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1280 result(s) for “Visual Learning” Page 16 of 26
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FT-CPG: Learning Central Pattern Generators for Fault-Tolerant Quadruped Locomotion under Multi-Joint Failures AI summary
Pei Zhang, Zhaobo Hua, Qiyu Qiu, Jinliang Ding
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Learning Actuator-Aware Spectral Submanifolds for Precise Control of Continuum Robots AI summary
Paul Leonard Wolff, Hugo Buurmeijer, Luis Pabon, John Irvin Alora, Mark Leone, Roshan Kaundinya, Amirhossein Kazemipour, Robert Kevin Katzschmann, Marco Pavone
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Learning Autonomous and Safe Quadruped Traversal of Complex Terrains Using Multi-Layer Elevation Maps AI summary
Yeke Chen, Ji Ma, Zeren Luo, Yimin Han, YINZHAO DONG, Bowen Xu, Peng Lu
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Adaptive Legged Locomotion Via Online Learning for Model Predictive Control AI summary
Hongyu Zhou, Xiaoyu Zhang, Vasileios Tzoumas
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Hierarchical DLO Routing with Reinforcement Learning and In-Context Vision-Language Models AI summary
Mingen Li, Houjian Yu, Yixuan Huang, Youngjin Hong, Hantao Ye, Changhyun Choi
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KISS-IMU: Self-Supervised Inertial Odometry with Motion-Balanced Learning and Uncertainty-Aware Inference AI summary
Jiwon Choi, Hogyun Kim, Geonmo Yang, Juhui Lee, Younggun Cho
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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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HIPPO-MAT: Decentralized Task Allocation Using GraphSAGE and Multi-Agent Deep Reinforcement Learning AI summary
Lavanya Ratnabala,, Robinroy Peter,, Aleksey Fedoseev, and Dzmitry Tsetserukou
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Estimating Deformable-Rigid Contact Interactions for a Deformable Tool Via Learning and Model-Based Optimization AI summary
Mark Van der Merwe, Miquel Oller, Dmitry Berenson, Nima Fazeli
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Reinforcement Learning for Robust Athletic Intelligence: Lessons from the 2nd �AI Olympics with RealAIGym� Competition AI summary
Felix Wiebe, Niccolò Turcato, Alberto Dalla Libera, Jean Seong Bjorn Choe, Bumkyu Choi, Tim Faust, Habib Maraqten, Erfan Aghadavoodi Jolfaei, Marco Calì, Alberto Sinigaglia, Giulio Giacomuzzo, Ruggero Carli, Diego Romeres, Jong-kook Kim, Gian Antonio Susto, Shubham Vyas, Dennis Mronga, Boris Belousov, Jan Peters, Frank Kirchner, Shivesh Kumar
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PokeNet: Learning Kinematic Models of Articulated Objects from Human Observations AI summary
Anmol Gupta, Weiwei Gu, Omkar Deepak Patil, Jun Ki Lee, Nakul Gopalan
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Learning Social Navigation from Positive and Negative Demonstrations and Rule-Based Specifications AI summary
Chanwoo Kim, JiHwan Yoon, Hyeonseong Kim, Taemoon Jeong, Changwoo Yoo, Seungbeen Lee, SooHwan Byeon, Hoon Chung, Matthew Pan, Jean Oh, Kyungjae Lee, Sungjoon Choi
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Kungfubot2: Learning Versatile Motion Skills for Humanoid Whole-Body Control AI summary
Jinrui Han, Weiji Xie, Jiakun Zheng, Jiyuan Shi, Weinan Zhang, Ting Xiao, Chenjia Bai
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What Matters in Learning a Zero-Shot Sim-To-Real RL Policy for Quadrotor Control? a Comprehensive Study AI summary
Jiayu Chen, Chao Yu, Yuqing Xie, Feng Gao, Yinuo Chen, Shu'ang Yu, Wenhao Tang, Shilong Ji, Mo Mu, Yi Wu, Huazhong Yang, Yu Wang
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Distributed AI for Robotics AI summary
Satyabhama Singh, Lars Wulfert, Hendrik Woehrle
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History-Aware Visuomotor Policy Learning Via Point Tracking AI summary
Jingjing Chen, Hongjie Fang, Chenxi Wang, Shiquan Wang, Cewu Lu
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PDLNet: Learning Point Cloud Distortion for Unsupervised Cross-Domain Point Cloud Segmentation in Adverse Weather AI summary
Shuhua Dong, Minxian Li, Haofeng Zhang
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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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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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Hydrodynamics Regularization in Reinforcement Learning for Navigating Crowded Scenarios AI summary
Lai Pingrui, Pan Renjie, Yu Jiaqi, Yang Hua
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Self-Organised Sequential Multi-Agent Reinforcement Learning for Closely Cooperation Tasks AI summary
Hao Fu, YOU MINGYU, Zhou Hongjun, Bin He
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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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Teaching to Individual Needs: Bidirectional Teacher-Student Learning for Wheeled-Legged Locomotion AI summary
Guangsheng Li, Charles Wu, XinHua Zheng, shiyu zhu, Shenglan Liu
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Tiny-DroNeRF: Tiny Neural Radiance Fields Aboard Federated Learning-Enabled Nano-Drones AI summary
Ilenia Carboni, Elia Cereda, Lorenzo Lamberti, Daniele Malpetti, Francesco Conti, Daniele Palossi
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DRL-SFM: Learning Social Navigation from Costmaps and Social Forces for Mobile Robots and Intelligent Wheelchairs AI summary
Matthias Kalenberg, Kilian Gerhard Probst, Andreas Gründer, Christopher May, Jonas Walter, Jörg Franke
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Learning to Grasp by Integrating Human Preferences and Success Feedback AI summary
Juyeol Park, Byungjin Ko, Jong-Wan Yoon, Taejoon Park, Homin Park
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Physics-Informed Machine Learning for Efficient Sim-To-Real Data Augmentation in Micro-Object Pose Estimation AI summary
Tan Zongcai, Lan Wei, Dandan Zhang
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Learning-Based Kinematic Modeling for Concentric Tube Robot: Addressing Its Nonlinearity and Snapping Behavior AI summary
Gowoon Jeong, Seong Young Ko
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Learning a Shape-Adaptive Assist-As-Needed Rehabilitation Policy from Therapist-Informed Input AI summary
Zhimin Hou, Jiacheng Hou, Xiao Chen, Hamid Sadeghian, Tianyu REN, Sami Haddadin
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Deep Photonic Reservoir Computer Meets UAV Control: An Ultra-Fast Learning-Based Compensator for Agile Flight in Confined Space AI summary
Qinxiao Ma, Ruiqian Li, Cheng Wang, Yang Wang
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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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Pushing the Limits of Reactive Navigation: Learning to Escape Local Minima AI summary
Isar Meijer, Michael Pantic, Helen Oleynikova, Roland Siegwart
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Learning Flexible Job Shop Scheduling under Limited Buffers and Material Kitting Constraints AI summary
Shishun Zhang, Juzhan Xu, Yidan Fan, Chenyang Zhu, Ruizhen Hu, YONGJUN WANG, Kai Xu
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Beyond Scalar Rewards: Distributional Reinforcement Learning with Preordered Objectives for Safe and Reliable Autonomous Driving AI summary
Ahmed Abouelazm, Jonas Michel, Daniel Bogdoll, Philip Schörner, Johann Marius Zöllner
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Embracing Bulky Objects with Humanoid Robots: Whole-Body Manipulation with Reinforcement Learning AI summary
Chunxin ZHENG, Kai Chen, Zhihai Bi, Yulin Li, Liang Pan, Jinni ZHOU, Haoang Li, Jun Ma
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HoMeR: Learning In-The-Wild Mobile Manipulation Via Hybrid Imitation and Whole-Body Control AI summary
Priya Sundaresan, Rhea Malhotra, Phillip Miao, Jingyun Yang, Jimmy Wu, Hengyuan Hu, Rika Antonova, Francis Engelmann, Dorsa Sadigh, Jeannette Bohg
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DexCtrl: Sim-To-Real Dexterity with Adaptive Controller Learning AI summary
Shuqi Zhao, Ke Yang, Yuxin Chen, Chenran Li, Yichen Xie, Xiang Zhang, Changhao Wang, Masayoshi Tomizuka
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Towards Learning Boulder Excavation with Hydraulic Excavators AI summary
Jonas Gruetter, Lorenzo Terenzi, Pascal Arturo Egli, Marco Hutter
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Online Planning for Multi-UAV Pursuit-Evasion in Unknown Environments Using Deep Reinforcement Learning AI summary
Jiayu Chen, Chao Yu, Guosheng Li, Wenhao Tang, Shilong Ji, Xinyi Yang, Botian Xu, Huazhong Yang, Yu Wang
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Learning Location-Specific Latent Behavior Priors for Occupancy Prediction in Automated Driving AI summary
Julian Schmidt, Mario Ruoff, Christoph Rist, Julian Jordan
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Learning Controlled Separation of Small Objects between Two Fingers with a Tactile Skin AI summary
Ulf Kasolowsky, Berthold Bäuml
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RoboPCA: Pose-Centered Affordance Learning from Human Demonstrations for Robot Manipulation AI summary
Zhanqi Xiao, Ruiping Wang, Xilin Chen
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Temporal Transfer Learning for Traffic Optimization with Coarse-Grained Advisory Autonomy AI summary
Jung-Hoon Cho, Sirui Li, Jeongyun Kim, Cathy Wu
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Flexible Locomotion Learning with Diffusion Model Predictive Control AI summary
Runhan Huang, Haldun Balim, HENG YANG, Yilun Du
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Learning Task-Invariant Properties Via Dreamer: Enabling Efficient Policy Transfer for Quadruped Robots AI summary
Junyang Liang, Yuxuan Liu, Yanbin Chang, Junfan Lin, JunKai JI, Hui Li, Changxin Huang, Jianqiang Li
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DA-MMP: Learning Coordinated and Accurate Throwing with Dynamics-Aware Motion Manifold Primitives AI summary
Chi Chu, Huazhe Xu
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JuggleRL: Mastering Ball Juggling with a Quadrotor Via Deep Reinforcement Learning AI summary
Shilong Ji, Yinuo Chen, Chuqi Wang, Jiayu Chen, Ruize Zhang, Feng Gao, Wenhao Tang, Shu'ang Yu, Sirui Xiang, Xinlei Chen, Chao Yu, Yu Wang
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CBF-RL: Safety Filtering Reinforcement Learning in Training with Control Barrier Functions AI summary
Lizhi Yang, Blake Werner, Massimiliano de Sa, Aaron Ames
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