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589 result(s) for “Imitation Learning” Page 1 of 12
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Neural ODE-Based Imitation Learning (NODE-IL): Data-Efficient Imitation Learning for Long-Horizon Multi-Skill Robot Manipulation
Shiyao Zhao, Yucheng Xu, Mohammadreza Kasaei, Mohsen Khadem, Zhibin (Alex) Li
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JUICER: Data-Efficient Imitation Learning for Robotic Assembly
Lars Ankile, Anthony Simeonov, Idan Shenfeld, Pulkit Agrawal
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Uncertainty-Aware Deployment of Pre-Trained Language-Conditioned Imitation Learning Policies
Bo Wu, Bruce Lee, Kostas Daniilidis, Bernadette Bucher, Nikolai Matni
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DecAP : Decaying Action Priors for Accelerated Imitation Learning of Torque-Based Legged Locomotion Policies
Shivam Sood, GE SUN, Peizhuo LI, Guillaume Adrien Sartoretti
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Dynamic Manipulation of Deformable Objects Using Imitation Learning with Adaptation to Hardware Constraints
Eric Hannus, Tran Nguyen Le, David Blanco-Mulero, Ville Kyrki
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Visual Imitation Learning of Task-Oriented Object Grasping and Rearrangement
Yichen Cai, Jianfeng Gao, Christoph Pohl, Tamim Asfour
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Diff-Control: A Stateful Diffusion-Based Policy for Imitation Learning
Xiao Liu, Yifan Zhou, Fabian Clemens Weigend, Shubham Sonawani, Shuhei Ikemoto, Heni Ben Amor
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Safe CoR: A Dual-Expert Approach to Integrating Imitation Learning and Safe Reinforcement Learning Using Constraint Rewards
Hyeokjin Kwon, Gunmin Lee, Junseo Lee, Songhwai Oh
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Leveraging Demonstrator-Perceived Precision for Safe Interactive Imitation Learning of Clearance-Limited Tasks
Hanbit Oh, Takamitsu Matsubara
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ARCADE: Scalable Demonstration Collection and Generation Via Augmented Reality for Imitation Learning
Yue Yang, Bryce Ikeda, Gedas Bertasius, Daniel J. Szafir
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Imitation Learning for Sim-To-Real Adaptation of Robotic Cutting Policies Based on Residual Gaussian Process Disturbance Force Model
Jamie Hathaway, Alireza Rastegarpanah, Rustam Stolkin
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Safe Imitation Learning of Nonlinear Model Predictive Control for Flexible Robots
Shamil Mamedov, Rudolf Reiter, Seyed Mahdi Basiri Azad, Ruan Matthys Viljoen, Joschka Boedecker, Moritz Diehl, Jan Swevers
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Environmental and Behavioral Imitation for Autonomous Navigation
Junki Aoki, Fumihiro Sasaki, Kohei Matsumoto, Ryota Yamashina, Ryo Kurazume
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Domain Adaptation in Visual Reinforcement Learning Via Self-Expert Imitation with Purifying Latent Feature
Lin Chen, Jianan Huang, zhen zhou, Yaonan Wang, Yang Mo, Zhiqiang Miao, Kai Zeng, Mingtao Feng, Danwei Wang
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Uncertainty-Aware Deep Imitation Learning and Deployment for Autonomous Navigation through Crowded Intersections
Zeyu Zhu, Shuai Wang, Huijing Zhao
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Robust Imitation Learning for Mobile Manipulator Focusing on Task-Related Viewpoints and Regions
Yutaro Ishida, Yuki Noguchi, Takayuki Kanai, Kazuhiro Shintani, Hiroshi Bito
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Real-Time Spatiotemporal Assistance for Micromanipulation Using Imitation Learning
Ryoya Mori, Tadayoshi Aoyama, Taisuke Kobayashi, Kazuya Sakamoto, Masaru Takeuchi, Yasuhisa Hasegawa
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Synergistic Reinforcement and Imitation Learning for Vision-Driven Autonomous Flight of UAV Along River
Zihan Wang, Jianwen Li, Nina Mahmoudian
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Continuous Rapid Learning by Human Imitation Using Audio Prompts and One-Shot Learning
Jaime Duque Domingo, Miguel García-GÃ3mez, Eduardo Zalama, Jaime Gomez Garcia Bermejo
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Hierarchical Action Chunking Transformer: Learning Temporal Multimodality from Demonstrations with Fast Imitation Behavior
J. hyeon Park, Wonhyuk Choi, Sunpyo Hong, Hoseong Seo, Joonmo Ahn, Changsu Ha, Heungwoo Han, Junghyun Kwon
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Self Supervised Detection of Incorrect Human Demonstrations: A Path Toward Safe Imitation Learning by Robots in the Wild
Noushad Sojib, Momotaz Begum
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PP-TIL: Personalized Planning for Autonomous Driving with Instance-Based Transfer Imitation Learning
Fangze Lin, Ying He, Fei Yu
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Towards a Surgeon-In-The-Loop Ophthalmic Robotic Apprentice Using Reinforcement and Imitation Learning
Amr Gomaa, Bilal Mahdy, Niko Kleer, Antonio Krüger
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RISE: 3D Perception Makes Real-World Robot Imitation Simple and Effective
Chenxi Wang, Hongjie Fang, Hao-Shu Fang, Cewu Lu
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Data Efficient Behavior Cloning for Fine Manipulation Via Continuity-Based Corrective Labels
Abhay Deshpande, Liyiming Ke, Quinn Pfeifer, Abhishek Gupta, Siddhartha Srinivasa
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IntervenGen: Interventional Data Generation for Robust and Data-Efficient Robot Imitation Learning
Ryan Hoque, Ajay Uday Mandlekar, Caelan Garrett, Ken Goldberg, Dieter Fox
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SculptDiff: Learning Robotic Clay Sculpting from Humans with Goal Conditioned Diffusion Policy
Alison Bartsch, Arvind Car, Charlotte Avra, Amir Barati Farimani
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Experience-Learning Inspired Two-Step Reward Method for Efficient Legged Locomotion Learning towards Natural and Robust Gaits
Yinghui Li, Jinze Wu, Xin Liu, Weizhong Guo, Yufei Xue
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DITTO: Demonstration Imitation by Trajectory Transformation
Nick Heppert, Maximilian Argus, Tim Welschehold, Thomas Brox, Abhinav Valada
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A Non-Homogeneity Mapless Navigation Based on Hierarchical Safe Reinforcement Learning in Dynamic Complex Environments
Jianmin Qin, Qingchen Liu, Qichao Ma, Zipeng Wu, Jiahu Qin
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Learning Fine Pinch-Grasp Skills Using Tactile Sensing from a Few Real-World Demonstrations
Xiaofeng Mao, Yucheng Xu, Ruoshi Wen, Mohammadreza Kasaei, Wanming Yu, Efi Psomopoulou, Nathan Lepora, Zhibin (Alex) Li
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Whole-Body Humanoid Robot Locomotion with Human Reference
Qiang Zhang, Peter Cui, David Yan, Jingkai SUN, YIQUN DUAN, Gang Han, Wen Zhao, Weining ZHANG, Yijie Guo, Arthur Zhang, Renjing Xu
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Driving from Vision through Differentiable Optimal Control
Flavia Sofia Acerbo, Jan Swevers, Tinne Tuytelaars, Son Tong
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GELLO: A General, Low-Cost, and Intuitive Teleoperation Framework for Robot Manipulators
Shiyao Wu, Yide Shentu, Zhongke Yi, Xingyu Lin, Pieter Abbeel
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Cross-Observability Learning for Vehicle Routing Problems
Ruifan Liu, Hyo-Sang Shin, Antonios Tsourdos
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Learning to Imitate Spatial Organization in Multi-Robot Systems
Ayomide Oluwaseyi Agunloye, Sarvapali Ramchurn, Mohammad D. Soorati
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Bi-CL: A Reinforcement Learning Framework for Robots Coordination through Bi-Level Optimization
Zechen Hu, Daigo Shishika, Xuesu Xiao, Xuan Wang
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VTTB: A Visuo-Tactile Learning Approach for Robot-Assisted Bed Bathing
Yijun Gu, Yiannis Demiris
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Self-Reconfiguration Strategies for Space-Distributed Spacecraft
Tianle Liu, Zhixiang Wang, Yongwei Zhang, Ziwei Wang, Zihao Liu, Yizhai Zhang, Panfeng Huang
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Embodied AI with Two Arms: Zero-Shot Learning, Safety and Modularity
Jacob Varley, Sumeet Singh, Deepali Jain, Krzysztof Choromanski, Andy Zeng, Somnath Basu Roy Chowdhury, Avinava Dubey, Vikas Sindhwani
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Ag2Manip: Learning Novel Manipulation Skills with Agent-Agnostic Visual and Action Representations
Puhao Li, Tengyu Liu, Yuyang Li, Muzhi Han, Haoran Geng, Shu Wang, Yixin Zhu, Song-Chun Zhu, Siyuan Huang
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Bayesian Optimization for Sample-Efficient Policy Improvement in Robotic Manipulation
Adrian Röfer, Iman Nematollahi, Tim Welschehold, Wolfram Burgard, Abhinav Valada
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On the Modularity of Elementary Dynamic Actions
Moses Nah, Johannes Lachner, Federico Tessari, Neville Hogan
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CMR-Agent: Learning a Cross-Modal Agent for Iterative Image-To-Point Cloud Registration
Gongxin Yao, Yixin Xuan, Xinyang Li, Yu Pan
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Learning Autonomous Driving from Aerial Imagery
Varun Murali, Guy Rosman, Sertac Karaman, Daniela Rus
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Multi-Agent Behavior Retrieval: Retrieval-Augmented Policy Training for Cooperative Push Manipulation by Mobile Robots
So Kuroki, Mai Nishimura, Tadashi Kozuno
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EyeSight Hand: Design of a Fully-Actuated Dexterous Robot Hand with Integrated Vision-Based Tactile Sensors and Compliant Actuation
Branden Romero, Hao-Shu Fang, Pulkit Agrawal, Edward Adelson
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LLaKey: Follow My Basic Action Instructions to Your Next Key State
Zheyi Zhao, Ying He, Fei Yu, Pengteng Li, Fan Zhuo, Xilong Sun
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DMFuser: Distilled Multi-Task Learning for End-To-End Transformer-Based Sensor Fusion in Autonomous Driving
Pedram Agand, Mohammad Mahdavian, Manolis Savva, Mo Chen
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ParkingE2E: Camera-Based End-To-End Parking Network, from Images to Planning
Changze Li, Ziheng Ji, Zhe Chen, Tong Qin, Ming Yang
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