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2892 result(s) for “and Learning for Soft Robots” Page 13 of 58
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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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Intelligent Mechanical Characterization of Date Fruits for Automated Harvesting Grippers AI summary
Shahd Shami, Obadah Wali, Eric Feron, Shinkyu Park, Syed Muhammad Alam
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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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Closed-Loop Cross-Scale Motion of Decoupled Light and Tendon Driven Miniature Continuum Robots AI summary
Cheng Zhou, Xiaotong Qin, Haoyang Yu, Jingyuan Xia, Zheng Xu, Zecai Lin, Anzhu Gao
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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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An Annotation-To-Detection Framework for Autonomous and Robust Vine Trunk Localization in the Field by Mobile Agricultural Robots AI summary
Dimitrios Chatziparaschis, Elia Scudiero, Brent Sams, Konstantinos Karydis
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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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Graph-Based Multi-Agent Reinforcement Learning for Scalable UAV Formation Control and Target Tracking AI summary
Haowen Wang, Shuting Zhang, Guangchen Li
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GRATE: A Graph Transformer-Based Deep Reinforcement Learning Approach for Time-Efficient Autonomous Robot Exploration AI summary
Haozhan Ni, Jingsong Liang, Chenyu He, Yuhong Cao, Guillaume Adrien Sartoretti
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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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SCIZOR: A Self-Supervised Approach to Data Curation for Large-Scale Imitation Learning AI summary
Yu Zhang, Yuqi Xie, Huihan Liu, Rutav Shah, Michael Wan, Linxi Fan, Yuke Zhu
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Continual Learning for Traversability Prediction with Uncertainty-Aware Adaptation AI summary
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A Blockchain Framework for Equitable and Secure Task Allocation in Robot Swarms AI summary
Hanqing Zhao, Alexandre Pacheco, Giovanni Beltrame, Xue Liu, Marco Dorigo, Gregory Dudek
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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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TreeIRL: Safe Urban Driving with Tree Search and Inverse Reinforcement Learning AI summary
Momchil Tomov, Sang Uk Lee, Hansford Hendargo, Jinwook Huh, Teawon Han, Forbes Howington, Rafael Rodrigues da Silva, Gianmarco Bernasconi, Marc Heim, Samuel Findler, Xiaonan Ji, Alexander Boule, Michael Napoli, Kuo Chen, Jesse Miller, Boaz Cornelis Floor, Yunqing Hu
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Efficiently Learning Robust Torque-Based Locomotion through Reinforcement with Model-Based Supervision AI summary
Yashuai Yan, Tobias Egle, Christian Ott, Dongheui Lee
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Curriculum Reinforcement Learning for Quadrotor Racing with Random Obstacles AI summary
Fangyu Sun, Fanxing Li, Yu Hu, Linzuo Zhang, Yueqian Liu, Wenxian Yu, Danping Zou
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Morphogenetic Assembly and Adaptive Control for Heterogeneous Modular Robots AI summary
Chongxi Meng, Da Zhao, Yifei Zhao, Minghao Zeng, Yanmin Zhou, Zhipeng Wang, Bin He
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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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ORN-CBF: Learning Observation-Conditioned Residual Neural Control Barrier Functions Via Hypernetworks AI summary
Bojan Derajic, Sebastian Bernhard, Wolfgang Hoenig
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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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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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Do You Know Where Your Camera Is? View-Invariant Policy Learning with Camera Conditioning AI summary
Tianchong Jiang, Jingtian Ji, Xiangshan Tan, Jiading Fang, Anand Bhattad, Vitor Guizilini, Matthew Walter
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Constructing and Navigating Connected Air Roads: A Safety-Critical Reinforcement Learning Approach for Multi-UAV Systems AI summary
Qihan Qi, Haojie Xia, Xinsong Yang, Jianquan Lu, Xingxing Ju
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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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ARMOR: Attack-Resilient Reinforcement Learning Control for UAVs AI summary
Pritam Dash, Ethan Chan, Nathan P. Lawrence, Karthik Pattabiraman
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Global End-Effector Pose Control of an Underactuated Aerial Manipulator via Reinforcement Learning AI summary
Shlok Deshmukh, Javier Alonso-Mora, Sihao Sun
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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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Learning What Matters: Task Tailored Dynamics Models through Differentiable MPC AI summary
Jan Węgrzynowski, Piotr Kicki, Grzegorz Czechmanowski, Krzysztof, Tadeusz Walas
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Learning Dynamical System-Based Robot Motions from Demonstrations Via ODE-Driven Diffeomorphic Mappings AI summary
Haoyu Zhang, Long Cheng
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Crowd-FM: Learned Optimal Selection of Conditional Flow Matching-Generated Trajectories for Crowd Navigation AI summary
Antareep Singha, Laksh Nanwani, Mathai Mathew Pulicken, Samkit Jain, Phani Teja Singamaneni, Arun Kumar Singh, Madhava Krishna
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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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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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EDAIL: Adversarial Imitation Learning Via Exploration-Driven Data Augmentation AI summary
Pengcheng Li, qiang fang, Xin Xu
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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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FALCO: Foundation Model Guided Active Learning for Cost-Effective Off-Road Freespace Detection AI summary
Shuai Wang, Chenxin Li, Yintong Chen, Yaobo Jia, Hongze Li, Chen Min, Jilin Mei, Huijing Zhao
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T2S: Tokenized Skill Scaling for Lifelong Imitation Learning AI summary
Hongquan Zhang, Jingyu Gong, Zhang Zhizhong, Xin TAN, Yuan Xie
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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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Bi-Hap: A Bi-Directional Learning-Based Control and Momentum-Based Haptic Feedback System for Dexterous In-Hand Telemanipulation AI summary
Haoyang Wang, Haoran Guo, Zhengxiong Li, Lingfeng Tao
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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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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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Scalable Multi-Agent Reinforcement Learning Framework for Multi-Machine Tending AI summary
Abdalwhab Bakheet Mohamed Abdalwhab, Giovanni Beltrame, David St-Onge
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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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Receding Horizon Reinforcement Learning with Autoregressive Model for Motion Control of Autonomous Vehicles AI summary
Xin Yin, Haotian CAO, Xinglong Zhang, Qingwen Ma, Xin Xu, Haibin Xie
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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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Transformer-Based Hierarchical Reinforcement Learning for Sequential Decision-Making in Swarm Confrontation AI summary
Ruozhai Sun, Qizhen Wu, Lei Chen
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Air Compressor Control Optimization in Commercial Vehicles Using Reinforcement Learning AI summary
Fabian Schuppert,,∗, Raul Gorek,, Bodo Rosenhahn and Timo von Marcard
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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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