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1847 result(s) for “Learning Categories and Concepts” Page 5 of 37
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Learning Visual Quadrupedal Loco-Manipulation from Demonstrations
Zhengmao He, Kun Lei, Yanjie Ze, Koushil Sreenath, Zhongyu Li, Huazhe Xu
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Learning Adaptive Controller for Hydraulic Machinery Automation
Fang Nan, Marco Hutter
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Learning Locomotion for Quadruped Robots Via Distributional Ensemble Actor-Critic
Sicen Li, YiMing Pang, Panju Bai, Jiawei Li, Zhaojin Liu, Shihao Hu, Li-Quan Wang, Gang Wang
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RelationGrasp: Object-Oriented Prompt Learning for Simultaneously Grasp Detection and Manipulation Relationship in Open Vocabulary
Songting Liu, Tat Joo Teo, Zhiping Lin, Haiyue Zhu
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Learning Multi-Reference Frame Skills from Demonstration with Task-Parameterized Gaussian Processes
Mariano Ramirez Montero, Giovanni Franzese, Jens Kober, Cosimo Della Santina
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Fine Manipulation Using a Tactile Skin: Learning in Simulation and Sim-To-Real Transfer
Berthold Bäuml, Ulf Kasolowsky
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VTTB: A Visuo-Tactile Learning Approach for Robot-Assisted Bed Bathing
Yijun Gu, Yiannis Demiris
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Robust Imitation Learning for Mobile Manipulator Focusing on Task-Related Viewpoints and Regions
Yutaro Ishida, Yuki Noguchi, Takayuki Kanai, Kazuhiro Shintani, Hiroshi Bito
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GDM-Net: Gas Distribution Mapping with a Mobile Robot Using Deep Reinforcement Learning and Gaussian Process Regression
Iliya Kulbaka, Ayan Dutta, Patrick Kreidl, Ladislau Bölöni, Swapnoneel Roy
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On Learning Scene-Aware Generative State Abstractions for Task-Level Mobile Manipulation Planning
Julian Förster, Jen Jen Chung, Lionel Ott, Roland Siegwart
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Car-Studio: Learning Car Radiance Fields from Single-View and Unlimited In-The-Wild Images
Tianyu Liu, Hao Zhao, Yang Yu, Guyue Zhou, Ming Liu
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Real-Time Dexterous Telemanipulation with an End-Effect-Oriented Learning-Based Approach
Haoyang Wang, HE BAI, Xiaoli Zhang, Yunsik Jung, Michael Bowman, Lingfeng Tao
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Synergistic Reinforcement and Imitation Learning for Vision-Driven Autonomous Flight of UAV Along River
Zihan Wang, Jianwen Li, Nina Mahmoudian
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Skill-Critic: Refining Learned Skills for Hierarchical Reinforcement Learning
Ce Hao, Catherine Weaver, CHEN TANG, Kenta Kawamoto, Masayoshi Tomizuka, Wei Zhan
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Robot Generating Data for Learning Generalizable Visual Robotic Manipulation
Yunfei Li, Ying Yuan, Jingzhi Cui, Haoran Huan, Wei Fu, Jiaxuan Gao, Zekai Xu, Yi Wu
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TraKDis: A Transformer-Based Knowledge Distillation Approach for Visual Reinforcement Learning with Application to Cloth Manipulation
Wei Chen, Nicolas Rojas
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Interactive Learning of Physical Object Properties through Robot Manipulation and Database of Object Measurements
Andrej Kru�liak, Jiri Hartvich, Shubhan Patni, Lukas Rustler, Jan Kristof Behrens, Fares Abu-Dakka, Krystian Mikolajczyk, Ville Kyrki, Matej Hoffmann
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Multi-Modal Representation Learning with Tactile Data
Hyung-gun Chi, Jean Mercat, Jose Barreiros, Karthik Ramani, Thomas Kollar
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The Power of Input: Benchmarking Zero-Shot Sim-To-Real Transfer of Reinforcement Learning Control Policies for Quadrotor Control
Alberto Dionigi, Gabriele Costante, Giuseppe Loianno
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FNPG-NH: A Reinforcement Learning Framework for Flexible Needle Path Generation with Nonholonomic Constraints
Shah, Mukund,Patel, Niravkumar
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Adaptive Robot Traversability Estimation Based on Self-Supervised Online Continual Learning in Unstructured Environments
Hyung-Suk Yoon, Ji-Hoon Hwang, Chan Kim, E-In Son, Se-Wook Yoo, Seung-Woo Seo
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Language-Guided Pattern Formation for Swarm Robotics with Multi-Agent Reinforcement Learning
Hsu-Shen Liu, So Kuroki, Tadashi Kozuno, Wei-Fang Sun, Chun-Yi Lee
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Real-Time Coordinated Motion Generation: A Hierarchical Deep Predictive Learning Model for Bimanual Tasks
Genki Shikada, Simon Armleder, Hiroshi Ito, Gordon Cheng, Tetsuya Ogata
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SCOML: Trajectory Planning Based on Self-Correcting Meta-Reinforcement Learning in Hybird Terrain for Mobile Robot
Andong Yang, Wei Li, Yu Hu
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Towards Accurate and Robust Dynamics and Reward Modeling for Model-Based Offline Inverse Reinforcement Learning
Gengyu Zhang, Yan Yan
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Integrating Online Learning and Connectivity Maintenance for Communication-Aware Multi-Robot Coordination
Yupeng Yang, Yiwei Lyu, Yanze Zhang, Ian Gao, Wenhao Luo
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RaceMOP: Mapless Online Path Planning for Multi-Agent Autonomous Racing Using Residual Policy Learning
Raphael Trumpp, Ehsan Javanmardi, Jin Nakazato, Manabu Tsukada, Marco Caccamo
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Integrating Model-Based Footstep Planning with Model-Free Reinforcement Learning for Dynamic Legged Locomotion
Ho Jae Lee, Seungwoo Hong, Sangbae Kim
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Learning Hierarchical Graph-Based Policy for Goal-Reaching in Unknown Environments
Yuxiang Cui, Shuhao Ye, Xuecheng Xu, Hao Sha, Cheng Wang, Longzhong Lin, Yifei Yang, Jiyu Yu, Zhe Liu, Rong Xiong, Yue Wang
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Learning Autonomous Driving from Aerial Imagery
Varun Murali, Guy Rosman, Sertac Karaman, Daniela Rus
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Evaluating a Movable Palm in Caging Inspired Grasping Using a Reinforcement Learning-Based Approach
Luke Jonathan Beddow, Helge Arne Wurdemann, Dimitrios Kanoulas
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Exploratory Motion Guided Tactile Learning for Shape-Consistent Robotic Insertion
Gang Yan, Jinsong HE, Satoshi Funabashi, Alexander Schmitz, Shigeki Sugano
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Enhancing VIO Robustness under Sudden Lighting Variation: A Learning-Based IMU Dead-Reckoning for UAV Localization
Daolong Yang, Liu Haoyuan, XueYing Jin, Jiawei Chen, Chengcai Wang, Xilun DING, Kun Xu
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EnduRL: Enhancing Safety, Stability, and Efficiency of Mixed Traffic under Real-World Perturbations Via Reinforcement Learning
Bibek Poudel, Weizi Li, Kevin Heaslip
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Torque Ripple Reduction in Quasi-Direct Drive Motors through Angle-Based Repetitive Learning Observer and Model Predictive Torque Controller
Hefei Zhang, Xiaohu Zhang, Jinyu Cheng, Jiangtao Hu, Chao Ji, Yu Wang, Yutong Jiang, Zhen Han, Wei Gao, Shiwu Zhang
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Learning to Simulate Tree-Branch Dynamics for Manipulation
Jayadeep Jacob, Tirthankar Bandyopadhyay, Jason Williams, Paulo Vinicius Koerich Borges, Fabio Ramos
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Contacts from Motion: Learning Discrete Features for Automatic Contact Detection and Estimation from Human Movements
Hibiki Miyake, Ko Ayusawa, Ryusuke Sagawa, Eiichi Yoshida
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Aligning Learning with Communication in Shared Autonomy
Joshua Hoegerman, Shahabedin Sagheb, Benjamin Christie, Dylan Losey
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Skin the Sheep Not Only Once: Reusing Various Depth Datasets to Drive the Learning of Optical Flow
Sheng Chi Huang, Wei-Chen Chiu
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Inverse Kinematics of Robotic Manipulators Using a New Learning-By-Example Method
Jacket Demby's, Ramy Farag, Guilherme DeSouza
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X-Neuron: Interpreting, Locating and Editing of Neurons in Reinforcement Learning Policy
Yuhong Ge, Xun Zhao, Jiangmiao Pang, Mingguo Zhao, Dahua Lin
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Collaboration Strategies for Two Heterogeneous Pursuers in A Pursuit-Evasion Game Using Deep Reinforcement Learning
Zhanping Zhong, Zhuoning Dong, Xiaoming Duan, Jianping He
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Online Adaptation of Learned Vehicle Dynamics Model with Meta-Learning Approach
Yuki Tsuchiya, Thomas Balch, Paul Drews, Guy Rosman
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PP-TIL: Personalized Planning for Autonomous Driving with Instance-Based Transfer Imitation Learning
Fangze Lin, Ying He, Fei Yu
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Skill Transfer and Discovery for Sim-To-Real Learning: A Representation-Based Viewpoint
Haitong Ma, Zhaolin Ren, Bo Dai, Na Li
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Uncertainty-Aware Deep Imitation Learning and Deployment for Autonomous Navigation through Crowded Intersections
Zeyu Zhu, Shuai Wang, Huijing Zhao
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Transformer-Based Multi-Agent Reinforcement Learning for Generalization of Heterogeneous Multi-Robot Cooperation
Yuxin Cai, Xiangkun He, Hongliang Guo, Wei-Yun Yau, Chen Lv
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Learning a Pre-Grasp Manipulation Policy to Effectively Retrieve a Target in Dense Clutter
Marios Kiatos, Leonidas Koutras, Iason Sarantopoulos, Zoe Doulgeri
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I Get the Hang of It! a Learning-Free Method to Predict Hanging Poses for Previously Unseen Objects
Wanze Li, LEXIN PAN, Boren Jiang, Yuwei Wu, Weixiao Liu, Gregory Chirikjian
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VANP: Learning Where to See for Navigation with Self-Supervised Vision-Action Pre-Training
Mohammad Nazeri, Junzhe Wang, amirreza payandeh, Xuesu Xiao
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