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1415 result(s) for “Learning from Demonstration” Page 1 of 29
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Learning Motion Reconstruction from Demonstration Via Multi-Modal Soft Tactile Sensing
Cheng Pan, Kieran Gilday, Emily Sologuren, Kai Junge, Josie Hughes
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NetLfD: Network-Aware Learning from Demonstration for In-Contact Skills Via Teleoperation
Başak Güleçyüz, Vincent von Büren, Xiao Xu, Eckehard Steinbach
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Learning a Flexible Neural Energy Function with a Unique Minimum for Globally Stable and Accurate Demonstration Learning
Zhehao Jin, WEIYONG SI, Andong Liu, Wen-An Zhang, Li Yu, Chenguang Yang
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Instructing Robots by Sketching: Learning from Demonstration via Probabilistic Diagrammatic Teaching
Weiming Zhi, Tianyi Zhang, Matthew Johnson-Roberson
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Learning Interaction Regions and Motion Trajectories Simultaneously from Egocentric Demonstration Videos
Jianjia Xin, Lichun Wang, Kai Xu, Chao Yang, Baocai Yin
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WayEx: Waypoint Exploration Using a Single Demonstration
Mara Levy, Nirat Saini, Abhinav Shrivastava
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A User-Centered Shared Control Scheme with Learning from Demonstration for Robotic Surgery
Haoyi Zheng, Zhaoyang Jacopo Hu, yanpei huang, Xiaoxiao Cheng, Ziwei Wang, etienne burdet
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Few-Shot Learning of Force-Based Motions from Demonstration through Pre-Training of Haptic Representation
Marina Y. Aoyama, Joao Moura, Namiko Saito, Sethu Vijayakumar
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An Ergo-Interactive Framework for Human-Robot Collaboration Via Learning from Demonstration
Zhiwei Liao, Marta Lorenzini, Mattia Leonori, Fei Zhao, Gedong Jiang, Arash Ajoudani
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Safe and Individualized Motion Planning for Upper-Limb Exoskeleton Robots Using Human Demonstration and Interactive Learning
Yu Chen, Gong Chen, jing ye, Xiangjun Qiu, Xiang LI
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Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration
Jinning Li, Xinyi Liu, Banghua Zhu, Jiantao Jiao, Masayoshi Tomizuka, CHEN TANG, Wei Zhan
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CoBT: Collaborative Programming of Behaviour Trees from One Demonstration for Robot Manipulation
Aayush Jain, Philip Long, Valeria Villani, John D. Kelleher, Maria Chiara Leva
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Learning When to Ask for Help: Transferring Human Knowledge through Part-Time Demonstration
Ifueko Igbinedion, Sertac Karaman
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Self-Supervised 6-DoF Robot Grasping by Demonstration Via Augmented Reality Teleoperation System
Xiwen Dengxiong, Xueting Wang, Shi Bai, Yunbo Zhang
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Domain Adaptation of Visual Policies with a Single Demonstration
Weiyao Wang, Gregory Hager
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Learning Robot Motion in a Cluttered Environment Using Unreliable Human Skeleton Data Collected by a Single RGB Camera
Ryota Takamido, Jun Ota
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Learning Distributional Demonstration Spaces for Task-Specific Cross-Pose Estimation
Jenny Wang, Octavian Donca, David Held
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Learning a Stable Dynamic System with a Lyapunov Energy Function for Demonstratives Using Neural Networks
Yu Zhang, Yongxiang Zou, Haoyu Zhang, Xiuze Xia, Long Cheng
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Kinematic Optimization of a Robotic Arm for Automation Tasks with Human Demonstration
Inbar Meir, Avital Bechar, Avishai Sintov
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Compositional Servoing by Recombining Demonstrations
Maximilian Argus, Abhijeet Nayak, Martin Büchner, Silvio Galesso, Abhinav Valada, Thomas Brox
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K-VIL: Keypoints-Based Visual Imitation Learning
Jianfeng Gao, Zhi Tao, Noémie Jaquier, Tamim Asfour
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Rank2Reward: Learning Shaped Reward Functions from Passive Video
Daniel Yang, Davin Tjia, Jacob Herman Berg, Dima Damen, Pulkit Agrawal, Abhishek Gupta
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RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation
Mel Vecerik, Carl Doersch, Yi Yang, Todor Bozhinov Davchev, Yusuf Aytar, Guangyao Zhou, Raia Hadsell, Lourdes Agapito, Jonathan Scholz
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Soft and Rigid Object Grasping with Cross-Structure Hand Using Bilateral Control-Based Imitation Learning
Koki Yamane, Yuki Saigusa, Sho Sakaino, Toshiaki Tsuji
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Sim-To-Real Learning for Humanoid Box Loco-Manipulation
Jeremy Dao, Helei Duan, Alan Fern
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Hierarchical Human-To-Robot Imitation Learning for Long-Horizon Tasks Via Cross-Domain Skill Alignment
Zhenyang Lin, Yurou Chen, Zhiyong Liu
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Hierarchical Deep Learning for Intention Estimation of Teleoperation Manipulation in Assembly Tasks
Cai Mingyu, Karankumar Patel, Soshi Iba, Songpo Li
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Self-supervised Learning for Joint Pushing and Grasping Policies in Highly Cluttered Environments
Yongliang Wang, Kamal Mokhtar, Cock Heemskerk, Hamidreza Kasaei
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Brain-Inspired Hyperdimensional Computing in the Wild: Lightweight Symbolic Learning for Sensorimotor Controls of Wheeled Robots
Hyukjun Kwon, kangwon kim, JUNYOUNG LEE, Hyunsei Lee, Jiseung Kim, JINHYUNG KIM, taehyeong Kim, Yong Nyeon Kim, Yang Ni, Mohsen Imani, Il Hong Suh, Yeseong Kim
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AirExo: Low-Cost Exoskeletons for Learning Whole-Arm Manipulation in the Wild
Hongjie Fang, Hao-Shu Fang, Yiming Wang, Jieji Ren, Jingjing Chen, ruo zhang, Weiming Wang, Cewu Lu
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See to Touch: Learning Tactile Dexterity through Visual Incentives
Irmak Guzey, Yinlong Dai, Ben Evans, Soumith Chintala, Lerrel Pinto
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Bi-KVIL: Keypoints-Based Visual Imitation Learning of Bimanual Manipulation Tasks
Jianfeng Gao, Xiaoshu Jin, Franziska Krebs, Noémie Jaquier, Tamim Asfour
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Unsupervised Human Motion Segmentation Based on Characteristic Force Signals of Contact Events
Keito Sugawara, Sho Sakaino, Toshiaki Tsuji
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Human Robot Shared Control in Surgery: A Performance Assessment
Longrui Chen, Zhaoyang Jacopo Hu, yanpei huang, etienne burdet, Ferdinando Rodriguez y Baena
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GenDOM: Generalizable One-Shot Deformable Object Manipulation with Parameter-Aware Policy
So Kuroki, Jiaxian Guo, Tatsuya Matsushima, Takuya Okubo, Masato Kobayashi, Yuya Ikeda, Ryosuke Takanami, Paul Yoo, Yutaka Matsuo, Yusuke Iwasawa
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Uncertainty-Aware Reinforcement Learning for Autonomous Driving with Multimodal Digital Driver Guidance
Wenhui Huang, Zitong Shan, Shanhe Lou, Chen Lv
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Containerized Vertical Farming Using Cobots
Dasharadhan Mahalingam, Aditya Patankar, Khiem Phi, Nilanjan Chakraborty, Ryan McGann, IV Ramakrishnan
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HumanMimic: Learning Natural Locomotion and Transitions for Humanoid Robot Via Wasserstein Adversarial Imitation
Annan Tang, Takuma Hiraoka, Naoki Hiraoka, Fan Shi, Kento Kawaharazuka, Kunio Kojima, Kei Okada, Masayuki Inaba
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Collision Avoidance and Navigation for a Quadrotor Swarm Using End-To-End Deep Reinforcement Learning
Zhehui Huang, Zhaojing Yang, Rahul Krupani, Baskın Şenbaşlar, Sumeet Batra, Gaurav Sukhatme
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Safe Execution of Learned Orientation Skills with Conic Control Barrier Functions
Zheng Shen, Matteo Saveriano, Fares Abu-Dakka, Sami Haddadin
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RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot
Hao-Shu Fang, Hongjie Fang, Zhenyu Tang, Jirong Liu, Chenxi Wang, Junbo Wang, Haoyi Zhu, Cewu Lu
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Grasp Transfer Based on Self-Aligning Implicit Representations of Local Surfaces
Ahmet Tekden, Marc Peter Deisenroth, Yasemin Bekiroglu
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Graph-Based Scenario-Adaptive Lane-Changing Trajectory Planning for Autonomous Driving
Qing Dong, Zhanhong Yan, Kimihiko Nakano, Xuewu Ji, Yahui Liu
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Visual-Tactile Robot Grasping Based on Human Skill Learning from Demonstrations Using a Wearable Parallel Hand Exoskeleton
Zhenyu Lu, Lu Chen, Hengtai Dai, Haoran Li, Zhou Zhao, Bofang Zheng, Nathan Lepora, Chenguang Yang
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Conditionally Combining Robot Skills Using Large Language Models
K.R. Zentner, Ryan Julian, Brian Ichter, Gaurav Sukhatme
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GAN-Based Editable Movement Primitive from High-Variance Demonstrations
Xuanhui Xu, YOU MINGYU, Zhou Hongjun, Zhifeng Qian, Weisheng Xu, Bin He
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Harnessing the Differential Flatness of Monocopter Dynamics for the Purpose of Trajectory Tracking in a Stable Invertible Coaxial Actuated ROtorcraft (SICARO)
Emmanuel Tang, Wei Jun Ang, Kian Wee Tan, Shaohui Foong
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MoDem-V2: Visuo-Motor World Models for Real-World Robot Manipulation
Patrick Lancaster, Nicklas Hansen, Aravind Rajeswaran, Vikash Kumar
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Human-Robot Deformation Manipulation Skill Transfer: Sequential Fabric Unfolding Method for Robots
Tianyu Fu, Yunfeng Bai, Cheng Li, Fengming Li, Chaoqun Wang, Rui Song
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Robotic Skill Mutation in Robot-To-Robot Propagation During a Physically Collaborative Sawing Task
Rosa Enna Sophia Maessen, J. Micah Prendergast, Luka Peternel
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