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1162 result(s) for “Learning from Experience” Page 5 of 24
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A Learning-Based Controller for Multi-Contact Grasps on Unknown Objects with a Dexterous Hand
Dominik Winkelbauer, Rudolph Triebel, Berthold Bäuml
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Crowd-Aware Robot Navigation with Switching between Learning-Based and Rule-Based Methods Using Normalizing Flows
Kohei Matsumoto, Yuki Hyodo, Ryo Kurazume
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MFC-EQ: Mean-Field Control with Envelope Q-Learning for Moving Decentralized Agents in Formation
Qiushi Lin, Hang Ma
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Tactile Active Inference Reinforcement Learning for Efficient Robotic Manipulation Skill Acquisition
Zihao Liu, Xing Liu, Zhengxiong Liu, Yizhai Zhang, Panfeng Huang
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Learning High-Level Semantic-Relational Concepts for SLAM
Jose Andres Millan Romera, Hriday Bavle, Muhammad Shaheer, Martin R. Oswald, Holger Voos, Jose Luis Sanchez-Lopez
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Task and Domain Adaptive Reinforcement Learning for Robot Control
Yu Tang Liu, Nilaksh Nilaksh, Aamir Ahmad
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VoxelContrast: Voxel Contrast-Based Unsupervised Learning for 3D Point Clouds
Yuxiang Qin, HAO SUN
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A Safe Preference Learning Approach for Personalization with Applications to Autonomous Vehicles
Ruya Karagulle, Nikos Arechiga, Andrew Best, Jonathan DeCastro, Necmiye Ozay
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Learning-Informed Long-Horizon Navigation under Uncertainty for Vehicles with Dynamics
Abhish Khanal, Hoang-Dung Bui, Erion Plaku, Gregory Stein
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Learning Occluded Branch Depth Maps in Forest Environments Using RGB-D Images
Christian Geckeler, Emanuele Aucone, Yannick Schnider, Andri Simeon, Jan-Philipp von Bassewitz, Yunying Zhu, Stefano Mintchev
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A Framework for Neurosymbolic Goal-Conditioned Continual Learning for Open World Environments
Pierrick Lorang, Shivam Goel, Yash Shukla, Patrik Zips, Matthias Scheutz
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A Deep Reinforcement Learning Framework and Methodology for Reducing the Sim-to-Real Gap in ASV Navigation
Luis F. W. Batista, Junghwan Ro, Antoine Richard, Pete Schroepfer, Seth Hutchinson, Cedric Pradalier
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Fixing Symbolic Plans with Reinforcement Learning in Object-Based Action Spaces
Christopher Thierauf, Matthias Scheutz
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Communication-Efficient Multi-Robot Exploration Using Distributed Coverage-Biased Q-Learning
Ehsan Latif, Ramviyas Parasuraman
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Active Learning for Forward/Inverse Kinematics of Redundantly-Driven Flexible Tensegrity Manipulator
Yuhei Yoshimitsu, Takayuki Osa, Heni Ben Amor, Shuhei Ikemoto
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Reinforcement Learning for Active Search and Grasp in Clutter
Thomas Pitcher, Julian Förster, Jen Jen Chung
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Hyperbolic Image-And-Pointcloud Contrastive Learning for 3D Classification
Naiwen Hu, Haozhe Cheng, Yifan Xie, Pengcheng Shi, Jihua Zhu
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Incremental Learning of Robotic Manipulation Tasks through Virtual Reality Demonstrations
Giuseppe Rauso, Riccardo Caccavale, Alberto Finzi
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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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CASRL: Collision Avoidance with Spiking Reinforcement Learning among Dynamic, Decision-Making Agents
Chengjun Zhang, Ka-Wa Yip, Bo Yang, Zhiyong Zhang, Mengwen Yuan, Rui Yan, Huajin Tang
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Keyframe Selection Via Deep Reinforcement Learning for Skeleton-Based Gesture Recognition
minggang gan, Jinting Liu, Yuxuan He, aobo chen, Qianzhao Ma
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Learning-Based Adaptive Admittance Controller for Efficient and Safe pHRI in Contact-Rich Manufacturing Tasks
Pouya Pourakbarian Niaz, Engin Erzin, Cagatay Basdogan
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Learning Human-To-Humanoid Real-Time Whole-Body Teleoperation
Tairan He, Zhengyi Luo, Wenli Xiao, Chong Zhang, Kris Kitani, Changliu Liu, Guanya Shi
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Guiding Reinforcement Learning with Incomplete System Dynamics
Shuyuan Wang
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Satellite-Model-Free Deep Learning Based Pose Estimation of Non-Cooperative Satellite and Tracking Using Navigation Filter
Shubham Shukla, Raunak Srivastava, Rolif Lima, Titas Bera
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Raising Body Ownership in End-To-End Visuomotor Policy Learning Via Robot-Centric Pooling
Zheyu Zhuang, Ville Kyrki, Danica Kragic
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Learning Coordinated Maneuver in Adversarial Environments
Zechen Hu, Manshi Limbu, Daigo Shishika, Xuesu Xiao, Xuan Wang
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Cross-Observability Learning for Vehicle Routing Problems
Ruifan Liu, Hyo-Sang Shin, Antonios Tsourdos
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Mastering Scene Rearrangement with Expert-Assisted Curriculum Learning and Adaptive Trade-Off Tree-Search
Zan Wang, Hanqing Wang, Wei Liang
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Equivariant Ensembles and Regularization for Reinforcement Learning in Map-Based Path Planning
Mirco Theile, Hongpeng Cao, Marco Caccamo, Alberto Sangiovanni Vincentelli
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DaFoEs: Mixing Datasets towards the Generalization of Vision-State Deep-Learning Force Estimation in Minimally Invasive Robotic Surgery
Mikel De Iturrate Reyzabal, Mingcong Chen, Wei Huang, Sebastien Ourselin, Hongbin Liu
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MPGNet: Learning Move-Push-Grasping Synergy for Target-Oriented Grasping in Occluded Scenes
Dayou Li, Chenkun Zhao, Shuo Yang, Ran Song, Xiaolei Li, Wei Zhang
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Robot-Enabled Machine Learning-Based Diagnosis of Gastric Cancer Polyps Using Partial Surface Tactile Imaging
Siddhartha Kapuria, Jeff Bonyun, Yash Kulkarni, Naruhiko Ikoma, Sandeep Chinchali, Farshid Alambeigi
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Steering Decision Transformers Via Temporal Difference Learning
Hao-Lun Hsu, Alper Kamil Bozkurt, Juncheng Dong, Qitong Gao, Vahid Tarokh, Miroslav Pajic
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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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Riemannian Flow Matching Policy for Robot Motion Learning
Max Braun, Noémie Jaquier, Leonel Rozo, Tamim Asfour
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Toward Understanding Key Estimation in Learning Robust Humanoid Locomotion
Zhicheng Wang, Wandi Wei, Ruiqi Yu, Jun Wu, Qiuguo Zhu
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Learning Dynamics Models for Velocity Estimation in Autonomous Racing
Jan Węgrzynowski, Grzegorz Czechmanowski, Piotr Kicki, Krzysztof, Tadeusz Walas
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Learning Long-Horizon Predictions for Quadrotor Dynamics
Pratyaksh Rao, Alessandro Saviolo, Tommaso Castiglione Ferrari, Giuseppe Loianno
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A Scalable Platform for Robot Learning and Physical Skill Data Collection
Samuel Schneider, Yansong Wu, Fan Wu, Lars Johannsmeier, Sami Haddadin
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Towards Human-Centered Construction Robotics: A Reinforcement Learning-Driven Companion Robot for Contextually Assisting Carpentry Workers
Yuning Wu, Jiaying Wei, Jean Oh, Daniel Cardoso Llach
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Reinforcement Learning with Generalizable Gaussian Splatting
Jiaxu Wang, Qiang Zhang, Jingkai SUN, Jiahang Cao, Gang Han, Wen Zhao, Weining ZHANG, Yecheng Shao, Yijie Guo, Renjing Xu
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Terrain-Attentive Learning for Efficient 6-DoF Kinodynamic Modeling on Vertically Challenging Terrain
Aniket Datar, Chenhui Pan, Mohammad Nazeri, Anuj Pokhrel, Xuesu Xiao
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DeepBHMR: Learning Bidirectional Hybrid Mixture Models for Generalized Rigid Point Set Registration
Zhe Min, Zhengyan Zhang, Ang Zhang, Rui Song, Yibin Li, Max Q.-H. Meng
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BaRiFlex: A Robotic Gripper with Versatility and Collision Robustness for Robot Learning
Gu-Cheol Jeong, Arpit Bahety, Gabriel Pedraza, Ashish Deshpande, Roberto Martín-Martín
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Learning-To-Rank Approach for Identifying Everyday Objects Using a Physical-World Search Engine
Kanta Kaneda, Shunya Nagashima, Ryosuke Korekata, Motonari Kambara, Komei Sugiura
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Learning-Based Adaptive Control of Quadruped Robots for Active Stabilization on Moving Platforms
Minsung Yoon, Heechan Shin, Jeil Jeong, Sung-eui Yoon
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Arm-Constrained Curriculum Learning for Loco-Manipulation of a Wheel-Legged Robot
Zifan Wang, Yufei Jia, Lu Shi, Haoyu Wang, Haizhou Zhao, Xueyang Li, Jinni ZHOU, Jun Ma, Guyue Zhou
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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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Roofus: Learning-Based Robotic Moisture Mapping on Flat Rooftops with Ground Penetrating Radar
Kevin Lee, Wei-Heng Lin, Talha Javed, Sruti Madhusudhan, Bilal Sher, Chen Feng
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