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975 result(s) for “Incremental Learning” Page 8 of 20
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Distributed AI for Robotics AI summary
Satyabhama Singh, Lars Wulfert, Hendrik Woehrle
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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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History-Aware Visuomotor Policy Learning Via Point Tracking AI summary
Jingjing Chen, Hongjie Fang, Chenxi Wang, Shiquan Wang, Cewu Lu
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PDLNet: Learning Point Cloud Distortion for Unsupervised Cross-Domain Point Cloud Segmentation in Adverse Weather AI summary
Shuhua Dong, Minxian Li, Haofeng Zhang
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Learning Adaptive Pseudo-Label Selection for Semi-Supervised 3D Object Detection AI summary
Taehun Kong, Tae-Kyun Kim
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Best of Sim and Real: Decoupled Visuomotor Manipulation Via Learning Control in Simulation and Perception in Real AI summary
Jialei Huang, Zhao-Heng Yin, Yingdong Hu, Shuo Wang, Xingyu Lin, Yang Gao
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Learning Affordances at Inference-Time for Vision-Language-Action Models AI summary
Ameesh Shah, William Chen, Adwait Godbole, Federico Mora, Sanjit A. Seshia, Sergey Levine
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Hydrodynamics Regularization in Reinforcement Learning for Navigating Crowded Scenarios AI summary
Lai Pingrui, Pan Renjie, Yu Jiaqi, Yang Hua
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Self-Organised Sequential Multi-Agent Reinforcement Learning for Closely Cooperation Tasks AI summary
Hao Fu, YOU MINGYU, Zhou Hongjun, Bin He
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Deep Reinforcement Learning for Reach-Avoid-Stay Problems AI summary
Gabriel Chenevert, Jingqi Li, Achyuta Kannan, Sangjae Bae, Donggun Lee
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NaviGait: Navigating Dynamically Feasible Gait Libraries Using Deep Reinforcement Learning AI summary
Neil Janwani, Varun Madabushi, Maegan Tucker
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Teaching to Individual Needs: Bidirectional Teacher-Student Learning for Wheeled-Legged Locomotion AI summary
Guangsheng Li, Charles Wu, XinHua Zheng, shiyu zhu, Shenglan Liu
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RoboHitch: Learning Visual Affordance from Disordered Keypoints for Hitch Knots Tying AI summary
Jiahui Zuo, Boyang Zhang, Fumin Zhang
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Tiny-DroNeRF: Tiny Neural Radiance Fields Aboard Federated Learning-Enabled Nano-Drones AI summary
Ilenia Carboni, Elia Cereda, Lorenzo Lamberti, Daniele Malpetti, Francesco Conti, Daniele Palossi
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DRL-SFM: Learning Social Navigation from Costmaps and Social Forces for Mobile Robots and Intelligent Wheelchairs AI summary
Matthias Kalenberg, Kilian Gerhard Probst, Andreas Gründer, Christopher May, Jonas Walter, Jörg Franke
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Learning to Grasp by Integrating Human Preferences and Success Feedback AI summary
Juyeol Park, Byungjin Ko, Jong-Wan Yoon, Taejoon Park, Homin Park
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Physics-Informed Machine Learning for Efficient Sim-To-Real Data Augmentation in Micro-Object Pose Estimation AI summary
Tan Zongcai, Lan Wei, Dandan Zhang
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Learning-Based Kinematic Modeling for Concentric Tube Robot: Addressing Its Nonlinearity and Snapping Behavior AI summary
Gowoon Jeong, Seong Young Ko
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Learning a Shape-Adaptive Assist-As-Needed Rehabilitation Policy from Therapist-Informed Input AI summary
Zhimin Hou, Jiacheng Hou, Xiao Chen, Hamid Sadeghian, Tianyu REN, Sami Haddadin
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Deep Photonic Reservoir Computer Meets UAV Control: An Ultra-Fast Learning-Based Compensator for Agile Flight in Confined Space AI summary
Qinxiao Ma, Ruiqian Li, Cheng Wang, Yang Wang
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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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Real-Time Learning of Predictive Dynamic Obstacle Models for Robotic Motion Planning AI summary
Stella Kombo, Joel Burdick, Masih Haseli, Skylar X. Wei
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Pushing the Limits of Reactive Navigation: Learning to Escape Local Minima AI summary
Isar Meijer, Michael Pantic, Helen Oleynikova, Roland Siegwart
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Reward Evolution with Graph-Of-Thoughts: A Bi-Level Language Model Framework for Reinforcement Learning AI summary
Changwei Yao, Xinzi Liu, Chen Li, Marios Savvides
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Learning to Anchor Visual Odometry: KAN-Based Pose Regression for Planetary Landing AI summary
Leizheng Shu
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Learning Flexible Job Shop Scheduling under Limited Buffers and Material Kitting Constraints AI summary
Shishun Zhang, Juzhan Xu, Yidan Fan, Chenyang Zhu, Ruizhen Hu, YONGJUN WANG, Kai Xu
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Beyond Scalar Rewards: Distributional Reinforcement Learning with Preordered Objectives for Safe and Reliable Autonomous Driving AI summary
Ahmed Abouelazm, Jonas Michel, Daniel Bogdoll, Philip Schörner, Johann Marius Zöllner
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Embracing Bulky Objects with Humanoid Robots: Whole-Body Manipulation with Reinforcement Learning AI summary
Chunxin ZHENG, Kai Chen, Zhihai Bi, Yulin Li, Liang Pan, Jinni ZHOU, Haoang Li, Jun Ma
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HoMeR: Learning In-The-Wild Mobile Manipulation Via Hybrid Imitation and Whole-Body Control AI summary
Priya Sundaresan, Rhea Malhotra, Phillip Miao, Jingyun Yang, Jimmy Wu, Hengyuan Hu, Rika Antonova, Francis Engelmann, Dorsa Sadigh, Jeannette Bohg
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BlurPoint: Efficient Motion Blur Aware Student-Teacher Local Feature Learning AI summary
Wenting Wang, Zhenjun Zhao, Jiaxin Guo, Yunhui Liu, Charlie C.L. Wang, Yeung Yam
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DexCtrl: Sim-To-Real Dexterity with Adaptive Controller Learning AI summary
Shuqi Zhao, Ke Yang, Yuxin Chen, Chenran Li, Yichen Xie, Xiang Zhang, Changhao Wang, Masayoshi Tomizuka
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Towards Learning Boulder Excavation with Hydraulic Excavators AI summary
Jonas Gruetter, Lorenzo Terenzi, Pascal Arturo Egli, Marco Hutter
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Online Planning for Multi-UAV Pursuit-Evasion in Unknown Environments Using Deep Reinforcement Learning AI summary
Jiayu Chen, Chao Yu, Guosheng Li, Wenhao Tang, Shilong Ji, Xinyi Yang, Botian Xu, Huazhong Yang, Yu Wang
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Learning Location-Specific Latent Behavior Priors for Occupancy Prediction in Automated Driving AI summary
Julian Schmidt, Mario Ruoff, Christoph Rist, Julian Jordan
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Monocular Visual Odometry Via Diffusion-Based Joint Learning of Optical Flow and Depth AI summary
Qingyuan Hu, Wei Li, Xuebin Meng, Yu Hu
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Learning to Drive Anywhere with Model-Based Reannotation AI summary
Noriaki Hirose, Lydia Ignatova, Kyle Stachowicz, Catherine Glossop, Sergey Levine, Dhruv Shah
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Learning Controlled Separation of Small Objects between Two Fingers with a Tactile Skin AI summary
Ulf Kasolowsky, Berthold Bäuml
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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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Temporal Transfer Learning for Traffic Optimization with Coarse-Grained Advisory Autonomy AI summary
Jung-Hoon Cho, Sirui Li, Jeongyun Kim, Cathy Wu
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ViTac-Tracing: Visual-Tactile Imitation Learning of Deformable Object Tracing AI summary
Yongqiang Zhao, Haining Luo, Yupeng Wang, Emmanouil Spyrakos-Papastavridis, Yiannis Demiris, SHAN LUO
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Flexible Locomotion Learning with Diffusion Model Predictive Control AI summary
Runhan Huang, Haldun Balim, HENG YANG, Yilun Du
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Learning Task-Invariant Properties Via Dreamer: Enabling Efficient Policy Transfer for Quadruped Robots AI summary
Junyang Liang, Yuxuan Liu, Yanbin Chang, Junfan Lin, JunKai JI, Hui Li, Changxin Huang, Jianqiang Li
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Transfer Your Safety: Learning Transferable Model-Free Safety Filters from a Single Policy to Enhance Safety across Diverse Tasks AI summary
Junjun Xie, Siru Li, Shuhao Zhao, Xiaochen Xie and Liang Hu∗
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DA-MMP: Learning Coordinated and Accurate Throwing with Dynamics-Aware Motion Manifold Primitives AI summary
Chi Chu, Huazhe Xu
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SignBot: Learning Human-To-Humanoid Sign Language Interaction AI summary
Guanren Qiao, Sixu Lin, Ronglai Zuo, Zhizheng Wu, Kui JIA, Guiliang Liu
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ST-HNet: A CNN-LSM Hybrid Architecture for Spatio-Temporal Feature Learning in Event-Based Visual Place Recognition AI summary
Xun Xiao, Shasha Guo, Tie Junbo, Jingyue Zhao, Ziqi Wang, Yuan Li, jingzhuo yuan, Qiang Dou, Lei Wang
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JuggleRL: Mastering Ball Juggling with a Quadrotor Via Deep Reinforcement Learning AI summary
Shilong Ji, Yinuo Chen, Chuqi Wang, Jiayu Chen, Ruize Zhang, Feng Gao, Wenhao Tang, Shu'ang Yu, Sirui Xiang, Xinlei Chen, Chao Yu, Yu Wang
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CBF-RL: Safety Filtering Reinforcement Learning in Training with Control Barrier Functions AI summary
Lizhi Yang, Blake Werner, Massimiliano de Sa, Aaron Ames
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Learning-Guided Force-Feedback Model Predictive Control with Obstacle Avoidance for Robotic Deburring AI summary
Krzysztof Wojciechowski, Ege Gursoy, Arthur Haffemayer, Sebastien Kleff, Vincent Bonnet, Florent Lamiraux, Nicolas Mansard
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CorrectManip: A Data-Driven Closed-Loop Framework for Autonomous Skill Learning with Failure Recovery AI summary
Shiwen Li, Zhen Yang, Zuofu Wang, Bin Ma, ye tengju, Shiyu Zhao, Junbo Chen, Kaicheng Yu
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