IROS 2024

1856 papers · 0 AI summaries · 2024

AI summary only

589 result(s) for “Imitation Learning” Page 5 of 12

	Title & Authors	Actions
	Fine Manipulation Using a Tactile Skin: Learning in Simulation and Sim-To-Real Transfer Berthold Bäuml, Ulf Kasolowsky	View PDF
Loading…
	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	View PDF
Loading…
	On Learning Scene-Aware Generative State Abstractions for Task-Level Mobile Manipulation Planning Julian Förster, Jen Jen Chung, Lionel Ott, Roland Siegwart	View PDF
Loading…
	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	View PDF
Loading…
	Real-Time Dexterous Telemanipulation with an End-Effect-Oriented Learning-Based Approach Haoyang Wang, HE BAI, Xiaoli Zhang, Yunsik Jung, Michael Bowman, Lingfeng Tao	View PDF
Loading…
	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	View PDF
Loading…
	Skill-Critic: Refining Learned Skills for Hierarchical Reinforcement Learning Ce Hao, Catherine Weaver, CHEN TANG, Kenta Kawamoto, Masayoshi Tomizuka, Wei Zhan	View PDF
Loading…
	TraKDis: A Transformer-Based Knowledge Distillation Approach for Visual Reinforcement Learning with Application to Cloth Manipulation Wei Chen, Nicolas Rojas	View PDF
Loading…
	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	View PDF
Loading…
	Multi-Modal Representation Learning with Tactile Data Hyung-gun Chi, Jean Mercat, Jose Barreiros, Karthik Ramani, Thomas Kollar	View PDF
Loading…
	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	View PDF
Loading…
	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	View PDF
Loading…
	FNPG-NH: A Reinforcement Learning Framework for Flexible Needle Path Generation with Nonholonomic Constraints Shah, Mukund,Patel, Niravkumar	View PDF
Loading…
	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	View PDF
Loading…
	Real-Time Coordinated Motion Generation: A Hierarchical Deep Predictive Learning Model for Bimanual Tasks Genki Shikada, Simon Armleder, Hiroshi Ito, Gordon Cheng, Tetsuya Ogata	View PDF
Loading…
	SCOML: Trajectory Planning Based on Self-Correcting Meta-Reinforcement Learning in Hybird Terrain for Mobile Robot Andong Yang, Wei Li, Yu Hu	View PDF
Loading…
	Towards Accurate and Robust Dynamics and Reward Modeling for Model-Based Offline Inverse Reinforcement Learning Gengyu Zhang, Yan Yan	View PDF
Loading…
	Integrating Online Learning and Connectivity Maintenance for Communication-Aware Multi-Robot Coordination Yupeng Yang, Yiwei Lyu, Yanze Zhang, Ian Gao, Wenhao Luo	View PDF
Loading…
	RaceMOP: Mapless Online Path Planning for Multi-Agent Autonomous Racing Using Residual Policy Learning Raphael Trumpp, Ehsan Javanmardi, Jin Nakazato, Manabu Tsukada, Marco Caccamo	View PDF
Loading…
	Integrating Model-Based Footstep Planning with Model-Free Reinforcement Learning for Dynamic Legged Locomotion Ho Jae Lee, Seungwoo Hong, Sangbae Kim	View PDF
Loading…
	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	View PDF
Loading…
	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	View PDF
Loading…
	Evaluating a Movable Palm in Caging Inspired Grasping Using a Reinforcement Learning-Based Approach Luke Jonathan Beddow, Helge Arne Wurdemann, Dimitrios Kanoulas	View PDF
Loading…
	Exploratory Motion Guided Tactile Learning for Shape-Consistent Robotic Insertion Gang Yan, Jinsong HE, Satoshi Funabashi, Alexander Schmitz, Shigeki Sugano	View PDF
Loading…
	EnduRL: Enhancing Safety, Stability, and Efficiency of Mixed Traffic under Real-World Perturbations Via Reinforcement Learning Bibek Poudel, Weizi Li, Kevin Heaslip	View PDF
Loading…
	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	View PDF
Loading…
	Learning to Simulate Tree-Branch Dynamics for Manipulation Jayadeep Jacob, Tirthankar Bandyopadhyay, Jason Williams, Paulo Vinicius Koerich Borges, Fabio Ramos	View PDF
Loading…
	Contacts from Motion: Learning Discrete Features for Automatic Contact Detection and Estimation from Human Movements Hibiki Miyake, Ko Ayusawa, Ryusuke Sagawa, Eiichi Yoshida	View PDF
Loading…
	Aligning Learning with Communication in Shared Autonomy Joshua Hoegerman, Shahabedin Sagheb, Benjamin Christie, Dylan Losey	View PDF
Loading…
	Skin the Sheep Not Only Once: Reusing Various Depth Datasets to Drive the Learning of Optical Flow Sheng Chi Huang, Wei-Chen Chiu	View PDF
Loading…
	Inverse Kinematics of Robotic Manipulators Using a New Learning-By-Example Method Jacket Demby's, Ramy Farag, Guilherme DeSouza	View PDF
Loading…
	Collaboration Strategies for Two Heterogeneous Pursuers in A Pursuit-Evasion Game Using Deep Reinforcement Learning Zhanping Zhong, Zhuoning Dong, Xiaoming Duan, Jianping He	View PDF
Loading…
	X-Neuron: Interpreting, Locating and Editing of Neurons in Reinforcement Learning Policy Yuhong Ge, Xun Zhao, Jiangmiao Pang, Mingguo Zhao, Dahua Lin	View PDF
Loading…
	Online Adaptation of Learned Vehicle Dynamics Model with Meta-Learning Approach Yuki Tsuchiya, Thomas Balch, Paul Drews, Guy Rosman	View PDF
Loading…
	Skill Transfer and Discovery for Sim-To-Real Learning: A Representation-Based Viewpoint Haitong Ma, Zhaolin Ren, Bo Dai, Na Li	View PDF
Loading…
	Transformer-Based Multi-Agent Reinforcement Learning for Generalization of Heterogeneous Multi-Robot Cooperation Yuxin Cai, Xiangkun He, Hongliang Guo, Wei-Yun Yau, Chen Lv	View PDF
Loading…
	Active Learning-augmented Intention-aware Obstacle Avoidance of Autonomous Surface Vehicles in High-traffic Waters Mingi Jeong, Arihant Chadda, Alberto Quattrini Li	View PDF
Loading…
	Learning a Pre-Grasp Manipulation Policy to Effectively Retrieve a Target in Dense Clutter Marios Kiatos, Leonidas Koutras, Iason Sarantopoulos, Zoe Doulgeri	View PDF
Loading…
	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	View PDF
Loading…
	VANP: Learning Where to See for Navigation with Self-Supervised Vision-Action Pre-Training Mohammad Nazeri, Junzhe Wang, amirreza payandeh, Xuesu Xiao	View PDF
Loading…
	Learning the Inverse Kinematics of Magnetic Continuum Robot for Teleoperated Navigation Pingyu Xiang, Ke Qiu, Danying Sun, jingyu zhang, Qin Fang, Xiangyu Mi, Shudong Wang, Mengxiao Chen, Yue Wang, Rong Xiong, Haojian Lu	View PDF
Loading…
	Self-Supervised Learning of Visual Robot Localization Using LED State Prediction As a Pretext Task Mirko Nava, Nicholas Carlotti, Luca Crupi, Daniele Palossi, Alessandro Giusti	View PDF
Loading…
	Beyond Success: Quantifying Demonstration Quality in Learning from Demonstration Muhammad Bilal, Nir Lipovetzky, Denny Oetomo, Wafa Johal	View PDF
Loading…
	CenterGrasp: Object-Aware Implicit Representation Learning for Simultaneous Shape Reconstruction and 6-DoF Grasp Estimation Eugenio Chisari, Nick Heppert, Tim Welschehold, Wolfram Burgard, Abhinav Valada	View PDF
Loading…
	Deep Learning-Based Delay Compensation Framework for Teleoperated Wheeled Rovers on Soft Terrains Ahmad Abubakar, Yahya Zweiri, Mubarak Yakubu, Ruqqayya Alhammadi, Mohammed Mohiuddin, Abdel Gafoor Haddad, Jorge Dias, Lakmal Seneviratne	View PDF
Loading…
	A Non-Invasive Device for Skin Cancer Diagnosis: First Clinical Evidence with Spectroscopic Data Enhanced by Machine Learning Algorithms Vanessa Mainardi, Laura Carletti, Dimitrios Tsiakmakis, Marco Dal Canto, Tommaso Mellilo, Stefano Noferi, Giovanni Bagnoni, Pietro Rubegni, Gastone Ciuti	View PDF
Loading…
	Learning Temporally Composable Task Segmentations with Language Divyanshu Raj, Omkar Deepak Patil, Weiwei Gu, Chitta Baral, Nakul Gopalan	View PDF
Loading…
	PRIMP: PRobabilistically-Informed Motion Primitives for Efficient Affordance Learning from Demonstration Sipu Ruan, Weixiao Liu, Xiaoli Wang, Xin Meng, Gregory Chirikjian	View PDF
Loading…
	Learning a Tracking Controller for Rolling μbots Logan Beaver, Sokolich Max, Suhail Alsalehi, Ron Weiss, Sambeeta Das, Calin Belta	View PDF
Loading…
	Neural Semantic Map-Learning for Autonomous Vehicles Markus Herb, Nassir Navab, Federico Tombari	View PDF
Loading…