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1836 result(s) for “Learning from Demonstration” Page 1 of 37
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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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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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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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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 Generalizable Robot Policy with Human Demonstration Video as a Prompt AI summary
Xiang Zhu, Yichen Liu, Hezhong Li, Jianyu Chen
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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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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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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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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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Demonstration-Augmented Deep Reinforcement Learning with Mixed Reality Human-In-The-Loop Guidance AI summary
Mohammad-Ehsan Matour, Alexander Winkler
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LLM Trainer: Automated Robotic Data Generating Via Demonstration Augmentation Using LLMs AI summary
Abraham George, Amir Barati Farimani
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A Passivity-Based Framework for Dynamic Arbitration between Trajectory and Force Tracking using Human Demonstration AI summary
Yeoil Yun, Youngwuk Kim, Junchul Gwak, Hyungpil Moon, Hyouk Ryeol Choi, Ja Choon Koo
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Learning Contact Tasks Skills Based on DMP and Affordance Templates AI summary
Hunjo Lee, Gi-Hun Yang
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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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Hierarchical Grid-Based Sensor Pose Extraction for Demonstration Dataset Generation AI summary
Doyu Lim, Chaewon Park, Soohee Han
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Behavior-Controllable Stable Dynamics Models on Riemannian Configuration Manifolds AI summary
Byeongho Lee, Yonghyeon Lee, Junsu Ha, Frank Park
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Video-To-BT: Generating Reactive Behavior Trees from Human Demonstration Videos for Robotic Assembly AI summary
Xiwei Zhao, Yiwei Wang, Yansong Wu, Fan Wu, Teng Sun, Zhonghua Miao, Sami Haddadin, Alois Knoll
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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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DRAW2ACT: Turning Depth-Encoded Trajectories into Robotic Demonstration Videos AI summary
Yang Bai, Liudi Yang, George Eskandar, Fengyi Shen, Mohammad Altillawi, Ziyuan Liu, Gitta Kutyniok
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RAMPA: Robotic Augmented Reality for Machine Programming by DemonstrAtion AI summary
Fatih DOGANGUN, Serdar Bahar, Yigit YILDIRIM, Bora Toprak Temir, Emre Ugur, Mustafa Doga Dogan
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OCRA: Object-Centric Learning with 3D and Tactile Priors for Human-To-Robot Action Transfer AI summary
Kuanning Wang, Ke Fan, Yuqian Fu, Siyu Lin, Hu Luo, Daniel Seita, Yanwei Fu, Yu-Gang Jiang, Xiangyang Xue
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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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Learning Constraint-Aware Dynamical Systems from Human Demonstrations for Constrained Manipulation Tasks AI summary
Soyoun Sung, Keehoon Kim
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MIMO: A Multimodal Imitation Learning Framework for Mobile Manipulation with Exoskeleton-VR Teleoperation AI summary
Jie Mei, Xinkai Wu, Yue Zhang, Tao Song, Zhongxia Xiong
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Robot Deformable Object Manipulation Via NMPC-Generated Demonstrations in Deep Reinforcement Learning AI summary
Haoyuan Wang, Zihao Dong, Tong Zhu, HongLiang Lei, Weizhuang Shi, Zejia Zhang, Wei Luo, Weiwei Wan, Xinxing Chen, Jian Huang
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Planning-Guided Diffusion Policy Learning for Contact-Rich Bimanual Object Reorientation AI summary
Xuanlin Li, Tong Zhao, Bo Ai, Xinghao Zhu, Jiuguang Wang, Tao Pang, Kuan Fang
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Screw Geometry Meets Bandits: Incremental Acquisition of Demonstrations to Generate Manipulation Plans AI summary
Dibyendu Das, Aditya Patankar, Nilanjan Chakraborty, C. R. Ramakrishnan, I. V. Ramakrishnan
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One-Shot Cross-Geometry Skill Transfer through Part Decomposition AI summary
Rory Thompson, Ondrej Biza, George Konidaris
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RoboCade: Gamifying Robot Data Collection AI summary
Suvir Mirchandani, Mia Tang, Jiafei Duan, Jubayer Hamid, Chung Yeung Michael Cho, Dorsa Sadigh
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GPT-PDDL: Towards Executable Robot Task Planning AI summary
Chang Sik Lee, Hye-Kyung Cho, SUJEONG YOU
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Task-Parameterized Motion Learning with Time-Sensitive Constraints AI summary
Julian Richter, João P. Oliveira, Christian Scheurer, Jochen J. Steil, Niels Dehio
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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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Dual Quaternion based Compliant Movement Primitives for Deformable Object Manipulation AI summary
Amir SAMAI, John Thomas, Mohammad Alkhatib, Erol Ozgur, Youcef Mezouar
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DiSPo: Diffusion-SSM Based Policy Learning for Coarse-To-Fine Action Discretization AI summary
Nayoung Oh, Jaehyeong Jang, Moonkyeong Jung, Daehyung Park
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Graph-Based Multi-Agent Reinforcement Learning for Scalable UAV Formation Control and Target Tracking AI summary
Haowen Wang, Shuting Zhang, Guangchen Li
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Safe and Stable Neural Network Dynamical Systems for Robot Motion Planning AI summary
Allen Emmanuel Binny, Mahathi Anand, Hugo Tadashi Kussaba, Lingyun Chen, Shreenabh Agrawal, Fares Abu-Dakka, Abdalla Swikir
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Toward Human Preference Optimization for Vision-Language-Action Models: A Pilot Study on the Limits of Imitation Learning AI summary
Tae-Won Lee, DongWook Kim
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ALOHA Lightning: Learning Fast and Precise Manipulation AI summary
John Hua Yao, Qi Wu, Yihuai Gao, Chelsea Finn, Zipeng Fu
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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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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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Learning Cooperative Strategies for Drone Swarms Using Multi-Agent Reinforcement Learning AI summary
Christian Llanes, Kyle Williams, Spencer Jensen, Samuel Coogan
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Kaiwu: A Multimodal Manipulation Dataset and Framework for Robot Learning and Human-Robot Interaction AI summary
Shuo Jiang, haonan Li, Ruochen Ren, yanmin Zhou, Zhipeng Wang, Bin He
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Efficient Learning of Object Placement with Intra-Category Transfer AI summary
Adrian Röfer, Russell Buchanan, Maximilian Argus, Sethu Vijayakumar, Abhinav Valada
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Switchable Neural Teleoperation AI summary
Jianglong Ye, Changwei Jing, Kezhou Chen, Keyi Wang, Sha Yi, Xueyan Zou, Xiaolong Wang
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Learning Quadrupedal Locomotion for a Heavy Hydraulic Robot Using an Actuator Model AI summary
Minho Lee, Hyeonseok Kim, Jin Tak Kim, Sangshin Park, Jeong Hyun Lee, Jungsan Cho, Jemin Hwangbo
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Failure Identification in Imitation Learning Via Statistical and Semantic Filtering AI summary
Quentin Rolland,, Fabrice Mayran de Chamisso, Jean-Baptiste Mouret
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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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A Differential Dynamic Programming Framework for Inverse Reinforcement Learning AI summary
Kun Cao, Xinhang Xu, Wanxin Jin, Karl H. Johansson, Lihua Xie
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Grasp Independent Indirect Tool Force Estimation using Vision-based Tactile Sensors AI summary
LUCHEN LI, Thomas George Thuruthel
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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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