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1836 result(s) for “Learning from Demonstration” Page 5 of 37
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Platform-Agnostic Reinforcement Learning Framework for Safe Exploration of Cluttered Environments with Graph Attention AI summary
Gabriele Calzolari, Vidya Sumathy, Christoforos Kanellakis, George Nikolakopoulos
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GSAT: Geometric Traversability Estimation Using Self-Supervised Learning with Anomaly Detection for Diverse Terrains AI summary
Dongjin Cho, Miryeong Park, Juhui Lee, Geonmo Yang, Younggun Cho
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LeGO-MM: Learning Navigation for Goal-Oriented Mobile Manipulation Via Hierarchical Policy Distillation AI summary
Bolei Chen, Liangbai Liu, Shengsheng Yan, Haonan Yang, Ping Zhong, Jianxin Wang
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Prepare before You Act: Learning from Humans to Rearrange Initial States AI summary
Yinlong Dai, Andre Keyser, Dylan Losey
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Data-Efficient Hierarchical Goal-Conditioned Reinforcement Learning Via Normalizing Flows AI summary
Shaswat Garg, Matin Moezzi, Brandon Da Silva
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CLOVER: Context-Aware Long-Term Object Viewpoint and Environment Invariant Representation Learning AI summary
Amanda Adkins, Dongmyeong Lee, Joydeep Biswas
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SIT-LMPC: Safe Information-Theoretic Learning Model Predictive Control for Iterative Tasks AI summary
Zirui Zang, Ahmad Amine, Nick-Marios Kokolakis, Truong Xuan Nghiem, Ugo Rosolia, Rahul Mangharam
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Robot Control Stack: A Lean Ecosystem for Robot Learning at Scale AI summary
Tobias Thomas Jülg, Pierre Krack, Seongjin Bien, Yannik Blei, Khaled Gamal, Ken Nakahara, Johannes Hechtl, Roberto Calandra, Wolfram Burgard, Florian Walter
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Tracing Energy Flow: Learning Tactile-Based Grasping Force Control to Reduce Slippage in Dynamic Object Interaction AI summary
Cheng-Yu Kuo, Hirofumi Shin, Takamitsu Matsubara
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Unlocking the Potential of Soft Actor-Critic for Imitation Learning AI summary
Nayari Marie Lessa, Melya Boukheddimi, Frank Kirchner
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Learning-Based Fusion for Robust Multi-Spectral Visual Servoing AI summary
Enrico Fiasche, Siddharth Singh Savner, Ezio Malis, Philippe Martinet
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OCLPlace: Online Continual Learning on LiDAR Streams for Place Recognition AI summary
BinHong Liu, Kaixiao Ye, YangWang Fang, Zhi Yan, Tao Yang
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CoTaP: Compliant Task Pipeline and Reinforcement Learning of Its Controller with Compliance Modulation AI summary
Zewen He, Chen Chenyuan, Dilshod Azizov, Yoshihiko Nakamura
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Flow-Enabled Generalization to Human Demonstrations in Few-Shot Imitation Learning AI summary
Runze Tang, Penny Sweetser
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MILD: Tractable Terrain Modeling for Learning Improved Bipedal Locomotion on Deformable Surfaces AI summary
Zeren Luo, Jiahui ZHANG, Zhe Xu, Wanyue Li, Xinqi Li, Xuechao Chen, Zhangguo YU, Annan Tang, Peng Lu
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Reinforcement Learning-Based Robust Wall Climbing Locomotion Controller in Ferromagnetic Environment AI summary
Yong Um, Young-Ha Shin, Joon-Ha Kim, Soonpyo Kwon, Hae-Won Park
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Self-Supervised Consistency Enhanced Disentangled Learning for Neural Decoding Generalization in Brain-Machine Interfaces AI summary
Jiyu Wei, Di Hong, Zhanjie Zhang, Dazhong Rong, Qinming He, Yueming Wang
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Accelerating Residual Reinforcement Learning with Uncertainty Estimation AI summary
Lakshita Dodeja, Karl Schmeckpeper, Shivam Vats, Thomas Weng, Mingxi Jia, George Konidaris, Stefanie Tellex
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Beyond the Majority: Long-Tail Imitation Learning for Robotic Manipulation AI summary
Junhong Zhu, Ji Zhang, Jingkuan Song, Lianli Gao, Heng Tao Shen
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Connectivity-Aware Representations for Constrained Motion Planning Via Multi-Scale Contrastive Learning AI summary
Suhyun Jeon, Yumin Lim, Woo-Jeong Baek, Hyeonseo Kim, Suhan Park, Jaeheung Park
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Physics-Constrained Imitation Learning for Autonomous Racing AI summary
Haohan Yang, Haochen Liu, Zhou Yanxin, Shuge Wu, Chen Lv
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SURF-Loco: Mastering Complex Industrial Terrains with 3D Surfel-Based Reinforcement Learning for Legged Robots AI summary
Bailin He, Xiting Zhao, Qiao Sun, Xiaoyi Hu, haojie Liu, Jiangwei Zhong, Wenqiang Zhang
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CLAR: Learning 3D Representations for Robotic Manipulation by Fusing Masked Reconstruction with Multi-Level Contrastive Alignment AI summary
Wenbo Cui, Chengyang Zhao, Yuhui Chen, Haoran Li, Zhizheng Zhang, Dongbin Zhao, He Wang
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Dream to Fly: Model-Based Reinforcement Learning for Vision-Based Drone Flight AI summary
Angel Romero, Ashwin Shenai, Ismail Geles, Elie Aljalbout, Davide Scaramuzza
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Behavior Cloning-Enhanced Deep Reinforcement Learning for Robot Navigation Via Dynamic Reward and Adaptive Replanning AI summary
Jianning Chi, fusheng li, Wenjun Zhang, Yongming Yang
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TADPO: Reinforcement Learning Goes Off-Road AI summary
Zhouchonghao Wu, Raymond Song, Vedant Mundheda, Luis E. Navarro-Serment, Christof Schoenborn, Jeff Schneider
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Vision-Based Policy Learning for High-Speed Autonomous Racing AI summary
Haoran Xu, Xianwei Chen, Yilin Lang, Qinyuan Ren
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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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Learning to Throw Objects Safely in Multi-Obstacle Environments AI summary
Mohammadreza Kasaei, Klemen Voncina, Hamidreza Kasaei
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Deformable Cluster Manipulation Via Whole-Arm Policy Learning AI summary
Jayadeep Jacob, Wenzheng Zhang, Houston Warren, Paulo Vinicius Koerich Borges, Fabio Ramos, Tirthankar Bandyopadhyay
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Environment-Aware Learning of Smooth GNSS Covariance Dynamics for Autonomous Racing AI summary
Y. Deemo Chen, Arion Zimmermann, Thomas Berrueta, Soon-Jo Chung
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Deep Learning�Driven Tumor Boundary Estimation Using Robotic Palpation in Minimally Invasive Surgery AI summary
Youngjun Ryu, Jeongbin Hong, Hyeonwoo Kee, Sukho Park
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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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Weakly-Supervised Learning for Physics-Informed Neural Motion Planning Via Sparse Roadmap AI summary
Ruiqi Ni, Yuchen Liu, Ahmed H. Qureshi
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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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Placeit! a Framework for Learning Robot Object Placement Skills AI summary
Amina Ferrad, Johann Huber, François Hélénon, Julien Gleyze, Mahdi Khoramshahi, Stéphane Doncieux
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Efficient Hierarchical Reinforcement Learning with Dynamic Kolmogorov�Arnold Network for Long-Horizon Robotic Manipulation AI summary
Yuke Qu, Junkai Ren, Jiawei Luo, Yufeng Xie, Huimin Lu, Xin Xu, Yicong Ye
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Sce2DriveX: A Generalized MLLM Framework for Scene-To-Drive Learning AI summary
Zhao Rui, Yuan Qirui, li jinyu, Hu Haofeng, Li Yun, Gao Zhenhai, Gao Fei
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FUNCanon: Learning Pose-Aware Action Primitives Via Functional Object Canonicalization for Generalizable Robotic Manipulation AI summary
Hongli Xu, Lei Zhang, Xiaoyue Hu, Boyang Zhong, Kaixin Bai, Zoltan-Csaba Marton, Zhenshan Bing, Zhaopeng Chen, Alois Knoll, Jianwei Zhang
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Hierarchical Online Learning for Adaptive Sampling of Discrete Species Distributions with an AUV AI summary
Jessica Todd, Seth McCammon, Dana Yoerger
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Observer�Actor: Active Vision Imitation Learning with Sparse-View Gaussian Splatting AI summary
Yilong Wang, Cheng Qian, Ruomeng Fan, Edward Johns
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Adaptor: Advancing Assistive Teleoperation with Few-Shot Learning and Cross-Operator Generalization AI summary
Yu Liu, Yihang Yin, Tianlv Huang, Fei Yan, Yuan Xu, Weinan Hong, Wei Han, Yue Cao, Xiangyu Chen, Zipei Fan, Xuan Song
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X-Nav: Learning End-To-End Cross-Embodiment Navigation for Mobile Robots AI summary
Haitong Wang, Aaron Hao Tan, Angus Fung, Goldie Nejat
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CLF-RL: Control Lyapunov Function Guided Reinforcement Learning AI summary
Kejun Li, Zachary Olkin, Yisong Yue, Aaron Ames
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Trajectory Planning for UAV-Based Smart Farming Using Imitation-Based Triple Deep Q-Learning AI summary
Wencan Mao, Quanxi Zhou, Tomás Couso Coddou, Manabu Tsukada, Liu Yunling, Yusheng Ji
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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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DynDLO: Learning-Based Trajectory Planning for Dynamic Robotic Manipulation of Deformable Linear Objects AI summary
Daniele Maria Liuni, Alessandro Bartesaghi, Andrea Monguzzi, Alessandra Miuccio, Andrea Maria Zanchettin, Paolo Rocco
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COBALT: Crowdsourcing Robot Learning Via Cloud-Based Teleoperation with Smartphones AI summary
Ayush Agarwal, Ansh Gandhi, Jeremy Collins, Omar Rayyan, Aryan Sarswat, Ranjani Koushik, Masoud Moghani, Ajay Uday Mandlekar, Animesh Garg
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Learning on the Fly: Rapid Policy Adaptation Via Differentiable Simulation AI summary
Jiahe Pan, Jiaxu Xing, Rudolf Reiter, Yifan Zhai, Elie Aljalbout, Davide Scaramuzza
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