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 201–300 of 1,009

  1. Learning Reward Functions by Integrating Human Demonstrations and Preferences
    Malayandi Palan, Gleb Shevchuk, Nicholas C. Landolfi, Dorsa Sadigh · 2019 · Robotics: Science and Systems
  2. Taxonomy of Trust-Relevant Failures and Mitigation Strategies
    Tolmeijer, Suzanne, Weiss, Astrid, Hanheide, Marc, Lindner, Felix, Powers, Thomas M., Dixon, Clare, Tielman, Myrthe L. · 2020 · Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction
  3. AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos
    Smith, Laura, Dhawan, Nikita, Zhang, Marvin, Abbeel, Pieter, Levine, Sergey · 2020 · Robotics: Science and Systems XVI
  4. From data to optimal decision making: a data-driven, probabilistic machine learning approach to decision support for patients with sepsis
    Tsoukalas, Athanasios, Albertson, Timothy, Tagkopoulos, Ilias · 2015 · JMIR Medical Informatics
  5. Game-Theoretic Modeling of Human Adaptation in Human-Robot Collaboration
    Stefanos Nikolaidis, Swaprava Nath, Ariel D. Procaccia, Siddhartha Srinivasa · 2017 · ACM/IEEE International Conference on Human-Robot Interaction (HRI)
  6. Online Trajectory Planning and Force Control for Automation of Surgical Tasks
    Takayuki Osa, Naohiko Sugita, Mamoru Mitsuishi · 2017 · IEEE Transactions on Automation Science and Engineering
  7. A Survey of Knowledge Representation in Service Robotics
    D. Paulius, Yu Sun · 2018 · Robotics Auton. Syst.
  8. Recent Trends in Task and Motion Planning for Robotics: A Survey
    Huihui Guo, Fan Wu, Yunchuan Qin, Ruihui Li, Keqin Li, Kenli Li · 2023 · ACM Computing Surveys
  9. EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning
    Kunal Menda, Katherine Driggs-Campbell, Mykel J. Kochenderfer · 2019 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  10. Language Conditioned Imitation Learning Over Unstructured Data
    Lynch*, Corey, Sermanet*, Pierre · 2021 · Robotics: Science and Systems XVII
  11. Exploring Structure-aware Transformer over Interaction Proposals for Human-Object Interaction Detection
    Yong Zhang, Yingwei Pan, Ting Yao, Rui Huang, Tao Mei, Chang‐Wen Chen · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  12. Motion capture in robotics review
    Matthew Field, David A. Stirling, Fazel Naghdy, Zengxi Stephen Pan · 2009 · International Conference on Control and Automation
  13. Efficient Model Learning from Joint-Action Demonstrations for Human-Robot Collaborative Tasks
    Stefanos Nikolaidis, Ramya Ramakrishnan, Keren Gu, Julie Shah · 2015 · ACM/IEEE International Conference on Human-Robot Interaction (HRI)
  14. Generative Adversarial Imitation from Observation
    Faraz Torabi, Garrett Warnell, Peter Stone · 2018 · arXiv (Cornell University)
  15. Synchrony and Reciprocity: Key Mechanisms for Social Companion Robots in Therapy and Care
    Tamara Lorenz, Astrid Weiss, Sandra Hirche · 2015 · International Journal of Social Robotics
  16. GELLO: A General, Low-Cost, and Intuitive Teleoperation Framework for Robot Manipulators
    Philipp Wu, Yide Shentu, Zhongke Yi, Xingyu Lin, Pieter Abbeel · 2024 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  17. Incremental Semantically Grounded Learning from Demonstration
    Scott Niekum, Sachin Chitta, Andrew G. Barto, Bhaskara Marthi, Sarah Osentoski · 2013 · Robotics: Science and Systems
  18. Teaching Multiple Tasks to an RL Agent using LTL
    Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Valenzano, Sheila A. McIlraith · 2018 · Adaptive Agents and Multi-Agents Systems
  19. Autonomous Vehicles: State of the Art, Future Trends, and Challenges
    Piergiuseppe Mallozzi, Patrizio Pelliccione, Alessia Knauss, Christian Berger, Nassar Mohammadiha · 2019 · Springer eBooks
  20. A robot made of robots: Emergent transport and control of a smarticle ensemble
    William Savoie, Thomas A. Berrueta, Zachary Jackson, Ana Pervan, Ross Warkentin, Shengkai Li, Todd D. Murphey, Kurt A. Wiesenfeld, Daniel I. Goldman · 2019 · Science Robotics
  21. Generating Legible Motion
    Anca D. Dragan, Siddhartha S Srinivasa · 2018
  22. Unsupervised Cross-Domain Transfer in Policy Gradient Reinforcement Learning via Manifold Alignment
    Haitham Bou Ammar, Eric Eaton, Paul Ruvolo, Matthew Edmund Taylor · 2015 · Proceedings of the AAAI Conference on Artificial Intelligence
  23. Learning optimal controllers in human-robot cooperative transportation tasks with position and force constraints
    Leonel Dario Rozo, Danilo Bruno, Sylvain Calinon, Darwin G. Caldwell · 2015 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  24. Explainable Embodied Agents Through Social Cues
    Sebastian Wallkötter, Silvia Tulli, Ginevra Castellano, Ana Paiva, Mohamed Chétouani · 2021 · ACM Transactions on Human-Robot Interaction
  25. Improved human–robot team performance through cross-training, an approach inspired by human team training practices
    Stefanos Nikolaidis, Przemyslaw A. Lasota, Ramya Ramakrishnan, Julie Shah · 2015 · The International Journal of Robotics Research
  26. Untitled work
    2021 · Journal of Machine Learning Research
  27. Sequential Anomaly Detection using Inverse Reinforcement Learning
    Min-hwan Oh, Garud Iyengar · 2019 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
  28. Kinesthetic teaching and attentional supervision of structured tasks in human–robot interaction
    Riccardo Caccavale, Matteo Saveriano, Alberto Finzi, Dongheui Lee · 2018 · Autonomous Robots
  29. Incremental learning of subtasks from unsegmented demonstration
    Daniel H. Grollman, Odest Chadwicke Jenkins · 2010 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  30. Robot Programming by Demonstration with Interactive Action Visualizations
    Sonya Alexandrova, Maya Çakmak, Kaijen Hsiao, Leila A. Takayama · 2014 · Robotics: Science and Systems
  31. Evolution of Surgical Robot Systems Enhanced by Artificial Intelligence: A Review
    Yanzhen Liu, Xinbao Wu, Yudi Sang, Chunpeng Zhao, Yu Wang, Bojing Shi, Yubo Fan · 2024 · Advanced Intelligent Systems
  32. Interactive Hierarchical Task Learning from a Single Demonstration
    Anahita Mohseni-Kabir, Charles Rich, Sonia Chernova, Candace L. Sidner, Daniel Miller · 2015 · ACM/IEEE International Conference on Human-Robot Interaction (HRI)
  33. Learning Behavior Trees From Demonstration
    Kevin French, Shiyu Wu, Tianyang Pan, Zheming Zhou, Odest Chadwicke Jenkins · 2019 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  34. Learning From Naturalistic Driving Data for Human-Like Autonomous Highway Driving
    Donghao Xu, Zhezhang Ding, He Xu, Huijing Zhao, Mathieu Moze, François Aioun, Franck Guillemard · 2020 · IEEE Transactions on Intelligent Transportation Systems
  35. Learning preferences for manipulation tasks from online coactive feedback
    Ashesh Jain, Shikhar Sharma, T. Joachims, Ashutosh Saxena · 2015 · Int. J. Robotics Res.
  36. Compare Contact Model-based Control and Contact Model-free Learning: A Survey of Robotic Peg-in-hole Assembly Strategies
    Jing Lin Xu, Zhimin Hou, Zhi Liu, Hong Qiao · 2019 · arXiv (Cornell University)
  37. The Surprising Effectiveness of Representation Learning for Visual Imitation
    Pari, Jyothish, Shafiullah, Nur Muhammad (Mahi), Arunachalam, Sridhar Pandian, Pinto, Lerrel · 2022 · Robotics: Science and Systems XVIII
  38. Online learning of varying stiffness through physical human-robot interaction
    Klas Kronander, Aude Billard · 2012 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  39. C-LEARN: Learning geometric constraints from demonstrations for multi-step manipulation in shared autonomy
    Claudia Pérez-D’Arpino, Julie Shah · 2017 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  40. Safe Exploration of State and Action Spaces in Reinforcement Learning
    J. Garcia, F. Fernandez · 2012 · Journal of Artificial Intelligence Research
  41. Functional object-oriented network for manipulation learning
    David Paulius, Yongqiang Huang, Roger Milton, William D. Buchanan, Jeanine Sam, Yu Sun · 2016 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  42. Robot Expressive Motions
    Gentiane Venture, Dana Kulić · 2019 · ACM Transactions on Human-Robot Interaction
  43. Bridging the Gap Between Imitation Learning and Inverse Reinforcement Learning
    Bilal Piot, Matthieu Geist, Olivier Pietquin · 2016 · IEEE Transactions on Neural Networks and Learning Systems
  44. Software engineering challenges for machine learning applications: A literature review
    Kumeno, Fumihiro · 2020 · Intelligent Decision Technologies
  45. Goal-Conditioned Imitation Learning using Score-based Diffusion Policies
    Moritz Reuss, Maximilian Xiling Li, Xiaogang Jia, Rudolf Lioutikov · 2023 · Robotics: Science and Systems
  46. Demonstration-Guided Motion Planning
    Ye Gu, Ron Alterovitz · 2016 · Springer tracts in advanced robotics
  47. Transition state clustering: Unsupervised surgical trajectory segmentation for robot learning
    Sanjay Krishnan, Animesh Garg, Sachin Patil, Colin Lea, Gregory D. Hager, Pieter Abbeel, Ken Y. Goldberg · 2017 · The International Journal of Robotics Research
  48. Learning From Explanations Using Sentiment and Advice in RL
    Samantha Krening, Brent E. Harrison, Karen M. Feigh, Charles Lee Isbell, Mark Owen Riedl, Andrea L. Thomaz · 2016 · IEEE Transactions on Cognitive and Developmental Systems
  49. A review of recent trend in motion planning of industrial robots
    Mehran Ghafarian Tamizi, Marjan Yaghoubi, Homayoun Najjaran · 2023 · International Journal of Intelligent Robotics and Applications
  50. Safe Exploration Techniques for Reinforcement Learning – An Overview
    Martin Pecka, Tomáš Svoboda · 2014 · Lecture notes in computer science
  51. Challenges in Perception and Decision Making for Intelligent Automotive Vehicles: A Case Study
    Bunyo Okumura, Michael R. James, Yusuke Kanzawa, Matthew Derry, Katsuhiro Sakai, Tomoki Nishi, Danil V. Prokhorov · 2016 · IEEE Transactions on Intelligent Vehicles
  52. How Humans Teach Agents
    W. Bradley Knox, Brian D. Glass, Bradley C. Love, W. Todd Maddox, Peter Stone · 2012 · International Journal of Social Robotics
  53. Learning behaviors via human-delivered discrete feedback: modeling implicit feedback strategies to speed up learning
    Robert Loftin, Bei Peng, James MacGlashan, Michael L. Littman, Matthew Edmund Taylor, Jeff J. S. Huang, David L. Roberts · 2015 · Autonomous Agents and Multi-Agent Systems
  54. Donut as I do: Learning from failed demonstrations
    Daniel H. Grollman, Aude Billard · 2011 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  55. Policy search in continuous action domains: An overview
    Olivier Sigaud, Freek Stulp · 2019 · Neural Networks
  56. Robotics in construction: A critical review of the reinforcement learning and imitation learning paradigms
    Juan Manuel Dávila Delgado, Lukumon O. Oyedele · 2022 · Advanced Engineering Informatics
  57. Teleoperation and Beyond for Assistive Humanoid Robots
    Michael A. Goodrich, Jacob W. Crandall, Emilia Ivanova Barakova · 2013 · Reviews of Human Factors and Ergonomics
  58. Motion Planning Based on Learning From Demonstration for Multiple-Segment Flexible Soft Robots Actuated by Electroactive Polymers
    Hongqiang Wang, Jie Chen, Henry Y. K. Lau, Hongliang Ren · 2016 · IEEE Robotics and Automation Letters
  59. Implicit Intention Communication in Human–Robot Interaction Through Visual Behavior Studies
    Songpo Li, Xiaoli Zhang · 2017 · IEEE Transactions on Human-Machine Systems
  60. Safe Exploration of State and Action Spaces in Reinforcement Learning
    Javier García, Fernando Fernández · 2013
  61. Concept2Robot: Learning manipulation concepts from instructions and human demonstrations
    Lin Shao, Toki Migimatsu, Qiang Zhang, Karen Yang, Jeannette Bohg · 2021 · The International Journal of Robotics Research
  62. Robot Cooking With Stir-Fry: Bimanual Non-Prehensile Manipulation of Semi-Fluid Objects
    Junjia Liu, Yi-Ting Chen, Zhipeng Dong, Shixiong Wang, Sylvain Calinon, Miao Li, Fei Chen · 2022 · IEEE Robotics and Automation Letters
  63. Constructing Skill Trees for Reinforcement Learning Agents from Demonstration Trajectories
    George Konidaris, Scott Kuindersma, Roderic A. Grupen, André Sales Barreto · 2010 · ScholarWorks@UMassAmherst (University of Massachusetts Amherst)
  64. Barrier-Certified Adaptive Reinforcement Learning With Applications to Brushbot Navigation
    Motoya Ohnishi, Li Wang, Gennaro Notomista, Magnus Egerstedt · 2019 · IEEE Transactions on Robotics
  65. Integration of Machine Learning and Optimization for Robot Learning
    Amir Hosein Mosavi, Annamária R. Várkonyi-Kóczy · 2016 · Advances in intelligent systems and computing
  66. Imitation Learning as f-Divergence Minimization
    Liyiming Ke, Sanjiban Choudhury, Matt Barnes, Wen Yao Sun, Gilwoo Lee, Siddhartha S Srinivasa · 2021 · Springer proceedings in advanced robotics
  67. Learning and Personalizing Socially Assistive Robot Behaviors to Aid with Activities of Daily Living
    Christina Moro, Goldie Nejat, Alex Mihailidis · 2018 · ACM Transactions on Human-Robot Interaction
  68. Algorithmic and Human Teaching of Sequential Decision Tasks
    Maya Çakmak, Manuel C. Lopes · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
  69. Reinforcement learning agents providing advice in complex video games
    Matthew Edmund Taylor, Nicholas Carboni, Anestis Fachantidis, Ioannis P. Vlahavas, Lisa A. Torrey · 2014 · Connection Science
  70. Learning from Physical Human Corrections, One Feature at a Time
    Andrea V. Bajcsy, Dylan P. Losey, Marcia K. O’Malley, Anca D. Dragan · 2018 · ACM/IEEE International Conference on Human-Robot Interaction (HRI)
  71. A Hierarchical Architecture for Human–Robot Cooperation Processes
    Kourosh Darvish, Enrico Simetti, Fulvio Mastrogiovanni, Giuseppe Casalino · 2021 · CINECA IRIS Institutial Research Information System (University of Genoa)
  72. A Mobile Robot Hand-Arm Teleoperation System by Vision and IMU
    Shuang Li, Jiaxi Jiang, Philipp Ruppel, Hongzhuo Liang, Xiaojian Ma, Norman Hendrich, Fuchun Sun, Jianwei Zhang · 2020 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  73. A Framework for Manipulating Deformable Linear Objects by Coherent Point Drift
    Te Tang, Changhao Wang, Masayoshi Tomizuka · 2018 · IEEE Robotics and Automation Letters
  74. Solving peg-in-hole tasks by human demonstration and exception strategies
    Fares J. Abu‐Dakka, Bojan Nemec, Aljaž Kramberger, Anders Glent Buch, Norbert Krüger, Aleš Ude · 2014 · Industrial Robot the international journal of robotics research and application
  75. Fast motion planning from experience: trajectory prediction for speeding up movement generation
    Nikolay Jetchev, Marc Toussaint · 2013 · Autonomous Robots
  76. Translating Videos to Commands for Robotic Manipulation with Deep Recurrent Neural Networks
    Anh Nguyen, Dimitrios Kanoulas, Luca Muratore, Darwin G. Caldwell, Nikos G. Tsagarakis · 2018 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  77. Instructable Intelligent Personal Agent
    Azaria, Amos, Krishnamurthy, Jayant, Mitchell, Tom · 2016 · Proceedings of the AAAI Conference on Artificial Intelligence
  78. Learning control lyapunov functions from counterexamples and demonstrations
    Hadi Ravanbakhsh, Sriram Sankaranarayanan · 2018 · Autonomous Robots
  79. Active learning in robotics: A review of control principles
    Annalisa Taylor, Thomas A. Berrueta, Todd D. Murphey · 2021 · Mechatronics
  80. Untitled work
    2012
  81. A system for learning continuous human-robot interactions from human-human demonstrations
    David Vogt, Simon Stepputtis, Steve Grehl, Bernhard Jung, Heni Ben Amor · 2017 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  82. Learning Trajectory Preferences for Manipulators via Iterative Improvement
    Ashesh Jain, Brian Wojcik, Thorsten Joachims, Ashutosh Saxena · 2013 · arXiv (Cornell University)
  83. Fast and Stable Learning of Dynamical Systems Based on Extreme Learning Machine
    Jianghua Duan, Yongsheng Ou, Jianbing Hu, Zhiyang Wang, Shaokun Jin, Chao Xu · 2017 · IEEE Transactions on Systems Man and Cybernetics Systems
  84. Blossom
    Michael Suguitan, Guy Hoffman · 2019 · ACM Transactions on Human-Robot Interaction
  85. Model-Free Online Neuroadaptive Controller With Intent Estimation for Physical Human–Robot Interaction
    Sven Cremer, Sumit Kumar Das, Indika B. Wijayasinghe, Dan O. Popa, Frank L. Lewis · 2019 · IEEE Transactions on Robotics
  86. Integrating human observer inferences into robot motion planning
    Anca D. Dragan, Siddhartha S Srinivasa · 2014 · Autonomous Robots
  87. Learning the skill of archery by a humanoid robot iCub
    Petar S. Kormushev, Sylvain Calinon, Ryo Saegusa, Giorgio Metta B · 2010 · IEEE-RAS International Conference on Humanoid Robots (Humanoids)
  88. Transition State Clustering: Unsupervised Surgical Trajectory Segmentation for Robot Learning
    Sanjay Krishnan, Animesh Garg, Sachin Patil, Colin Lea, Gregory D. Hager, Pieter Abbeel, Ken Y. Goldberg · 2017 · Springer proceedings in advanced robotics
  89. Deep Local Trajectory Replanning and Control for Robot Navigation
    Ashwini Pokle, Roberto Martín-Martín, Patrick Goebel, Vincent Chow, Hans M. Ewald, Junwei Yang, Zhenkai Wang, Amir Sadeghian, Dorsa Sadigh, Silvio Savarese et al. · 2019 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  90. Learning and Comfort in Human–Robot Interaction: A Review
    Weitian Wang, Yi Chen, Rui Li, Yunyi Jia · 2019 · Applied Sciences
  91. Bibliometric Analysis of Social Robotics Research: Identifying Research Trends and Knowledgebase
    Cristian Mejía, Yuya Kajikawa · 2017 · Applied Sciences
  92. Robot grasping in clutter: Using a hierarchy of supervisors for learning from demonstrations
    Michael Laskey, Jonathan Lee, Caleb Chuck, David V. Gealy, Wesley Yu-Shu Hsieh, Florian T. Pokorny, Anca D. Dragan, Ken Y. Goldberg · 2016 · IEEE International Conference on Automation Science and Engineering (CASE)
  93. AGIL: Learning Attention from Human for Visuomotor Tasks
    Ruohan Zhang, Zhuode Liu, Luxin Zhang, Jake Alden Whritner, Karl Muller, Mary Hayhoe, Dana H. Ballard · 2018 · Lecture notes in computer science
  94. Recent Advances in Deep Reinforcement Learning Applications for Solving Partially Observable Markov Decision Processes (POMDP) Problems: Part 1—Fundamentals and Applications in Games, Robotics and Natural Language Processing
    Xuanchen Xiang, Simon Y. Foo · 2021 · Machine Learning and Knowledge Extraction
  95. Showing versus Doing: Teaching by Demonstration
    Mark K. Ho, Michael L. Littman, James MacGlashan, Fiery Andrews Cushman, Joseph L. Austerweil · 2026 · arXiv (Cornell University)
  96. Asking Easy Questions: A User-Friendly Approach to Active Reward Learning
    Erdem Biyik, Malayandi Palan, Nicholas C. Landolfi, Dylan P. Losey, Dorsa Sadigh · 2019 · Conference on Robot Learning
  97. Towards Robust Skill Generalization: Unifying Learning from Demonstration and Motion Planning.
    Muhammad Asif Rana, Mustafa Mukadam, S. Reza Ahmadzadeh, Sonia Chernova, Byron Boots · 2017 · Conference on Robot Learning
  98. Multi-Robot Dynamic Task Allocation for Exploration and Destruction
    Wei Dai, Huimin Lu, Junhao Xiao, Zhiwen Zeng, Zhiqiang Zheng · 2019 · Journal of Intelligent & Robotic Systems
  99. Smart hardware integration with advanced robot programming technologies for efficient reconfiguration of robot workcells
    Timotej Gašpar, Miha Deniša, Primož Radanovič, Barry Ridge, Thiusius Rajeeth Savarimuthu, Aljaž Kramberger, Marc Priggemeyer, Jürgen Roßmann, Florentin Wörgötter, Tatyana Ivanovska et al. · 2020 · Robotics and Computer-Integrated Manufacturing
  100. Leveraging Human Guidance for Deep Reinforcement Learning Tasks
    Ruohan Zhang, Faraz Torabi, Lin Guan, Dana H. Ballard, Peter Stone · 2019 · International Joint Conference on Artificial Intelligence