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 801–900 of 1,009

  1. Methods for Learning Control Policies from Variable-Constraint Demonstrations
    Matthew Howard, Stefan Klanke, Michael Gienger, Christian Goerick, Sethu Vijayakumar · 2009 · Studies in computational intelligence
  2. Transfer of contact skills to new environmental conditions
    Aljaž Kramberger, Andrej Gams, Bojan Nemec, Casper Schou, Dimitrios Chrysostomou, Ole Madsen, Aleš Ude · 2016 · IEEE-RAS International Conference on Humanoid Robots (Humanoids)
  3. On Studying Human Teaching Behavior with Robots: a Review
    Anna-Lisa Vollmer, Lars Schillingmann · 2017 · Review of Philosophy and Psychology
  4. Learning generalizable surface cleaning actions from demonstration
    Sarah Elliott, Zhe Xu, Maya Çakmak · 2017 · IEEE RO-MAN
  5. Modeling Driver Behavior from Demonstrations in Dynamic Environments Using Spatiotemporal Lattices
    David González, Özgür Erkent, Víctor Romero-Cano, Jilles Dibangoye, Christian Laugier · 2018 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  6. RIDM: Reinforced Inverse Dynamics Modeling for Learning from a Single Observed Demonstration
    Brahma S. Pavse, Faraz Torabi, Josiah P. Hanna, Garrett Warnell, Peter Stone · 2020 · IEEE Robotics and Automation Letters
  7. Robot Learning of Assistive Manipulation Tasks by Demonstration via Head Gesture-based Interface
    Maria Kyrarini, Quan Zheng, Muhammad Haseeb, Axel Gräser · 2019 · International Conference on Rehabilitation Robotics
  8. Agent-based model construction using inverse reinforcement learning
    Kamwoo Lee, Mark Rucker, William T. Scherer, Peter A. Beling, Matthew S. Gerber, Hyojung Kang · 2017 · Winter Simulation Conference
  9. Towards Understanding How Humans Teach Robots
    Tasneem Kaochar, Raquel Torres Peralta, Clayton T. Morrison, Ian Fasel, Thomas J. Walsh, Paul R. Cohen · 2011 · Lecture notes in computer science
  10. V2CNet: A Deep Learning Framework to Translate Videos to Commands for Robotic Manipulation
    Nguyen, Anh, Thanh-Toan Do, Ian D. Reid, Darwin G. Caldwell, Nikos G. Tsagarakis · 2019 · arXiv (Cornell University)
  11. Toward the Fundamental Limits of Imitation Learning
    Nived Rajaraman, Lin Forrest Yang, Jiantao Jiao, Ramachandran, Kannan · 2020 · arXiv (Cornell University)
  12. Fighting Copycat Agents in Behavioral Cloning from Observation Histories
    Chuan Wen, Jierui Lin, Trevor Darrell, Dinesh Jayaraman, Yang Gao · 2020 · Neural Information Processing Systems
  13. Humanoid Robots and Humanoid AI: Review, Perspectives and Directions
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  14. Virtual Network Marathon with immersion, scientificalness, competitiveness, adaptability and learning
    Mingmin Zhang, Mingliang Xu, Lizhen Han, Yong Liu, Pei Lv, Gaoqi He · 2012 · Computers & Graphics
  15. Augmented Reinforcement Learning for Interaction with Non-expert Humans in Agent Domains
    Mohan Sridharan · 2011 · International Conference on Machine Learning and Applications
  16. Neural Network Pile Loading Controller Trained by Demonstration
    Eric Halbach, Joni Kämäräinen, Reza Ghabcheloo · 2019 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  17. cGAIL: Conditional Generative Adversarial Imitation Learning—An Application in Taxi Drivers’ Strategy Learning
    Xin Zhang, Yanhua Li, Xun S. Zhou, Jun Luo · 2020 · IEEE Transactions on Big Data
  18. Human to Robot Whole-Body Motion Transfer
    Miguel Arduengo, Ana Arduengo, Adrià Colomé, Joan Lobo-Prat, Carme Torras A · 2021 · IEEE-RAS International Conference on Humanoid Robots (Humanoids)
  19. A structured methodology to support human–robot collaboration configuration choice
    Riccardo Gervasi, Luca Mastrogiacomo, Domenico Augusto Maisano, Dario Antonelli, Fiorenzo Franceschini · 2021 · Production Engineering
  20. User-guided motion planning with reinforcement learning for human-robot collaboration in smart manufacturing
    Yu Tian, Qing Chang · 2022 · Expert Systems with Applications
  21. Learning mobile robot motion control from demonstration and corrective feedback
    Brett Browning A, Manuela Veloso, Brenna Argall · 2009
  22. Programming Robots to Express Emotions: Interaction Paradigms, Communication Modalities, and Context
    Vimitha Manohar, Jacob W. Crandall · 2014 · IEEE Transactions on Human-Machine Systems
  23. Learning something from nothing: Leveraging implicit human feedback strategies
    Robert Loftin, Bei Peng, James MacGlashan, Michael L. Littman, Matthew Edmund Taylor, Jeff Huang, David L. Roberts · 2014 · IEEE RO-MAN
  24. Learning nonlinear dynamical system for movement primitives
    Xiaochuan Yin, Qijun Chen · 2014 · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics
  25. Task Refinement for Autonomous Robots Using Complementary Corrective Human Feedback
    Çetin Meriçli, Manuela Veloso, H. Levent Akın · 2011 · International Journal of Advanced Robotic Systems
  26. Building High-Performing Human-Like Tactical Agents Through Observation and Experience
    G Stein, Avelino J. González · 2010 · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
  27. Robot trajectory generation using modified hidden Markov model and Lloyd's algorithm in joint space
    Javier Garrido, Wen Yu, Xiaoou Li · 2016 · Engineering Applications of Artificial Intelligence
  28. Learning task goals interactively with visual demonstrations
    James R. Kirk, Aaron Mininger, John E. Laird · 2016 · Biologically Inspired Cognitive Architectures
  29. Chaotic metaheuristic algorithms for learning and reproduction of robot motion trajectories
    Marko Mitić, Najdan L. Vuković, Milica Petrović, Zoran Miljković · 2016 · Neural Computing and Applications
  30. A cognitive architecture for automatic gardening
    Alejandro Agostini, Guillem Alenyà, Andreas Fischbach, Hanno Scharr, Florentin Wörgötter, Carme Torras A · 2017 · Computers and Electronics in Agriculture
  31. Using dVRK teleoperation to facilitate deep learning of automation tasks for an industrial robot
    Jacky Liang, Jeffrey Mahler, Michael Laskey, Pusong Li, Ken Y. Goldberg · 2017 · IEEE International Conference on Automation Science and Engineering (CASE)
  32. Flexible Automation Driven by Demonstration: Leveraging Strategies that Simplify Robotics
    Andrea Giusti, Martijn J.A. Zeestraten, Esra İçer, Aaron Pereira, Darwin G. Caldwell, Sylvain Calinon, Matthias Althoff · 2018 · IEEE Robotics & Automation Magazine
  33. Improving Reinforcement Learning with Human Input
    Matthew Edmund Taylor · 2018 · International Joint Conference on Artificial Intelligence
  34. Applying machine learning to accelerate new materials development
    Wei Wu, Qiang Sun · 2018 · Zhongguo kexue. Wulixue Lixue Tianwenxue
  35. A Passivity-Based Strategy for Coaching in Human-Robot Interaction
    Chiara Talignani Landi, Federica Ferraguti, Cesare Fantuzzi, Cristian Secchi · 2018 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  36. Interactive Reinforcement Learning from Demonstration and Human Evaluative Feedback
    Guangliang Li, Bo He, Randy Gómez, Keisuke Nakamura · 2018 · IEEE RO-MAN
  37. Imitation Learning from Video by Leveraging Proprioception
    Faraz Torabi, Garrett Warnell, Peter Stone · 2019 · International Joint Conference on Artificial Intelligence
  38. A survey on semantic-based methods for the understanding of human movements
    Karinne Ramírez-Amaro, Yezhou Yang, Gordon Cheng · 2019 · Robotics and Autonomous Systems
  39. An improved reinforcement learning algorithm based on knowledge transfer and applications in autonomous vehicles
    Derui Ding, Zifan Ding, Guoliang Wei, Fei Han · 2019 · Neurocomputing
  40. VRGym
    Xu Xie, Hangxin Liu, Zhenliang Zhang, Yuxing Qiu, Feng Gao, Siyuan Qi, Yixin Zhu, Song Chun Zhu · 2019 · ACM Turing Celebration Conference - China (ACM TURC)
  41. Facial feedback for reinforcement learning: a case study and offline analysis using the TAMER framework
    Guangliang Li, Hamdi Dibeklioğlu, Shimon Whiteson, Hayley Hung · 2020 · Autonomous Agents and Multi-Agent Systems
  42. Using Potential Field Function With a Velocity Field Controller to Learn and Reproduce the Therapist's Assistance in Robot-Assisted Rehabilitation
    Mohammad Najafi, Carlos Rossa, Kim D. Adams, Mahdi Tavakoli · 2020 · IEEE/ASME Transactions on Mechatronics
  43. Interactive Task Learning from GUI-Grounded Natural Language Instructions and Demonstrations
    Toby Jia-Jun Li, Tom M. Mitchell, Brad A. Myers · 2020 · Annual Meeting of the Association for Computational Linguistics: System Demonstrations (ACL Demo)
  44. Explaining Multi-stage Tasks by Learning Temporal Logic Formulas from Suboptimal Demonstrations
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  45. Task-Oriented Motion Mapping on Robots of Various Configuration Using Body Role Division
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  46. Inferring and assisting with constraints in shared autonomy
    Negar Mehr, Roberto Horowitz, Anca D. Dragan · 2016 · IEEE Conference on Decision and Control (CDC)
  47. Online Transfer Learning in Reinforcement Learning Domains
    Yusen Zhan, Matthew Edmund Taylor · 2015 · arXiv (Cornell University)
  48. On Computation and Generalization of Generative Adversarial Imitation Learning
    Minshuo Chen, Yizhou Wang, Tianyi Liu, Zhuoran Yang, Xingguo Li, Zhaoran Wang, Tuo Zhao · 2020 · arXiv (Cornell University)
  49. ACNMP: Skill Transfer and Task Extrapolation through Learning from Demonstration and Reinforcement Learning via Representation Sharing
    Mete Tuluhan Akbulut, Erhan Öztop, M. Yunus Seker, Honghu Xue, Ahmet E. Tekden, Emre Uğur · 2020 · arXiv (Cornell University)
  50. Blind spot detection for safe sim-to-real transfer
    Ramakrishnan, Ramya, Kamar, Ece, Dey, Debadeepta, Horvitz, Eric, Shah, Julie · 2020 · Journal of Artificial Intelligence Research
  51. See to touch: Learning tactile dexterity through visual incentives
    Guzey, Irmak, Dai, Yinlong, Evans, Ben, Chintala, Soumith, Pinto, Lerrel · 2024 · 2024 IEEE International Conference on Robotics and Automation (ICRA)
  52. Embodied AI: A Survey on the Evolution from Perceptive to Behavioral Intelligence
    Chen Yifan, Mingjie Wei, Xuesong Wang, Yuanxing Liu, Jizhe Wang, Hao Song, Longxuan Ma, Donglin Di, Churui Sun, Kaifeng Liu et al. · 2025 · SmartBot
  53. Incremental learning using partial feedback for gesture-based human-swarm interaction
    Jawad Nagi, Hung Ngo, Alessandro Giusti, Luca Maria Gambardella, Jürgen Schmidhuber, Gianni A. Di · 2012 · IEEE RO-MAN
  54. Imitation learning for task allocation
    Felix Duvallet, Anthony Stentz · 2010 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  55. Simultaneous acquisition of task and feedback models
    Manuel C. Lopes, Thomas Cederbourg, Pierre‐Yves Oudeyer · 2011 · IEEE International Conference on Development and Learning (ICDL)
  56. An image-based trajectory planning approach for robust robot programming by demonstration
    Aleksandar Vakanski, Farrokh Janabi‐Sharifi, Iraj Mantegh · 2017 · Robotics and Autonomous Systems
  57. Learning from Demonstrations and Human Evaluative Feedbacks: Handling Sparsity and Imperfection Using Inverse Reinforcement Learning Approach
    Nafee Mourad, Ali Ezzeddine, Babak Nadjar Araabi, Majid Nili Ahmadabadi · 2020 · Journal of Robotics
  58. SQUIRL: Robust and Efficient Learning from Video Demonstration of Long-Horizon Robotic Manipulation Tasks
    Bohan Wu, Feng Xu, Zhanpeng He, Abhi Gupta, Peter K. Allen · 2020 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  59. Demonstration of the EMPATHIC Framework for Task Learning from Implicit Human Feedback
    Yuchen Cui, Qiping Zhang, Sahil Jain, Alessandro Allievi, Peter Stone, Scott Niekum, W. Bradley Knox · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
  60. Trajectory-Based Skill Learning for Overhead Construction Robots Using Generalized Cylinders with Orientation
    Ci‐Jyun Liang, Vineet R. Kamat, Carol C. Menassa, Wes McGee · 2021 · Journal of Computing in Civil Engineering
  61. Manipulation Planning From Demonstration Via Goal-Conditioned Prior Action Primitive Decomposition and Alignment
    Nan Lin, Yuxuan Li, Keke Tang, Yujun Zhu, Xiayu Zhang, Ruolin Wang, Jianmin Ji, Xiaoping Chen, Xinming Zhang · 2022 · IEEE Robotics and Automation Letters
  62. A new six degree-of-freedom parallel robot with three limbs for high-speed operations
    Zhaoran. Meng, Wen-ao Cao, Huafeng Ding, Ziming Chen · 2022 · Mechanism and Machine Theory
  63. Type-2 Fuzzy Model-Based Movement Primitives for Imitation Learning
    Da Ming Sun, Qianfang Liao, Amy Loutfi · 2022 · IEEE Transactions on Robotics
  64. Heterogeneous Graph Neural Network-Based Imitation Learning for Gate Sizing Acceleration
    Xinyi Zhou, Junjie Ye, Chak-Wa Pui, Kun Shao, Guangliang Zhang, Bin Wang, Jianye Hao, Guangyong Chen, Pheng‐Ann Heng · 2022 · International Conference on Computer Aided Design
  65. Efficiently Learning Single-Arm Fling Motions to Smooth Garments
    Lawrence Yunliang Chen, Huang Huang, Ellen Novoseller, Daniel Seita, Jeffrey Ichnowski, Michael Laskey, Richard Cheng, Thomas Kollar, Ken Y. Goldberg · 2023 · Springer proceedings in advanced robotics
  66. Validating metrics for reward alignment in human-autonomy teaming
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  67. Unified Learning from Demonstrations, Corrections, and Preferences during Physical Human–Robot Interaction
    Shaunak A. Mehta, Dylan P. Losey · 2023 · ACM Transactions on Human-Robot Interaction
  68. Graph Learning in Robotics: A Survey
    Francesca Pistilli, Giuseppe Averta · 2023 · IEEE Access
  69. Learning from demonstration for autonomous generation of robotic trajectory: Status quo and forward-looking overview
    Weidong Li, Yuqi Wang, Yuchen Liang, Duc Truong Pham · 2024 · Advanced Engineering Informatics
  70. Online customization of teleoperation interfaces
    Anca D. Dragan, Siddhartha S Srinivasa · 2012 · IEEE RO-MAN
  71. Towards Learning of Generic Skills for Robotic Manipulation
    Jan Hendrik Metzen, Alexander Fabisch, Lisa Senger, José de Gea Fernández, Elsa Andrea Kirchner · 2013 · Künstliche Intell.
  72. Towards a platform-independent cooperative human-robot interaction system: II. Perception, execution and imitation of goal directed actions
    Stéphane Lallée, Ugo Pattacini, Jean-David Boucher, Séverin Lemaignan, A. Lenz, Chris Melhuish, Lorenzo Natale, Sergey Skachek, Katharina Hamann, Jasmin Steinwender et al. · 2011 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  73. Trajectory learning from demonstration with canal surfaces: A parameter-free approach
    S. Reza Ahmadzadeh, Roshni Kaushik, Sonia Chernova · 2016 · IEEE-RAS International Conference on Humanoid Robots (Humanoids)
  74. Efficient learning of constraints and generic null space policies
    Leopoldo Armesto, Jorren Bosga, Vladimir Ivan, Sethu Vijayakumar · 2017 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  75. Goal-predictive robotic teleoperation from noisy sensors
    Christopher Schultz, Sanket Gaurav, Mathew Monfort, Lingfei Zhang, Brian D. Ziebart · 2017 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  76. Human-Guided Object Mapping for Task Transfer
    Tesca Fitzgerald, Ashok Kumar Goel, Andrea L. Thomaz · 2018 · ACM Transactions on Human-Robot Interaction
  77. Neural Network-Based Learning from Demonstration of an Autonomous Ground Robot
    Yiwei Fu, Devesh K. Jha, Zeyu Zhang, Zhenyuan Yuan, Asok Ray · 2019 · Machines
  78. Motion encoding with asynchronous trajectories of repetitive teleoperation tasks and its extension to human-agent shared teleoperation
    Affan Pervez, Hiba Ovais Latifee, Jee-Hwan Ryu, Dongheui Lee · 2019 · Autonomous Robots
  79. Real-time robot path planning from simple to complex obstacle patterns via transfer learning of options
    Olimpiya Saha, Prithviraj Dasgupta, Bradley Woosley · 2019 · Autonomous Robots
  80. Reinforcement learning of motor skills using Policy Search and human corrective advice
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  81. Towards Reinforcement based Learning of an Assembly Process for Human Robot Collaboration
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  82. Training Human Teacher to Improve Robot Learning from Demonstration: A Pilot Study on Kinesthetic Teaching
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  83. Learning from Demonstration Using MDP Induced Metrics
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  84. Teaching coordinated strategies to soccer robots via imitation
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  85. Mirroring without Overimitation: Learning Functionally Equivalent Manipulation Actions
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  86. Robust intrinsically motivated exploration and active learning
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  87. Abstraction from demonstration for efficient reinforcement learning in high-dimensional domains
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  88. The EMPATHIC Framework for Task Learning from Implicit Human Feedback
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  89. Smart Contract Code Repair Recommendation based on Reinforcement Learning and Multi-metric Optimization
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  90. One-shot robot programming by demonstration using an online oriented particles simulation
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  91. Robust learning from demonstrations using multidimensional SAX
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