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964 result(s) for “Reinforcement Learning” Page 9 of 20
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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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Proprioceptive Image: An Image Representation of Proprioceptive Data from Quadruped Robots for Contact Estimation Learning AI summary
Gabriel Fischer Abati, João Carlos Virgolino Soares, Giulio Turrisi, Victor Barasuol, Claudio Semini
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Model Predictive Control with Reference Learning for Soft Robotic Intracranial Pressure Waveform Modulation AI summary
Fabian Flürenbrock, Yanick Büchel, Johannes Köhler, Marianne Schmid Daners, Melanie N. Zeilinger
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UniDoorManip: Learning Universal Door Manipulation Policy Over Large-Scale and Diverse Door Manipulation Environments AI summary
Yu Li, Xiaojie Zhang, Ruihai Wu, zilong zhang, Yiran Geng, Hao Dong, Zhaofeng He
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A Computationally Efficient Nonparametric Approach for Robot Imitation Learning AI summary
Yijin Wang, Shaokang Wu, Chen Liu, Chuankai Zhang, João Silvério, Yanlong Huang
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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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Learning Maximal Safe Sets Using Hypernetworks for MPC-Based Local Trajectory Planning in Unknown Environments AI summary
Bojan Derajic, Mohamed-Khalil Bouzidi, Sebastian Bernhard, Wolfgang Hoenig
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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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Failure Identification in Imitation Learning Via Statistical and Semantic Filtering AI summary
Quentin Rolland,, Fabrice Mayran de Chamisso, Jean-Baptiste Mouret
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MIMO: A Multimodal Imitation Learning Framework for Mobile Manipulation with Exoskeleton-VR Teleoperation AI summary
Jie Mei, Xinkai Wu, Yue Zhang, Tao Song, Zhongxia Xiong
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Flow before Imitation: Learning Dexterous In-Hand Manipulation with Dynamic Visuotactile Shortcut Policy AI summary
Yijin Chen, Wenqiang Xu, Zhenjun Yu, Tutian Tang, Yutong Li, Siqiong Yao, Cewu Lu
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HMC: Learning Heterogeneous Meta-Control for Contact-Rich Loco-Manipulation AI summary
whiteboard; pulling open a door; opening a microwave; tightening a nut and lifting a trash can.)
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AMPLIFY: Actionless Motion Priors for Robot Learning from Videos AI summary
Jeremy Collins, Lorand Cheng, Kunal Aneja, Albert Wilcox, Benjamin Joffe, Animesh Garg
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NavDP: Learning Sim-To-Real Navigation Diffusion Policy with Privileged Information Guidance AI summary
Wenzhe Cai, Jiaqi Peng, Yuqiang Yang, Yujian Zhang, MENG WEI, Hanqing Wang, Yilun Chen, Tai Wang, Jiangmiao Pang
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Intent Recognition in Gait Transition Using Muscle Volume Sensors with Deep Learning AI summary
Geonwoo Park, MooJin Woo, Jiwoo Oh, Hyeon Chan Chei, Keonyoung Oh
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Multi-Robot Learning-Informed Task Planning under Uncertainty AI summary
Abhish Khanal, Abhishek Paudel, Hung Pham, Gregory Stein
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Planning-Guided Diffusion Policy Learning for Contact-Rich Bimanual Object Reorientation AI summary
Xuanlin Li, Tong Zhao, Bo Ai, Xinghao Zhu, Jiuguang Wang, Tao Pang, Kuan Fang
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Quality over Quantity: Demonstration Curation via Influence Functions for Data-Centric Robot Learning AI summary
Haeone Lee, Taywon Min, Junsu Kim, Sinjae Kang, Fangchen Liu, Lerrel Pinto, Kimin Lee
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ActivePusher: Active Learning and Planning with Residual Physics for Nonprehensile Manipulation AI summary
Zhuoyun Zhong, Seyedali Golestaneh, Constantinos Chamzas
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AirIO: Learning Inertial Odometry with Enhanced IMU Feature Observability AI summary
Yuheng Qiu, CAN XU, Yutian Chen, Shibo Zhao, Junyi Geng, Sebastian Scherer
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Denoising Particle Filters: Learning State Estimation with Single-Step Objectives AI summary
Lennart Röstel, Berthold Bäuml
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Distributed First-Order and Second-Order Adaptive Hybrid Optimization for Multi-Robot Learning AI summary
Yilun Zhang, Xianghua Xie, Lu Zhang
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Fast Exploration Planning with Learning-Based Motion Time Prediction for Aerial Robots AI summary
Ziyu Wang, Qianli Dong, Xuebo Zhang, Shiyong Zhang, Haobo Xi, Zhe Ma, Mingxing Yuan
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MoE-Powered Fast VLMs Via Curriculum Learning-Based Knowledge Distillation: Taming Regular and Corner Cases in Autonomous Driving AI summary
Xue Zhao, Zhou Fang
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Temporal Action Representation Learning for Tactical Resource Control and Subsequent Maneuver Generation AI summary
Hoseong Jung, Sungil Son, Daesol Cho, Jonghae Park, Changhyun Choi, H. Jin Kim
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AutoFocus-IL: VLM-Based Saliency Maps for Data-Efficient Visual Imitation Learning without Extra Human Annotations AI summary
Litian Gong, Fatemeh Bahrani, Yutai Zhou, Amin Banayeeanzade, Jiachen Li, Erdem Bıyık
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OccLLaMA: A Unified Occupancy-Language-Action World Model for Enhancing Motion Planning Via Multi-Task Learning AI summary
Julong Wei, Shanshuai Yuan, Pengfei Li, Xinyi Quan, Lei Tai, Jieru Zhao, Zhongxue Gan, Wenchao Ding
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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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Learning 6D Object Pose Estimation with Event Cameras Using Synthetic Data and Domain Randomization AI summary
Oussama Abdul Hay, Xiaoqian Huang, Muhammad Ahmed Humais, Abdulla Ayyad, Randa Almadhoun, Yahya Zweiri
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LEAR: Learning Edge-Aware Representations for Event-To-LiDAR Localization AI summary
Kuangyi Chen, Jun Zhang, Yuxi Hu, Yi Zhou, Friedrich Fraundorfer
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OHMM-PA: A Learning from Demonstration Approach Using Online Hidden Markov Models with Path Planning AI summary
Jan Irsperger, Diego Fernandez Prado, and Eckehard Steinbach
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How Bumpy Is It? Incremental Online Learning of Terrain-Induced Bumpiness Costs for Off-Road Vehicles AI summary
Haoyu Yuan, Tianwei Niu, Shengshan Ma, Runjiao Bao, Shoukun Wang
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Robust Person Re-Identification for Service Robots Via One-Class Body-Part Transformer and Continual Learning AI summary
Enrique Aleman-Gallegos, Sven Wachsmuth
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Neural Internal Model Control: Learning a Robust Control Policy Via Predictive Error Feedback AI summary
Feng Gao, Chao Yu, Yu Wang, Yi Wu
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Communication-Efficient Module-Wise Federated Learning for Grasp Pose Detection in Cluttered Environments AI summary
Woonsang Kang, Joohyung Lee, Seungjun Kim, Jungchan Cho, Yoonseon Oh
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Manipulating Elasto-Plastic Objects with 3D Occupancy and Learning-Based Predictive Control AI summary
Zhen ZHANG, Xiangyu CHU, Yunxi TANG, Lulu ZHAO, Jing HUANG, Zhongliang Jiang, K. W. Samuel Au
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Iterative Learning-Based Centre-Of-Mass Impedance Control for Articulated-Soft Humanoid Robots AI summary
Yibin Wang, Lin Zhou, Sacha Morris, Shan Luo, Emmanouil Spyrakos-Papastavridis
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Learning Robust Control Policies for Inverted Pose on Miniature Blimp Robots AI summary
Yuanlin Yang, Lin Hong, Fumin Zhang
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Learning Semantic Priorities for Autonomous Target Search AI summary
Max Lodel, Nils Wilde, Robert Babuska, Javier Alonso-Mora
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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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Learning Neural Observer-Predictor Models for Limb-Level Sampling-Based Locomotion Planning AI summary
Abhijeet Mangesh Kulkarni, Ioannis Poulakakis, Guoquan (Paul) Huang
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Hybrid Model-Learning Decoupled Control for Tendon-Driven Multi-Segment Continuum Robotic Bronchoscope AI summary
Yawen Deng, Chao Guo, Wenhao He, Gui-Bin Bian
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Scaling Single Human Demonstrations for Imitation Learning Using Generative Foundational Models AI summary
Nick Heppert, Minh Quang Nguyen, Abhinav Valada
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Manifold-Constrained Hamilton-Jacobi Reachability Learning for Decentralized Multi-Agent Motion Planning AI summary
Qingyi Chen, Ruiqi Ni, Junyoung Kim, Ahmed H. Qureshi
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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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Learning Quadrupedal Locomotion for a Heavy Hydraulic Robot Using an Actuator Model AI summary
Minho Lee, Hyeonseok Kim, Jin Tak Kim, Sangshin Park, Jeong Hyun Lee, Jungsan Cho, Jemin Hwangbo
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R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations AI summary
Connor Mattson, Varun Raveendra, Ellen Novoseller, Nicholas Waytowich, Vernon Lawhern, Daniel Brown
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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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DYNAMO: Dependency-Aware Deep Learning Framework for Articulated Assembly Motion Prediction AI summary
Mayank Patel, Rahul Jain, Asim Unmesh, Karthik Ramani
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Multi-Robot Trajectory Planning Via Constrained Bayesian Optimization and Local Cost Map Learning with STL-Based Conflict Resolution AI summary
Sourav Raxit, Abdullah Al Redwan Newaz, Jose Fuentes, Paulo Padrao, Ana Cavalcanti, Leonardo Bobadilla
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