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961 result(s) for “Sensorimotor Learning” Page 7 of 20
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DexKnot: Generalizable Visuomotor Policy Learning for Dexterous Bag-Knotting Manipulation AI summary
Jiayuan Zhang, Ruihai Wu, Haojun Chen, Yuran Wang, Yifan Zhong, Ceyao Zhang, Yaodong Yang, Yuanpei Chen
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Learning Fast, Tool-Aware Collision Avoidance for Collaborative Robots AI summary
Joonho Lee, Yunho Kim, Seok Joon Kim, Van Quan Nguyen, Young Jin Heo
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Learning Multiple Initial Solutions to Optimization Problems AI summary
Elad Sharony, Heng Yang, Tong Che, Marco Pavone, Shie Mannor, Peter Karkus
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Non-Contact Tactile Perception in Human-Robot Interaction: Deep Learning-Enhanced Super-Resolution Spatial Sensing AI summary
Shuyao Zhou, Jikai Liang, Zhengjie Zhu, Kong Depeng, Zhiao He, Honghao Lyu, Geng Yang
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Flow with the Force Field: Learning 3D Compliant Flow Matching Policies from Force and Demonstration-Guided Simulation Data AI summary
Tianyu Li, Yihan Li, Zizhe Zhang, Nadia Figueroa
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Learning Constraint-Aware Dynamical Systems from Human Demonstrations for Constrained Manipulation Tasks AI summary
Soyoun Sung, Keehoon Kim
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ViSA-Flow: Accelerating Robot Skill Learning Via Large-Scale Video Semantic Action Flow AI summary
Changhe Chen, Quantao Yang, Xiaohao Xu, Nima Fazeli, Olov Andersson
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FUNCanon: Learning Pose-Aware Action Primitives Via Functional Object Canonicalization for Generalizable Robotic Manipulation AI summary
Hongli Xu, Lei Zhang, Xiaoyue Hu, Boyang Zhong, Kaixin Bai, Zoltan-Csaba Marton, Zhenshan Bing, Zhaopeng Chen, Alois Knoll, Jianwei Zhang
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KALIKO: Kalman-Implicit Koopman Operator Learning for Prediction of Nonlinear Dynamical Systems AI summary
Albert H. Li, Ivan Dario Jimenez Rodriguez Rodriguez, Joel Burdick, Yisong Yue, Aaron Ames
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SIGN: Safety-Aware Image-Goal Navigation for Autonomous Drones Via Reinforcement Learning AI summary
Zichen Yan, Rui Huang, Lei He, Shao Guo, Lin Zhao
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TACC: Multi-Agent Reinforcement Learning for Task Allocation with Communication Coordination in UAV Swarms AI summary
Zehao Xiong, Yexun Xi, Yizhe Cao, Chuan Li, Rong Li, Lixian Shen and Jie Li∗
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Touch with Insight: Physics-Aware Data-Driven Learning for EIT-Based Tactile Sensing AI summary
Kiyanoush Nazari, Yunqi Huang, David Hardman, Fumiya Iida, Thomas George Thuruthel
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Learning Unified Probabilistic Spatial Relation Representation from Visual Demonstrations AI summary
Paul Emil Hannuschka, Jianfeng Gao, Tamim Asfour
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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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Dribble Master: Learning Agile Humanoid Dribbling through Legged Locomotion AI summary
Zhuoheng Wang, Jinyin Zhou, Qi Wu
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PLOP: Particle Filtering for Learning Object Physics from Robot Interaction Videos AI summary
Junyu Nan, Sergey Zakharov, Kris Kitani
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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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Sce2DriveX: A Generalized MLLM Framework for Scene-To-Drive Learning AI summary
Zhao Rui, Yuan Qirui, li jinyu, Hu Haofeng, Li Yun, Gao Zhenhai, Gao Fei
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Sight Over Site: Perception-Aware Reinforcement Learning for Efficient Robotic Inspection AI summary
Richard Kuhlmann, Jakob Wolfram, Boyang Sun, Jiaxu Xing, Davide Scaramuzza, Marc Pollefeys, Cesar Cadena
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Edged USLAM: Edge-Aware Event-Based SLAM with Learning-Based Depth Priors AI summary
Şebnem Sarıözkan, HÃ1⁄4rkan Şahin, Olaya Álvarez-TuñÃ3n, Erdal Kayacan
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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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Learning to Throw Objects Safely in Multi-Obstacle Environments AI summary
Mohammadreza Kasaei, Klemen Voncina, Hamidreza Kasaei
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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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Actron3D: Learning Actionable Neural Functions from Videos for Transferable Robotic Manipulation AI summary
Anran Zhang, Hanzhi Chen, Yannick Burkhardt, Yao Zhong, Johannes Betz, Helen Oleynikova, Stefan Leutenegger
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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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Best of Sim and Real: Decoupled Visuomotor Manipulation Via Learning Control in Simulation and Perception in Real AI summary
Jialei Huang, Zhao-Heng Yin, Yingdong Hu, Shuo Wang, Xingyu Lin, Yang Gao
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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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RoboHitch: Learning Visual Affordance from Disordered Keypoints for Hitch Knots Tying AI summary
Jiahui Zuo, Boyang Zhang, Fumin Zhang
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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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