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961 result(s) for “Sensorimotor Learning” Page 3 of 20
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Learning from Planned Data to Improve Robotic Pick-And-Place Planning Efficiency AI summary
Liang Qin, Weiwei Wan, Jun Takahashi, Ryo Negishi, Masaki Matsushita, Kensuke Harada
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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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MTIL: Encoding Full History with Mamba for Temporal Imitation Learning AI summary
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Multi-Dimensional Perturbation Strategies for Adversarial Attacks in Multi-Agent Deep Reinforcement Learning AI summary
Runwen Chen, shuo feng, Tianzhe Qi, yucheng shi, Xiaorong Hu, Yang Zhao, bo sun, Zhao Jin, Yizhe Luo, Mingliang Xu
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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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Agile Hauler Curriculum: Learning High-Speed Locomotion for Robots under Demanding Payloads AI summary
Yawen Zhou, Haopeng Tang, Huiqiao Fu, Peng Li
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Decentralized Reinforcement Learning for Multi-Agent Multi-Resource Allocation Via Dynamic Cluster Agreements AI summary
Antonio Marino, Esteban Restrepo, Claudio Pacchierotti, Paolo Robuffo Giordano
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Learning Traversability Cost Maps with Decomposed Uncertainties Via Continuous-State MEDIRL AI summary
Gwanhyeong Song, Dongjae Lee, Ayoung Kim
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ETac: A Lightweight and Efficient Tactile Simulation Framework for Learning Dexterous Manipulation AI summary
Zhe Xu, Feiyu Zhao, Xiyan Huang, Chenxi Xiao
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TOLEBI: Learning Fault-Tolerant Bipedal Locomotion Via Online Status Estimation and Fallibility Rewards AI summary
Hokyun Lee, Woo-Jeong Baek, Junhyeok Cha, Jaeheung Park
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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 Teacher: Leveraging Mixed-Skill Demonstrations for Robust Imitation Learning AI summary
Saharsh Saharsh, Shubham Sonkar, Pushpak Jagtap, Ravi Prakash
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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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Learning-Based Observer for Coupled Disturbance AI summary
Jindou Jia, Meng Wang, Zihan Yang, Bin Yang, Yuhang Liu, Kexin Guo, Xiang Yu
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Lightweight Learning-Based Feature Selection for Real-Time Optical Flow Navigation on a Quadrotor Platform AI summary
Ali Abosaad, Jinjun Shan
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SPLC: Social Preference Learning for Crowd Robot Navigation AI summary
Zixuan Chen, Hao Fu, Haiwen Hu, Shiquan Zheng
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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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Multi-Task Reinforcement Learning of Drone Aerobatics by Exploiting Geometric Symmetries AI summary
Zhanyu Guo,, Zikang Yin,, Guobin Zhu,, Shiliang Guo, and Shiyu Zhao∗
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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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Learning Composable Skills by Discovering Spatial and Temporal Structure with Foundation Models AI summary
Neil Nie, Wenlong Huang, Jiayuan Mao, Li Fei-Fei, Weiyu Liu, Jiajun Wu
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Learning-Based Robust Control: Unifying Exploration and Distributional Robustness for Reliable Robotics Via Free Energy AI summary
Hozefa Jesawada, Giovanni Russo, Abdalla Swikir, Fares Abu-Dakka
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Quantum Machine Learning and Grover�s Algorithm for Quantum Optimization of Robotic Manipulators AI summary
Hassen Nigatu Sirag, Gaokun Shi, Jituo Li, Jin Wang, GuoDong Lu, Howard Li
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Reinforcement Learning for Active Perception in Autonomous Navigation AI summary
Grzegorz Malczyk, Mihir Kulkarni, Kostas Alexis
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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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Parallel Heuristic Search As Inference for Actor-Critic Reinforcement Learning Models AI summary
Hanlan Yang, Itamar Mishani, Luca Pivetti, Zachary Kingston, Maxim Likhachev
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Robust Monocular Visual Odometry Via Dual-Paradigm Curriculum Learning AI summary
Assaf Lahiany, Oren Gal
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EgoMI: Learning Active Vision and Whole-Body Manipulation from Egocentric Human Demonstrations AI summary
Justin Yu, Yide Shentu, Di Wu, Pieter Abbeel, Ken Goldberg, Shiyao Wu
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Demonstration-Augmented Deep Reinforcement Learning with Mixed Reality Human-In-The-Loop Guidance AI summary
Mohammad-Ehsan Matour, Alexander Winkler
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Learning Dexterous Manipulation Skills from Imperfect Simulations AI summary
Elvis Hsieh, Wen-Han Hsieh, Yen-Jen Wang, Toru Lin, Jitendra Malik, Koushil Sreenath, Haozhi Qi
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Risk-Aware Reinforcement Learning with Bandit-Based Adaptation for Quadrupedal Locomotion AI summary
Yuanhong Zeng, Anushri Dixit
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Shifted Flow Policy: Uncertainty-Aware Time Reparameterization for Visuomotor Learning AI summary
Dasom Ahn, Chanhyuk Jung, Joonki Baek, Sungkeun Yoo, Byoung Chul Ko
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A Self-Supervised Learning Approach with Differentiable Optimization for UAV Trajectory Planning AI summary
Yufei Jiang, Yuanzhu Zhan, Harsh vardhan Gupta, Chinmay Mahendra Borde, Junyi Geng
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Simultaneous Deep Model-Based Reinforcement Learning and State Inference under Partial Observability AI summary
William Cong, Josiah Hanna
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Swimming under Constraints: A Safe Reinforcement Learning Framework for Quadrupedal Bio-Inspired Propulsion AI summary
Xinyu Cui, Fei Han, Hang Xu, Yongcheng Zeng, Luoyang Sun, RuiZhi Zhang, Jian Zhao, Haifeng Zhang, Weikun Li, Hao Chen, Jun Wang, Dixia Fan
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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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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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SHaRe-RL: Structured, Interactive Reinforcement Learning for Contact-Rich Industrial Assembly Tasks AI summary
Jannick Stranghöner, Philipp Hartmann, Lisa-Marie Weigelt, Marco Braun, Sebastian Wrede, Klaus Neumann
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Precedence-Aware Multi-UAV Task Allocation with an Attention-Based Reinforcement Learning Framework AI summary
Xurui Liu
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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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Full-Scale Autonomous Highway Inspection with Quadruped Robot: Multi-Level Locomotion Learning in Complex Environments AI summary
Chenxiang Ma, Chengcheng Xu, Feng Wang
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RM-RL: Role-Model Reinforcement Learning for Precise Robot Manipulation AI summary
Xiangyu Chen, Chuhao Zhou, Yuxi Liu, Jianfei Yang
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Proactive Risk-Aware Trajectory Planning for Autonomous Driving in Unstructured Environments Via Reinforcement Learning with Adaptive Reward Design AI summary
Jiawei Du, Weiming Qu, Shenghai Yuan, Jia Wang, qifei bai, chengguang li, Xihong Wu, Dingsheng Luo
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Overcoming Imperfect Kinematics in Surgical Robotics through Sim-To-Real Visuomotor Learning AI summary
Zhaoxuan Yan, Kaizhong Deng, Zhaoyang Jacopo Hu, George Mylonas, Daniel Elson
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Human2Nav: Learning Crowd Navigation from Human Videos across Robots Via Feasibility-Guided Flow Matching AI summary
Shenghong Zhang, JunJie Chen, Sichi Yan, Yutong Ban, Xiao Li
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Learning Generalizable Robot Policy with Human Demonstration Video as a Prompt AI summary
Xiang Zhu, Yichen Liu, Hezhong Li, Jianyu Chen
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OCRA: Object-Centric Learning with 3D and Tactile Priors for Human-To-Robot Action Transfer AI summary
Kuanning Wang, Ke Fan, Yuqian Fu, Siyu Lin, Hu Luo, Daniel Seita, Yanwei Fu, Yu-Gang Jiang, Xiangyang Xue
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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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DAPPER: Discriminability-Aware Policy-To-Policy Preference-Based Reinforcement Learning for Query-Efficient Robot Skill Acquisition AI summary
Yuki Kadokawa, Jonas Frey, Takahiro Miki, Takamitsu Matsubara, Marco Hutter
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Learning Motion Skills with Adaptive Assistive Curriculum Force in Humanoid Robots AI summary
Zhanxiang Cao, Yang Zhang, Buqing Nie, Huangxuan Lin, Haoyang Li, Yizhi Chen, Xiaokang Yang, Yue Gao
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