A survey of robot learning from demonstration

Argall, Brenna D., Chernova, Sonia, Veloso, Manuela, Browning, Brett·2009·Robotics and Autonomous Systems
DOI 10.1016/j.robot.2008.10.024

Cited by (1,009)

Items 901–1,000 of 1,009

  1. Task Space Retrieval Using Inverse Feedback Control
    Nikolay Jetchev, Marc Toussaint · 2011
  2. Teaching robots the use of human tools from demonstration with non-dexterous end-effectors
    Wenbin Li, Mario Fritz · 2015 · IEEE-RAS International Conference on Humanoid Robots (Humanoids)
  3. Robust Trajectory Optimization Under Frictional Contact with Iterative Learning
    Jingru Luo, Kris K. Hauser · 2015 · Robotics: Science and Systems
  4. Learning Lyapunov (Potential) Functions from Counterexamples and Demonstrations
    Hadi Ravanbakhsh, Sriram Sankaranarayanan · 2017 · Robotics: Science and Systems
  5. Multi-Modal Robot Apprenticeship: Imitation Learning Using Linearly Decayed DMP+ in a Human-Robot Dialogue System
    Yan Jun Wu, Ruohan Wang, Luis Fernando D’Haro, Rafael E. Banchs, Keng Peng Tee · 2018 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  6. Interactively shaping robot behaviour with unlabeled human instructions
    Anis Najar, Olivier Sigaud, Mohamed Chétouani · 2020 · Autonomous Agents and Multi-Agent Systems
  7. Hybrid Reinforcement Learning with Expert State Sequences
    Xiaoxiao Guo, Shiyu Chang, Mo Yu, Gerald J. Tesauro, Murray S. Campbell · 2019 · Proceedings of the AAAI Conference on Artificial Intelligence
  8. Learning Interactive Behaviors for Musculoskeletal Robots Using Bayesian Interaction Primitives
    Joseph Campbell, Arne Hitzmann, Simon Stepputtis, Shuhei Ikemoto, Koh Hosoda, Heni Ben Amor · 2019 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  9. Robot perceptual adaptation to environment changes for long-term human teammate following
    Sriram Siva, Hao Zhang · 2020 · The International Journal of Robotics Research
  10. Skill Learning by Autonomous Robotic Playing Using Active Learning and Exploratory Behavior Composition
    Simon Hangl, Vedran Dunjko, Hans J. Briegel, Justus Piater · 2020 · Frontiers in Robotics and AI
  11. User Needs and Design Opportunities in End-User Robot Programming
    Gopika Ajaykumar, Chien‐Ming Huang · 2020 · ACM/IEEE International Conference on Human-Robot Interaction (HRI)
  12. Towards Human-Level Semantics Understanding of Human-Centered Object Manipulation Tasks for HRI: Reasoning About Effect, Ability, Effort and Perspective Taking
    Amit Kumar Pandey, Rachid Alami · 2014 · International Journal of Social Robotics
  13. The Impact of Human–Robot Interface Design on the Use of a Learning Robot System
    Guillaume Doisy, Joachim Meyer, Yael Edan · 2014 · IEEE Transactions on Human-Machine Systems
  14. Robot motion adaptation through user intervention and reinforcement learning
    Aleksandar Jevtić, Adrià Colomé, Guillem Alenyà, Carme Torras A · 2017 · Pattern Recognition Letters
  15. A survey of Automotive Driving Assistance Systems technologies
    Asmaa Swief, Mohamed El-Habrouk · 2018 · International Artificial Intelligence and Data Processing Symposium (IDAP)
  16. A Comparison of learning algorithms on the Arcade Learning Environment
    Aaron Defazio, Thore Graepel · 2014 · arXiv (Cornell University)
  17. Imitation Learning in Robots
    Aude Billard, Daniel H. Grollman · 2012 · Springer eBooks
  18. Mathematical Models of Adaptation in Human-Robot Collaboration
    Stefanos Nikolaidis, Jodi Forlizzi, David Hsu, Julie Shah, Siddhartha S Srinivasa · 2017 · arXiv (Cornell University)
  19. The Convergence of AI and animal-inspired robots for ecological conservation
    Naqash Afzal, Mobeen Ur Rehman, Lakmal D. Seneviratne, Irfan Hussain · 2024 · Ecological Informatics
  20. Human-like dexterous manipulation for anthropomorphic five-fingered hands: A review
    Yayu Huang, Dongxuan Fan, Haonan Duan, Dashun Yan, Qi Wen, Jia Sun, Qian Liu, Peng Wang · 2025 · Biomimetic Intelligence and Robotics
  21. Robotic Compliant Object Prying Using Diffusion Policy Guided by Vision and Force Observations
    Jeon Ho Kang, Sagar Joshi, Ruopeng Huang, Satyandra K. Gupta · 2025 · IEEE Robotics and Automation Letters
  22. Variable duration movement encoding with minimal intervention control
    Martijn J.A. Zeestraten, Sylvain Calinon, Darwin G. Caldwell · 2016 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  23. A geometric approach for learning compliant motions from demonstration
    Markku Suomalainen, Ville Kyrki · 2017 · IEEE-RAS International Conference on Humanoid Robots (Humanoids)
  24. Evaluating Architecture Impacts on Deep Imitation Learning Performance for Autonomous Driving
    Parham Mohsenzadeh Kebria, Roohallah Alizadehsani, Syed Moshfeq Salaken, Ibrahim Hossain, Abbas Khosravi, H M Dipu Kabir, Afsaneh Koohestani, Houshyar Asadi, Saeid Nahavandi, Edward Tunsel et al. · 2019 · IEEE International Conference on Industrial Technology (ICIT)
  25. A Comprehensive Study on Robot Learning from Demonstration
    Sushilkumar Ambhore · 2020 · International Conference on Innovative Mechanisms for Industry Applications
  26. Learning Reactive Motion Policies in Multiple Task Spaces from Human Demonstrations.
    Muhammad Asif Rana, Anqi Li, Harish Chaandar Ravichandar, Mustafa Mukadam, Sonia Chernova, Dieter Fox, Byron Boots, Nathan Ratliff · 2019 · Conference on Robot Learning
  27. Reward Learning From Very Few Demonstrations
    Cem Eteke, Doğancan Kebüde, Barış Akgün · 2020 · IEEE Transactions on Robotics
  28. Robotic Arm Motion Planning Based on Residual Reinforcement Learning
    Dongxu Zhou, Ruiqing Jia, Haifeng Yao, Mingzuo Xie · 2021 · International Conference on Computer and Automation Engineering
  29. Classical Planning in Deep Latent Space
    Masataro Asai, Hiroshi Kajino, Alex S. Fukunaga, Christian J. Muise · 2022 · Journal of Artificial Intelligence Research
  30. Predictive analytics and machine learning for medical informatics: A survey of tasks and techniques
    Deepti Lamba, William H. Hsu, Majed Alsadhan · 2021 · Elsevier eBooks
  31. A Survey of Collaborative Reinforcement Learning: Interactive Methods and Design Patterns
    Zhaoxing Li, Lei Shi, Alexandra Ioana Cristea, Yunzhan Zhou · 2021 · Designing Interactive Systems Conference
  32. Inducing structure in reward learning by learning features
    Andreea Bobu, Marius Wiggert, Claire Jennifer Tomlin, Anca D. Dragan · 2022 · The International Journal of Robotics Research
  33. Learning and Assessing Optimal Dynamic Treatment Regimes Through Cooperative Imitation Learning
    Syed Ihtesham Hussain Shah, Antonio Coronato, Muddasar Naeem, Giuseppe De Pietro · 2022 · IEEE Access
  34. Learning Gaze Behaviors for Balancing Participation in Group Human-Robot Interactions
    Sarah Gillet, Maria Teresa Parreira, Marynel Vázquez, Iolanda Leite · 2022 · ACM/IEEE International Conference on Human-Robot Interaction (HRI)
  35. Versatile Skill Control via Self-supervised Adversarial Imitation of Unlabeled Mixed Motions
    Chenhao Li, Sebastian Blaes, Pavel Kolev, Marin Vlastelica, Jonas Frey, Georg Martius · 2023 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  36. Vision-Based Autonomous Navigation for Unmanned Surface Vessel in Extreme Marine Conditions
    Muhayyuddin Ahmed, Ahsan Baidar Bakht, Taimur Hassan, Waseem Akram, Muhammad Ahmed Humais, Lakmal D. Seneviratne, Shaoming He, Defu Lin, Irfan Hussain · 2023 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  37. Fluid Imitation
    Yasser F. O. Mohammad, Toyoaki Nishida · 2012 · International Journal of Social Robotics
  38. Asymptotically Optimal Motion Planning for Learned Tasks Using Time-Dependent Cost Maps
    Chris Bowen, Ye Gu, Ron Alterovitz · 2014 · IEEE Transactions on Automation Science and Engineering
  39. Toward a user-guided manipulation framework for high-DOF robots with limited communication
    Calder Phillips-Grafflin, Nicholas Alunni, Halit Bener Suay, Jim Mainprice, Daniel M. Lofaro, Dmitry Berenson, Sonia Chernova, Robert W. Lindeman, Paul Oh · 2014 · Intelligent Service Robotics
  40. Intuitive Interaction with Robots – Technical Approaches and Challenges
    Elsa Andrea Kirchner, José de Gea Fernández, Peter Kampmann, Martin Schröer, Jan Hendrik Metzen, Frank Kirchner · 2015 · Springer eBooks
  41. Safe reinforcement learning in high-risk tasks through policy improvement
    Javier García, Fernando Fernandez Rebollo · 2011 · IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning
  42. Online, Interactive User Guidance for High-dimensional, Constrained Motion Planning
    Fahad Islam, Oren Salzman, Maxim A. Likhachev · 2018 · International Joint Conference on Artificial Intelligence
  43. Resolve Intraoperative Brain Shift as Imitation Game
    Xia Zhong, Siming Bayer, Nishant Ravikumar, Norbert K. Strobel, Annette Birkhold, Markus Kowarschik, Rebecca Fahrig, Andreas Maier · 2018 · Lecture notes in computer science
  44. Robot eye-hand coordination learning by watching human demonstrations: a task function approximation approach
    Jun Jin, Laura Petrich, Masood Dehghan, Zichen Zhang, Martin Jägersand · 2019 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  45. Kinematic Estimation with Neural Networks for Robotic Manipulators
    Michail Theofanidis, Saif Sayed, Joe Cloud, James Brady, Fillia S. Makedon · 2018 · Lecture notes in computer science
  46. Deep Learning Scooping Motion Using Bilateral Teleoperations
    Hitoe Ochi, Weiwei Wan, Yajue Yang, Natsuki Yamanobe, Jia Pan, Kensuke Harada · 2018 · International Conference on Advanced Robotics and Mechatronics (ICARM)
  47. Robot-driven Trajectory Improvement for Feeding Tasks
    Travers Rhodes, Manuela Veloso · 2018 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  48. Relationship Between Spasticity and Upper-Limb Movement Disorders in Individuals With Subacute Stroke Using Stochastic Spatiotemporal Modeling
    Isgav Davidowitz, Yisrael Parmet, Silvi Frenkel‐Toledo, Melanie C. Baniña, Nachum Soroker, John Michael Solomon, Dario G. Liebermann, Mindy F. Levin, Sigal Berman · 2019 · Neurorehabilitation and neural repair
  49. CLIC: Curriculum Learning and Imitation for Object Control in Nonrewarding Environments
    Pierre Fournier, Cédric Colas, Mohamed Chétouani, Olivier Sigaud · 2019 · IEEE Transactions on Cognitive and Developmental Systems
  50. Adversarial Imitation Learning from Incomplete Demonstrations
    Mingfei Sun, Xiaojuan Ma · 2019 · International Joint Conference on Artificial Intelligence
  51. Skill-based programming of complex robotic assembly tasks for industrial application
    Sharath Chandra Akkaladevi, Andreas Pichler, Matthias Plasch, Markus Ikeda, Michael Hofmann · 2019 · e+i Elektrotechnik und Informationstechnik
  52. Sequential Motion Primitives Recognition of Robotic Arm Task via Human Demonstration Using Hierarchical BiLSTM Classifier
    Chin‐Sheng Chen, Shih-Kang Chen, Chun-Chi Lai, Chin‐Teng Lin · 2020 · IEEE Robotics and Automation Letters
  53. Analysis of Methods for Incremental Policy Refinement by Kinesthetic Guidance
    Mihael Simonič, Tadej Petrič, Aleš Ude, Bojan Nemec · 2021 · Journal of Intelligent & Robotic Systems
  54. Deliberative acting, planning and learning with hierarchical operational models
    Sunandita Patra, James Mason, Malik Ghallab, Dana S. Nau, Paolo Traverso · 2021 · Artificial Intelligence
  55. Human Behavior Understanding for Robotics
    Albert Ali Salah, Javier Ruíz-del-Solar, Çetin Meriçli, Pierre‐Yves Oudeyer · 2012 · Lecture notes in computer science
  56. View-based teaching/playback for robotic manipulation
    Yusuke Maeda, Takahito Nakamura · 2015 · ROBOMECH Journal
  57. The Driving School System: Learning Basic Driving Skills From a Teacher in a Real Car
    Irene Markelić, Anders Kjær‐Nielsen, Karl Pauwels, Lars Baunegaard With Jensen, Nikolay Chumerin, Aušra Vidugirienė, Minija Tamošiūnaitė, Alexander Rotter, Marc M. Van Hulle, Norbert Krüger et al. · 2011 · IEEE Transactions on Intelligent Transportation Systems
  58. Inferring Intent for Novice Human-in-the-Loop Iterative Learning Control
    Rahul B. Warrier, Santosh Devasia · 2016 · IEEE Transactions on Control Systems Technology
  59. Coordinate Change Dynamic Movement Primitives — A leader-follower approach
    You Zhou, Martin Do, Tamim Asfour · 2016 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  60. Deep Reinforcement Learning for Programming Language Correction
    Gupta, Rahul, Aditya Kanade, Shirish Shevade · 2018 · arXiv (Cornell University)
  61. Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation
    Wong, Josiah, Tung, Albert, Kurenkov, Andrey, Mandlekar, Ajay, Fei-Fei, Li, Savarese, Silvio, Martín-Martín, Roberto · 2021 · arXiv
  62. Deep Learning Architecture to Assist With Steering a Powered Wheelchair
    Malik Haddad, David Adrian Sanders · 2020 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
  63. Ensemble Bootstrapped Deep Deterministic Policy Gradient for Vision-Based Robotic Grasping
    Weiwei Liu, Linpeng Peng, Junjie Cao, Xiaokuan Fu, Yong Liu, Zaisheng Pan, Jian Yang · 2021 · IEEE Access
  64. Vision-Based Learning from Demonstration System for Robot Arms
    Pin-Jui Hwang, Chen-Chien James Hsu, Po‐Yung Chou, Wei‐Yen Wang, Cheng-Hung Lin · 2022 · Sensors
  65. A digital apprentice for chatter detection in machining via human–machine interaction
    Xiaoliang Yan, Shreyes N. Melkote, Anant Kumar Mishra, Sudhir Rajagopalan · 2022 · Journal of Intelligent Manufacturing
  66. Toward Holistic Scene Understanding: A Transfer of Human Scene Perception to Mobile Robots
    Florenz Graf, Jochen Lindermayr, Çağatay Odabaşı, Marco F. Huber · 2022 · IEEE Robotics & Automation Magazine
  67. A New DMP Scaling Method for Robot Learning by Demonstration and Application to the Agricultural Domain
    Clemente Lauretti, Christian Tamantini, Loredana Zollo · 2024 · IEEE Access
  68. LEMON: Learning 3D Human-Object Interaction Relation from 2D Images
    Yuhang Yang, Wei Zhai, Hongchen Luo, Yang Hua Cao, Zheng-Jun Zha · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  69. ILBiT: Imitation Learning for Robot Using Position and Torque Information based on Bilateral Control with Transformer
    Masato Kobayashi, Thanpimon Buamanee, Yuki Uranishi, Haruo Takemura · 2024 · IEEJ Journal of Industry Applications
  70. Using informative behavior to increase engagement while learning from human reward
    Guangliang Li, Shimon Whiteson, W. Bradley Knox, Hayley Hung · 2015 · Autonomous Agents and Multi-Agent Systems
  71. Self-supervised bootstrapping of a movement primitive library from complex trajectories
    Andre Lemme, Felix Reinhart, Jochen J. Steil · 2014 · IEEE-RAS International Conference on Humanoid Robots (Humanoids)
  72. When and how to help: An iterative probabilistic model for learning assistance by demonstration
    Harold Soh, Yiannis Demiris · 2013 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  73. One-shot assistance estimation from expert demonstrations for a shared control wheelchair system
    Ayşe Küçükyılmaz, Yiannis Demiris · 2015 · IEEE RO-MAN
  74. Interactive Robot Transition Repair With SMT
    Jarrett Holtz, Arjun Guha, Joydeep Biswas · 2018 · International Joint Conference on Artificial Intelligence
  75. Active Robot Learning for Temporal Task Models
    Mattia Racca, Ville Kyrki · 2018 · ACM/IEEE International Conference on Human-Robot Interaction (HRI)
  76. RobotIST
    Yasaman S. Sefidgar, Thomas Weng, Heather Harvey, Sarah Elliott, Maya Çakmak · 2018 · Symposium on Spatial User Interaction
  77. Deep Imitation Learning: The Impact of Depth on Policy Performance
    Parham Mohsenzadeh Kebria, Abbas Khosravi, Syed Moshfeq Salaken, Ibrahim Hossain, H M Dipu Kabir, Afsaneh Koohestani, Roohallah Alizadehsani, Saeid Nahavandi · 2018 · Lecture notes in computer science
  78. Minecraft as an Experimental World for AI in Robotics.
    Krishna Chaitanya Aluru, Stefanie Tellex, John Oberlin, James MacGlashan · 2015 · National Conference on Artificial Intelligence
  79. Enabling Robots to Infer How End-Users Teach and Learn Through Human-Robot Interaction
    Dylan P. Losey, Marcia K. O’Malley · 2019 · IEEE Robotics and Automation Letters
  80. Persistent self-supervised learning: From stereo to monocular vision for obstacle avoidance
    Kevin G. van Hecke, Guido de Croon, Laurens van der Maaten, Daniel Hennes, Dario Izzo · 2018 · International Journal of Micro Air Vehicles
  81. Surgical Suture Thread Detection and 3-D Reconstruction Using a Model-Free Approach in a Calibrated Stereo Visual System
    Bo Lu, Henry K. Chu, Kaicheng Huang, Jiewen Lai · 2019 · IEEE/ASME Transactions on Mechatronics
  82. Generalizing demonstrated motion trajectories using coordinate-free shape descriptors
    Maxim Vochten, Tinne De Laet, Joris De Schutter · 2019 · Robotics and Autonomous Systems
  83. Design and analysis of a whole-body controller for a velocity controlled robot mobile manipulator
    Mantian Li, Zeguo Yang, Fusheng Zha, Xin Wang, Pengfei Wang, Li Ping, Qinyuan Ren, Fei Chen · 2020 · Science China Information Sciences
  84. Learning Soft Robotic Assembly Strategies from Successful and Failed Demonstrations
    Masashi Hamaya, Felix von Drigalski, Takamitsu Matsubara, Kazutoshi Tanaka, Robert Lee, Chisato Nakashima, Yoshiya Shibata, Yoshihisa Ijiri · 2020 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  85. LegoBot: Automated Planning for Coordinated Multi-Robot Assembly of LEGO structures
    Ludwig Nägele, Alwin Hoffmann, Andreas Schierl, Wolfgang Reif · 2020 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  86. Bimanual Haptics for Humanoid Robot Teleoperation Using ROS and V-REP
    João José Oliveira Barros, Vitor M. F. Santos, Filipe Miguel Teixeira Pereira da Silva · 2015 · IEEE International Conference on Autonomous Robot Systems and Competitions
  87. Minotaurus: A System for Affective Human–Robot Interaction in Smart Environments
    Juha Röning, Jukka Holappa, Vili Kellokumpu, Antti Tikanmäki, Matti Pietikäinen · 2014 · Cognitive Computation
  88. A practical comparison of three robot learning from demonstration algorithms
    Russell Toris, Halit Bener Suay, Sonia Chernova · 2012 · ACM/IEEE International Conference on Human-Robot Interaction (HRI)
  89. A morphable template framework for robot learning by demonstration: Integrating one-shot and incremental learning approaches
    Yan Wu, Yanyu Su, Yiannis Demiris · 2014 · Robotics and Autonomous Systems
  90. Novel Interaction Strategies for Learning from Teleoperation.
    Barış Akgün, K.A. Subramanian, Andrea L. Thomaz · 2012 · National Conference on Artificial Intelligence
  91. Language Conditioned Imitation Learning over Unstructured Data
    Lynch, Corey, Sermanet, Pierre · 2020 · arXiv
  92. Teaching Human Teachers to Teach Robot Learners
    Sena, Aran, Zhao, Yuchen, Howard, Matthew J. · 2018 · 2018 IEEE International Conference on Robotics and Automation (ICRA)
  93. Group Cognition and Collaborative AI
    Koch, Janin, Oulasvirta, Antti · 2018 · Human–Computer Interaction Series
  94. Learning few-shot imitation as cultural transmission
    Bhoopchand, Avishkar, Brownfield, Bethanie, Collister, Adrian, Dal Lago, Agustin, Edwards, Ashley, Everett, Richard, Fréchette, Alexandre, Oliveira, Yanko Gitahy, Hughes, Edward, Mathewson, Kory W. et al. · 2023 · Nature Communications
  95. A non-rigid point and normal registration algorithm with applications to learning from demonstrations
    Lee, Alex X., Goldstein, Max A., Barratt, Shane T., Abbeel, Pieter · 2015 · 2015 IEEE International Conference on Robotics and Automation (ICRA)
  96. Diffusion Policy: Visuomotor Policy Learning via Action Diffusion
    Chi, Cheng, Xu, Zhenjia, Feng, Siyuan, Cousineau, Eric, Du, Yilun, Burchfiel, Benjamin, Tedrake, Russ, Song, Shuran · 2023 · arXiv
  97. Robobarista: Object part-based transfer of manipulation trajectories from crowd-sourcing in 3d pointclouds
    Sung, Jaeyong, Jin, Seok Hyun, Saxena, Ashutosh · 2018 · Springer Proceedings in Advanced Robotics
  98. Observational Learning by Reinforcement Learning
    Borsa, Diana, Heess, Nicolas, Piot, Bilal, Liu, Siqi, Hasenclever, Leonard, Munos, Remi, Pietquin, Olivier · 2019 · International Joint Conference on Autonomous Agents and Multiagent Systems
  99. Cross-robot behavior adaptation through intention alignment
    Chen, Xi, Gao, Yuan, Liu, Hangxin, Yang, Fangkai, Ghadirzadeh, Ali, Yang, Jun, Liang, Bin, Zhang, Chongjie, Lam, Tin Lun, Zhu, Song-Chun · 2026 · Science Robotics
  100. Untitled work
    2015 · Journal of Machine Learning Research