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1865 result(s) for “Learning from Demonstration” Page 1 of 38
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An Alignment-Based Approach to Learning Motions from Demonstrations AI summary
Alex Cuellar, Christopher K Fourie, Julie A. Shah
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EgoMI: Learning Active Vision and Whole-Body Manipulation from Egocentric Human Demonstrations AI summary
Justin Yu, Yide Shentu, Di Wu, Pieter Abbeel, Ken Goldberg, Shiyao Wu
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Flow with the Force Field: Learning 3D Compliant Flow Matching Policies from Force and Demonstration-Guided Simulation Data AI summary
Tianyu Li, Yihan Li, Zizhe Zhang, Nadia Figueroa
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Generative Adversarial Imitation Learning for Robot Swarms: Learning from Human Demonstrations and Trained Policies AI summary
Mattes Kraus, Jonas Kuckling
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ILCL: Inverse Logic-Constraint Learning from Temporally Constrained Demonstrations AI summary
Minwoo Cho, Jaehwi Jang, Daehyung Park
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Learning Constraint-Aware Dynamical Systems from Human Demonstrations for Constrained Manipulation Tasks AI summary
Soyoun Sung, Keehoon Kim
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Learning Dynamical System-Based Robot Motions from Demonstrations Via ODE-Driven Diffeomorphic Mappings AI summary
Haoyu Zhang, Long Cheng
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Learning Neural Control Barrier Functions from Expert Demonstrations Using Inverse Constraint Learning AI summary
Yuxuan Yang, Hussein Sibai
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Learning Quadruped Walking from Seconds of Demonstration AI summary
Ruipeng Zhang, Hongzhan Yu, Ya-Chien Chang, Chenghao Li, Henrik I. Christensen, Sicun Gao
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Learning from Demonstrations Over Riemannian Manifolds Using Neural ODEs AI summary
Diana Gerlid Cuervo Espinosa, Mahathi Anand, Angela P. Schoellig
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OHMM-PA: A Learning from Demonstration Approach Using Online Hidden Markov Models with Path Planning AI summary
Jan Irsperger, Diego Fernandez Prado, and Eckehard Steinbach
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RoboPCA: Pose-Centered Affordance Learning from Human Demonstrations for Robot Manipulation AI summary
Zhanqi Xiao, Ruiping Wang, Xilin Chen
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Task Generalization with Pathwise Conditioning of Gaussian Process for Learning from Demonstration AI summary
Adrian Prados, Gonzalo Espinoza, Alberto Mendez, Ramon Barber
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Generate, Transfer, Adapt: Learning Functional Dexterous Grasping from a Single Human Demonstration AI summary
Xingyi He, Adhitya Polavaram, Yunhao Cao, Om Deshmukh, Tianrui Wang, Xiaowei Zhou, Kuan Fang
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Learning Conservative Neural Control Barrier Functions from Demonstrations AI summary
Ihab Tabbara, Hussein Sibai
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Learning Social Navigation from Positive and Negative Demonstrations and Rule-Based Specifications AI summary
Chanwoo Kim, JiHwan Yoon, Hyeonseong Kim, Taemoon Jeong, Changwoo Yoo, Seungbeen Lee, SooHwan Byeon, Hoon Chung, Matthew Pan, Jean Oh, Kyungjae Lee, Sungjoon Choi
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Learning Unified Probabilistic Spatial Relation Representation from Visual Demonstrations AI summary
Paul Emil Hannuschka, Jianfeng Gao, Tamim Asfour
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R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations AI summary
Connor Mattson, Varun Raveendra, Ellen Novoseller, Nicholas Waytowich, Vernon Lawhern, Daniel Brown
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Better Than Diverse Demonstrators: Reward Decomposition from Suboptimal and Heterogeneous Demonstrations AI summary
Chunyue Xue, Letian Chen, Matthew Gombolay
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Beyond the Teacher: Leveraging Mixed-Skill Demonstrations for Robust Imitation Learning AI summary
Saharsh Saharsh, Shubham Sonkar, Pushpak Jagtap, Ravi Prakash
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CoDex: Learning Compositional Dexterous Functional Manipulation without Demonstrations AI summary
Bowen Jiang [University of Texas at Austin], William Reger [University of Texas at Austin], Roberto Martín-Martín [University of Texas at Austin]
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DemoBot: Efficient Learning of Bimanual Manipulation with Dexterous Hands from Third-Person Human Videos AI summary
Yucheng Xu, Xiaofeng Mao, Elle Miller, Yang Li, Xinyu Yi, Zhibin (Alex) Li, Robert Fisher
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EasyMimic: A Low-Cost Framework for Robot Imitation Learning from Human Videos AI summary
Tao Zhang, Song Xia, Ye Wang, Qin Jin
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Flow-Enabled Generalization to Human Demonstrations in Few-Shot Imitation Learning AI summary
Runze Tang, Penny Sweetser
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From Demonstrations to Safe Deployment: Path-Consistent Safety Filtering for Diffusion Policies AI summary
Ralf Römer, Julian Balletshofer, Jakob Thumm, Marco Pavone, Angela P. Schoellig, Matthias Althoff
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Human2Nav: Learning Crowd Navigation from Human Videos across Robots Via Feasibility-Guided Flow Matching AI summary
Shenghong Zhang, JunJie Chen, Sichi Yan, Yutong Ban, Xiao Li
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ILeSiA: Interactive Learning of Robot Situational Awareness from Camera Input AI summary
Petr Vanc, Giovanni Franzese, Jan Kristof Behrens, Cosimo Della Santina, Karla Stepanova, Jens Kober, Robert Babuska
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Joint Flow Trajectory Optimization for Feasible Robot Motion Generation from Video Demonstrations AI summary
Xiaoxiang Dong, Matthew Johnson-Roberson, Weiming Zhi
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Learning Generalizable Robot Policy with Human Demonstration Video as a Prompt AI summary
Xiang Zhu, Yichen Liu, Hezhong Li, Jianyu Chen
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Learning Sidewalk Autopilot from Multi-Scale Imitation with Corrective Behavior Expansion AI summary
Honglin He, Yukai Ma, Brad Squicciarini, Wayne Wu, Bolei Zhou
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Masked IRL: LLM-Guided Reward Disambiguation from Demonstrations and Language AI summary
Minyoung Hwang, Alexandra Forsey-Smerek, Nathaniel Dennler, Andreea Bobu
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PokeNet: Learning Kinematic Models of Articulated Objects from Human Observations AI summary
Anmol Gupta, Weiwei Gu, Omkar Deepak Patil, Jun Ki Lee, Nakul Gopalan
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Quality over Quantity: Demonstration Curation via Influence Functions for Data-Centric Robot Learning AI summary
Haeone Lee, Taywon Min, Junsu Kim, Sinjae Kang, Fangchen Liu, Lerrel Pinto, Kimin Lee
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Rainbow-DemoRL: Combining Improvements in Demonstration-Augmented Reinforcement Learning AI summary
Dwait Bhatt, Shih-Chieh Chou, Nikolay Atanasov
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Scaling Single Human Demonstrations for Imitation Learning Using Generative Foundational Models AI summary
Nick Heppert, Minh Quang Nguyen, Abhinav Valada
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TARAD: Task-Aware Robot Affordance-Centric Diffusion Policy Learned from LLM-Generated Demonstrations AI summary
Site Hu, Takayuki Nagai, Takato Horii
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AMPLIFY: Actionless Motion Priors for Robot Learning from Videos AI summary
Jeremy Collins, Lorand Cheng, Kunal Aneja, Albert Wilcox, Benjamin Joffe, Animesh Garg
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Actron3D: Learning Actionable Neural Functions from Videos for Transferable Robotic Manipulation AI summary
Anran Zhang, Hanzhi Chen, Yannick Burkhardt, Yao Zhong, Johannes Betz, Helen Oleynikova, Stefan Leutenegger
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Demonstration-Augmented Deep Reinforcement Learning with Mixed Reality Human-In-The-Loop Guidance AI summary
Mohammad-Ehsan Matour, Alexander Winkler
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Dexterity from Smart Lenses: Multi-Fingered Robot Manipulation with In-The-Wild Human Demonstrations AI summary
Irmak Guzey, Haozhi Qi, Julen Urain, Changhao Wang, Jessica Yin, Chaithanya Krishna Bodduluri, Mike Maroje Lambeta, Lerrel Pinto, Akshara Rai, Jitendra Malik, Tingfan Wu, Akash Sharma, Homanga Bharadhwaj
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DynaFlow: Dynamics-Embedded Flow Matching for Physically Consistent Motion Generation from State-Only Demonstrations AI summary
Sowoo Lee, Dongyun Kang, Jaehyun Park, Hae-Won Park
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Grasp Like Humans: Learning Generalizable Multi-Fingered Grasping from Human Proprioceptive Sensorimotor Integration AI summary
Ce Guo, Xieyuanli Chen, Zhiwen Zeng, Zirui Guo, YiHong Li, Haoran Xiao, Dewen Hu, Huimin Lu
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Influence of Gripper Design on Human Demonstration Quality for Robot Learning AI summary
Gina Georgadarellis, Natalija Beslic, Seonhun Lee, Frank Sup IV, Meghan Huber
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Learning Dexterous Manipulation Skills from Imperfect Simulations AI summary
Elvis Hsieh, Wen-Han Hsieh, Yen-Jen Wang, Toru Lin, Jitendra Malik, Koushil Sreenath, Haozhi Qi
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Learning Therapist Policy from Therapist-Exoskeleton-Patient Interaction AI summary
Grayson Snyder, Lorenzo Vianello, Levi Hargrove, Matthew Elwin, Jose L. Pons
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Masquerade: Learning from In-The-Wild Human Videos Using Data-Editing AI summary
Marion Lepert, Jiaying Fang, Jeannette Bohg
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MimicDroid: In-Context Learning for Humanoid Robot Manipulation from Human Play Videos AI summary
Rutav Shah, Shuijing Liu, Qi Wang, Zhenyu Jiang, Sateesh Kumar, Mingyo Seo, Roberto Martín-Martín, Yuke Zhu
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PLOP: Particle Filtering for Learning Object Physics from Robot Interaction Videos AI summary
Junyu Nan, Sergey Zakharov, Kris Kitani
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Prepare before You Act: Learning from Humans to Rearrange Initial States AI summary
Yinlong Dai, Andre Keyser, Dylan Losey
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Proprioceptive Image: An Image Representation of Proprioceptive Data from Quadruped Robots for Contact Estimation Learning AI summary
Gabriel Fischer Abati, João Carlos Virgolino Soares, Giulio Turrisi, Victor Barasuol, Claudio Semini
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