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2843 result(s) for “Machine Learning for Robot Control” Page 17 of 57
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ADGaussian: Generalizable Gaussian Splatting for Autonomous Driving Via Multi-Modal Joint Learning AI summary
Qi Song, Chenghong Li, Haotong Lin, Sida Peng, Rui Huang
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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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SeFA-Policy: Fast and Accurate Visuomotor Policy Learning with Selective Flow Alignment AI summary
Rong Xue, Jiageng Mao, Mingtong Zhang, Yue Wang
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Orbital Stabilization and Time Synchronization of Unstable Periodic Motions in Underactuated Robots AI summary
Maksim Surov, Maksim Grigorov, Sergei V. Gusev, Oleg Yu. Sumenkov
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Unveiling Uncertainty-Aware Autonomous Cooperative Learning Based Planning Strategy AI summary
Shiyao Zhang, Liwei Deng, Shuyu Zhang, Weijie Yuan, Hong Zhang
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ROPA: Synthetic Robot Pose Generation for RGB-D Bimanual Data Augmentation AI summary
Jason Chen, I-Chun Arthur Liu, Gaurav Sukhatme, Daniel Seita
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CAPS: Context-Aware Priority Sampling for Enhanced Imitation Learning in Autonomous Driving AI summary
Hamidreza Mirkhani, Behzad Khamidehi, Ehsan Ahmadi, mohammed elmahgiubi, Weize Zhang, Fazel Arasteh, Umar Rajguru, Kasra Rezaee, Dongfeng Bai
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TransLocNet: Cross-Modal Attention for Aerial-Ground Vehicle Localization with Contrastive Learning AI summary
Phu Pham, Damon Conover, Aniket Bera
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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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KAN Policy: Learning Efficient and Smooth Robotic Trajectories Via Kolmogorov-Arnold Networks AI summary
Zikang Chen, Fei Gao, Ziya Yu, and Peng Li
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FlightBench: Benchmarking Learning-Based Methods for Ego-Vision-Based Quadrotors Navigation AI summary
Shu'ang Yu, Chao Yu, Feng Gao, Yi Wu, Yu Wang
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Flow-Aided Flight through Dynamic Clutters from Point to Motion AI summary
Bowen Xu, Zexuan Yan, Minghao Lu, Xiyu Fan, Yi Luo, Youshen Lin, Zhiqiang Chen, Yeke Chen, Qiyuan Qiao, Peng Lu
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When the Adversary Knows You Better: Adversarial Training for Learning-Based Legged Robots AI summary
Qinchao Xu, Satoshi Yagi, Satoshi Yamamori, Jun Morimoto
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Chance-Constrained Convex MPC for Robust Quadruped Locomotion under Parametric and Additive Uncertainties AI summary
Ananya Trivedi, Sarvesh Prajapati, Mark Zolotas, Michael Everett, Taskin Padir
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Progress Constraints for Reinforcement Learning in Behavior Trees AI summary
Finn Rietz, Mart Karta�ev, Petter Ogren, Johannes A. Stork
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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 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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From VO to NAO: Reactive Robot Navigation Using Velocity and Acceleration Obstacles AI summary
Asher Stern, Oz Ben-Yosef, Zvi Shiller
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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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MonoDuo: Using One Robot Arm to Learn Bimanual Policies AI summary
Sandeep Bajamahal, Lawrence Yunliang Chen, Toru Lin, Zehan Ma, Jitendra Malik, Ken Goldberg
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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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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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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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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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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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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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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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Robust Monocular Visual Odometry Via Dual-Paradigm Curriculum Learning AI summary
Assaf Lahiany, Oren Gal
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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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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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LoGoPlanner: Localization Grounded Navigation Policy with Metric-Aware Visual Geometry AI summary
Jiaqi Peng, Wenzhe Cai, Yuqiang Yang, Tai Wang, Yuan Shen, Jiangmiao Pang
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Humanoid Everyday: A Comprehensive Robotic Dataset for Open-World Humanoid Manipulation AI summary
Zhenyu Zhao, Hongyi Jing, Xiawei Liu, Jiageng Mao, Abha Jha, Hanwen Yang, Rong Xue, Sergey Zakharov, Vitor Guizilini, YUE WANG
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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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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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Precedence-Aware Multi-UAV Task Allocation with an Attention-Based Reinforcement Learning Framework AI summary
Xurui Liu
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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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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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Policy Diversification through Representation Distinguishability Regularization for Multi-Actor Deep Reinforcement Learning AI summary
Meng XU, Xinhong Chen, Shuguang Wang, Guanyi Zhao, Jianping Wang
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Rainbow-DemoRL: Combining Improvements in Demonstration-Augmented Reinforcement Learning AI summary
Dwait Bhatt, Shih-Chieh Chou, Nikolay Atanasov
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DexSinGrasp: Learning a Unified Policy for Dexterous Object Singulation and Grasping in Densely Cluttered Environments AI summary
Lixin Xu, Zixuan Liu, ZHEWEI GUI, Jingxiang Guo, Zeyu Jiang, Tongzhou Zhang, Zhixuan Xu, Chongkai Gao, Lin Shao
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Learning Push-Grasp Synergy for Occluded Objects in Cluttered Environments AI summary
Ziang Li, Haorui Wu, Zhiqi Chen, Haozhe Zhang, Yuzhe Huang, Changshui Zhang
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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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KiRAS: Keyframe Guided Self-Imitation for Robust and Adaptive Skill Learning in Quadruped Robots AI summary
Xiaoyi Wei, Peng Zhai, Jiaxin Tu, Yueqi ZHang, Yuqi LI, Zonghao ZHang, Hu Zhou, Lihua ZHang
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Multivariate Active Learning and Adaptive Sampling with Multi-Kernel Gaussian Processes AI summary
Thien Hoang Nguyen, Nathan Wallace, Nicholas Harrison, and Salah Sukkarieh
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SEAL: Towards Safe Autonomous Driving Via Skill-Enabled Adversary Learning for Closed-Loop Scenario Generation AI summary
Benjamin Stoler, Ingrid Navarro, Jonathan Francis, Jean Oh
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Tactile Recognition of Both Shapes and Materials with Automatic Feature Optimization-Enabled Meta Learning AI summary
Hongliang Zhao, Wenhui Yang, Yang Chen, Zhuorui Wang, Baiheng Liu, Longhui Qin
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Transferring Policy of Offline Reinforcement Learning from Hybrid Dataset to Real World Via Progressive Neural Network AI summary
Pengyu Zhao, Zheng Fang, Tongxu Ai, Eric Nichols, Randy Gomez, Bo He, Guangliang Li
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A Champion-Level Vision-Based Reinforcement Learning Agent for Competitive Racing in Gran Turismo 7 AI summary
Hojoon Lee, Takuma Seno, Jun Jet Tai, Kaushik Subramanian, Kenta Kawamoto, Peter Stone, Peter Wurman
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