: A survey
    Olivier Sigaud, Camille Salaün, Vincent Padois · 2011 · Robotics and Autonomous Systems
  26. Reinforcement and Imitation Learning via Interactive No-Regret Learning
    Stéphane Ross, James Andrew Bagnell · 2014 · arXiv (Cornell University)
  27. Third-Person Imitation Learning
    Bradly C. Stadie, Pieter Abbeel, Ilya Sutskever · 2017 · arXiv (Cornell University)
  28. How to Build a Supervised Autonomous System for Robot-Enhanced Therapy for Children with Autism Spectrum Disorder
    Pablo Gómez Esteban, Paul E. Baxter, Tony Belpaeme, Erik Billing, Haibin Cai, Hoang-Long Cao, Mark Coeckelbergh, Cristina Anamaria Costescu, Daniel David, Albert De Beir et al. · 2017 · Paladyn Journal of Behavioral Robotics
  29. Human–Vehicle Cooperation in Automated Driving: A Multidisciplinary Review and Appraisal
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  30. A robot learning from demonstration framework to perform force-based manipulation tasks
    Leonel Dario Rozo, Pablo Jiménez, Carme Torras A · 2013 · Intelligent Service Robotics
  31. PUMICE: A Multi-Modal Agent that Learns Concepts and Conditionals from Natural Language and Demonstrations
    Toby Jia-Jun Li, Marissa Radensky, Justin Jia, Kirielle Singarajah, Tom M. Mitchell, Brad A. Myers · 2019 · ACM Symposium on User Interface Software and Technology (UIST)
  32. Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense
    Yixin Zhu, Tao Gao, Lifeng Fan, Siyuan Huang, Mark Edmonds, Hangxin Liu, Feng Gao, Chi Zhang, Siyuan Qi, Ying Nian Wu et al. · 2020 · Engineering
  33. ROBOTURK: A Crowdsourcing Platform for Robotic Skill Learning through Imitation
    Mandlekar, Ajay, Zhu, Yuke, Garg, Animesh, Booher, Jonathan, Spero, Max, Tung, Albert, Gao, Julian, Emmons, John, Gupta, Anchit, Orbay, Emre et al. · 2018 · arXiv
  34. R-IAC: Robust Intrinsically Motivated Exploration and Active Learning
    Adrien Baranès, Pierre‐Yves Oudeyer · 2009 · IEEE Transactions on Autonomous Mental Development
  35. A survey of inverse reinforcement learning
    Stephen Adams, Tyler Cody, Peter A. Beling · 2022 · Artificial Intelligence Review
  36. Teaching robots to cooperate with humans in dynamic manipulation tasks based on multi-modal human-in-the-loop approach
    Luka Peternel, Tadej Petrič, Erhan Öztop, Jan Babič · 2013 · Autonomous Robots
  37. Integrating reinforcement learning with human demonstrations of varying ability
    Matthew Edmund Taylor, Halit Bener Suay, Sonia Chernova · 2011
  38. Role of expressive behaviour for robots that learn from people
    Cynthia Breazeal · 2009 · Philosophical Transactions of the Royal Society B Biological Sciences
  39. Training a Robot via Human Feedback: A Case Study
    W. Bradley Knox, Peter Stone, Cynthia Breazeal · 2013 · Lecture notes in computer science
  40. “Teach Me–Show Me”—End-User Personalization of a Smart Home and Companion Robot
    Joe Saunders, Dag Sverre Syrdal, Kheng Lee Koay, Nathan Burke, Kerstin Dautenhahn · 2015 · IEEE Transactions on Human-Machine Systems
  41. Learning to Rearrange Deformable Cables, Fabrics, and Bags with Goal-Conditioned Transporter Networks
    Seita, Daniel, Florence, Pete, Tompson, Jonathan, Coumans, Erwin, Sindhwani, Vikas, Goldberg, Ken, Zeng, Andy · 2021 · 2021 IEEE International Conference on Robotics and Automation (ICRA)
  42. End-to-End Driving Via Conditional Imitation Learning
    Codevilla, Felipe, Muller, Matthias, Lopez, Antonio, Koltun, Vladlen, Dosovitskiy, Alexey · 2018 · 2018 IEEE International Conference on Robotics and Automation (ICRA)
  43. Interactive robot trajectory planning and simulation using Augmented Reality
    Hongchao Fang, S. K. Ong, Andrew Y. C. Nee · 2011 · Robotics and Computer-Integrated Manufacturing
  44. A Learning-Based Stable Servo Control Strategy Using Broad Learning System Applied for Microrobotic Control
    Sheng Xu, Jia Liu, Chenguang Yang, Xinyu Wu, Tiantian Xu · 2021 · IEEE Transactions on Cybernetics
  45. Robot learning of industrial assembly task via human demonstrations
    Maria Kyrarini, Muhammad Haseeb, Danijela Ristić–Durrant, Axel Gräser · 2018 · Autonomous Robots
  46. From inverse optimal control to inverse reinforcement learning: A historical review
    Nematollah Ab Azar, Aref Shahmansoorian, Mohsen Davoudi · 2020 · Annual Reviews in Control
  47. Human-robot cross-training: Computational formulation, modeling and evaluation of a human team training strategy
    Stefanos Nikolaidis, Julie Shah · 2013 · ACM/IEEE International Conference on Human-Robot Interaction (HRI)
  48. Autonomous Tissue Manipulation via Surgical Robot Using Learning Based Model Predictive Control
    Changyeob Shin, Peter Walker Ferguson, Sahba Aghajani Pedram, Ji Ma, Erik P. Dutson, Jacob Rosen · 2019 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  49. Metahuman systems = humans + machines that learn
    Kalle Lyytinen, Jeffrey V. Nickerson, John Leslie King · 2020 · Journal of Information Technology
  50. Robust Imitation of Diverse Behaviors
    Ziyu Wang, Josh Merel, Scott Reed, Greg Wayne, Nando de Freitas, Nicolas Heess · 2017 · arXiv (Cornell University)
  51. A Survey on Policy Search Algorithms for Learning Robot Controllers in a Handful of Trials
    Chatzilygeroudis, Konstantinos, Vassiliades, Vassilis, Stulp, Freek, Calinon, Sylvain, Mouret, Jean-Baptiste · 2020 · IEEE Transactions on Robotics
  52. Detailed 2D-3D Joint Representation for Human-Object Interaction
    Yong–Lu Li, Xinpeng Liu, Lu Han, Shiyi Wang, Junqi Liu, Jiefeng Li, Cewu Lu · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
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  54. Hierarchical Reinforcement Learning: A Survey and Open Research Challenges
    Hutsebaut-Buysse, Matthias, Mets, Kevin, Latré, Steven · 2022 · Machine Learning and Knowledge Extraction
  55. Deep Interactive Reinforcement Learning for Path Following of Autonomous Underwater Vehicle
    Qilei Zhang, Jinying Lin, Qixin Sha, Bo He, Guangliang Li · 2020 · IEEE Access
  56. Watch this: Scalable cost-function learning for path planning in urban environments
    Wulfmeier, Markus, Wang, Dominic Zeng, Posner, Ingmar · 2016 · 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  57. Prioritized Experience-Based Reinforcement Learning With Human Guidance for Autonomous Driving
    Jingda Wu, Zhiyu Huang, Wenhui Huang, Chen Lv · 2022 · IEEE Transactions on Neural Networks and Learning Systems
  58. Find your own way: Weakly-supervised segmentation of path proposals for urban autonomy
    Dan Barnes, Will Maddern, Ingmar Posner · 2017 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  59. Robot Learning from Human Teachers
    Sonia Chernova, Andrea L. Thomaz · 2014 · Synthesis lectures on artificial intelligence and machine learning
  60. Personalization in advanced driver assistance systems and autonomous vehicles: A review
    Martina Hasenjäger, Heiko Wersing · 2017 · IEEE International Conference on Intelligent Transportation Systems (ITSC)
  61. Teaching robots to perform quasi-repetitive construction tasks through human demonstration
    Ci‐Jyun Liang, Vineet R. Kamat, Carol C. Menassa · 2020 · Automation in Construction
  62. Virtual, Augmented, and Mixed Reality for Human-robot Interaction: A Survey and Virtual Design Element Taxonomy
    Michael Walker, Thao Phung, Tathagata Chakraborti, Tom Williams, Daniel J. Szafir · 2023 · ACM Transactions on Human-Robot Interaction
  63. The actorʼs view of automated planning and acting: A position paper
    Malik Ghallab, Dana S. Nau, Paolo Traverso · 2013 · Artificial Intelligence
  64. Effect of human guidance and state space size on Interactive Reinforcement Learning
    Halit Bener Suay, Sonia Chernova · 2011 · IEEE RO-MAN
  65. Unsupervised Perceptual Rewards for Imitation Learning
    Pierre Sermanet, Kelvin Xu, Sergey Levine · 2017 · Robotics: Science and Systems
  66. Assessment of the automation potential of electric vehicle battery disassembly
    Jan Friedrich Hellmuth, Nicholas M. DiFilippo, Musa K. Jouaneh · 2021 · Journal of Manufacturing Systems
  67. Generating Legible Motion
    Anca D. Dragan, Siddhartha S Srinivasa · 2013 · Robotics: Science and Systems
  68. Toward next-generation learned robot manipulation
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  69. Learning motor skills: from algorithms to robot experiments
    Jens Kober · 2014 · it - Information Technology
  70. Safe Exploration in Finite Markov Decision Processes with Gaussian Processes
    Matteo Turchetta, Felix Berkenkamp, Andreas Krause · 2016 · arXiv (Cornell University)
  71. Human-robot cross-training: computational formulation, modeling and evaluation of a human team training strategy
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  72. Preference-Based Learning for Exoskeleton Gait Optimization
    Maegan Tucker, Ellen Novoseller, Claudia K. Kann, Yanan Sui, Yisong Yue, Joel W. Burdick, Aaron D. Ames · 2020 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  73. Affordances from Human Videos as a Versatile Representation for Robotics
    Bahl, Shikhar, Mendonca, Russell, Chen, Lili, Jain, Unnat, Pathak, Deepak · 2023 · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  74. Robot Learning by Demonstration with local Gaussian process regression
    M Schneider, Wolfgang Ertel · 2010 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  75. SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards
    Siddharth Reddy, Anca D. Dragan, Sergey Levine · 2019 · arXiv (Cornell University)
  76. A survey of inverse reinforcement learning techniques
    Zhifei Shao, Er Meng Joo · 2012 · International Journal of Intelligent Computing and Cybernetics
  77. Robotic assembly solution by human-in-the-loop teaching method based on real-time stiffness modulation
    Luka Peternel, Tadej Petrič, Jan Babič · 2017 · Autonomous Robots
  78. Classical Planning in Deep Latent Space: Bridging the Subsymbolic-Symbolic Boundary
    Masataro Asai, Alex S. Fukunaga · 2018 · Proceedings of the AAAI Conference on Artificial Intelligence
  79. Deep Imitation Learning of Sequential Fabric Smoothing From an Algorithmic Supervisor
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  81. Self-Supervised Correspondence in Visuomotor Policy Learning
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  82. Digital Twin for Human–Robot Interactions by Means of Industry 4.0 Enabling Technologies
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  83. Trajectory generation for robotic assembly operations using learning by demonstration
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  84. A Learning-Based Hierarchical Control Scheme for an Exoskeleton Robot in Human–Robot Cooperative Manipulation
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  88. Multiagent Reinforcement Learning: Rollout and Policy Iteration
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  92. No-Regret Reductions for Imitation Learning and Structured Prediction
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  93. Interactive Task Learning
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