IROS 2024

1856 papers · 0 AI summaries · 2024

AI summary only

1854 result(s) for “Deep Learning in Robotics and Automation” Page 12 of 38

	Title & Authors	Actions
	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
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	Synergistic Reinforcement and Imitation Learning for Vision-Driven Autonomous Flight of UAV Along River Zihan Wang, Jianwen Li, Nina Mahmoudian	View PDF
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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	View PDF
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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	View PDF
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	TraKDis: A Transformer-Based Knowledge Distillation Approach for Visual Reinforcement Learning with Application to Cloth Manipulation Wei Chen, Nicolas Rojas	View PDF
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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	View PDF
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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	View PDF
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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	View PDF
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	Towards Accurate and Robust Dynamics and Reward Modeling for Model-Based Offline Inverse Reinforcement Learning Gengyu Zhang, Yan Yan	View PDF
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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	View PDF
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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	View PDF
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	Learning Autonomous Driving from Aerial Imagery Varun Murali, Guy Rosman, Sertac Karaman, Daniela Rus	View PDF
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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	View PDF
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	Exploratory Motion Guided Tactile Learning for Shape-Consistent Robotic Insertion Gang Yan, Jinsong HE, Satoshi Funabashi, Alexander Schmitz, Shigeki Sugano	View PDF
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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	View PDF
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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	View PDF
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	Learning to Simulate Tree-Branch Dynamics for Manipulation Jayadeep Jacob, Tirthankar Bandyopadhyay, Jason Williams, Paulo Vinicius Koerich Borges, Fabio Ramos	View PDF
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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	View PDF
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	Aligning Learning with Communication in Shared Autonomy Joshua Hoegerman, Shahabedin Sagheb, Benjamin Christie, Dylan Losey	View PDF
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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	View PDF
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	Online Adaptation of Learned Vehicle Dynamics Model with Meta-Learning Approach Yuki Tsuchiya, Thomas Balch, Paul Drews, Guy Rosman	View PDF
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	PP-TIL: Personalized Planning for Autonomous Driving with Instance-Based Transfer Imitation Learning Fangze Lin, Ying He, Fei Yu	View PDF
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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	View PDF
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	Active Learning-augmented Intention-aware Obstacle Avoidance of Autonomous Surface Vehicles in High-traffic Waters Mingi Jeong, Arihant Chadda, Alberto Quattrini Li	View PDF
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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	View PDF
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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	View PDF
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	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
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	Real-Time Spatiotemporal Assistance for Micromanipulation Using Imitation Learning Ryoya Mori, Tadayoshi Aoyama, Taisuke Kobayashi, Kazuya Sakamoto, Masaru Takeuchi, Yasuhisa Hasegawa	View PDF
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	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
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	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
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	Learning Temporally Composable Task Segmentations with Language Divyanshu Raj, Omkar Deepak Patil, Weiwei Gu, Chitta Baral, Nakul Gopalan	View PDF
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	PRIMP: PRobabilistically-Informed Motion Primitives for Efficient Affordance Learning from Demonstration Sipu Ruan, Weixiao Liu, Xiaoli Wang, Xin Meng, Gregory Chirikjian	View PDF
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	Learning a Tracking Controller for Rolling μbots Logan Beaver, Sokolich Max, Suhail Alsalehi, Ron Weiss, Sambeeta Das, Calin Belta	View PDF
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	Neural Semantic Map-Learning for Autonomous Vehicles Markus Herb, Nassir Navab, Federico Tombari	View PDF
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	Towards a Surgeon-In-The-Loop Ophthalmic Robotic Apprentice Using Reinforcement and Imitation Learning Amr Gomaa, Bilal Mahdy, Niko Kleer, Antonio Krüger	View PDF
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	Belief-Aided Navigation Using Bayesian Reinforcement Learning for Avoiding Humans in Blind Spots Jinyeob Kim, KWAK DAEWON, Hyunwoo RIM, Donghan Kim	View PDF
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	Learning Vehicle Dynamics from Cropped Image Patches for Robot Navigation in Unpaved Outdoor Terrains Jeong Hyun Lee, Jinhyeok Choi, Simo Ryu, Hyunsik Oh, Suyoung Choi, Jemin Hwangbo	View PDF
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	Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers Aleksandar Krnjaic, Raul Dacian Steleac, Jonathan David Thomas, Georgios Papoudakis, Lukas Schäfer, Andrew To, Kuan-Ho Lao, Murat Cubuktepe, Matthew Haley, Peter Börsting, Stefano V. Albrecht	View PDF
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	Learning Bimanual Manipulation Policies for Bathing Bed-Bound People Yijun Gu, Yiannis Demiris	View PDF
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	FedRC: A Rapid-Converged Hierarchical Federated Learning Framework in Street Scene Semantic Understanding Wei-Bin Kou, Qingfeng Lin, Ming Tang, Shuai Wang, Guangxu Zhu, Yik-Chung Wu	View PDF
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	SmartPathfinder: Pushing the Limits of Heuristic Solutions for Vehicle Routing Problem with Drones Using Reinforcement Learning Navid Mohammad Imran, Myounggyu Won	View PDF
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	Learning to Place Unseen Objects Stably Using a Large-Scale Simulation Sangjun Noh, Raeyoung Kang, Taewon Kim, Seunghyeok Back, Seongho Bak, Kyoobin Lee	View PDF
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	Environment Transformer and Policy Optimization for Model-Based Offline Reinforcement Learning Pengqin Wang, Meixin Zhu, Shaojie Shen	View PDF
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	Simulation-Assisted Learning for Efficient Bin-Packing of Deformable Packages in a Bimanual Robotic Cell Omey Mohan Manyar, Hantao Ye, Meghana Sagare, Siddharth Mayya, Fan Wang, Satyandra K. Gupta	View PDF
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	Distilling Reinforcement Learning Policies for Interpretable Robot Locomotion: Gradient Boosting Machines and Symbolic Regression Fernando Acero, Zhibin (Alex) Li	View PDF
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	D-MARL: A Dynamic Communication-Based Action Space Enhancement for Multi Agent Reinforcement Learning Exploration of Large Scale Unknown Environments Gabriele Calzolari, Vidya Sumathy, Christoforos Kanellakis, George Nikolakopoulos	View PDF
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	Learning Social Cost Functions for Human-Aware Path Planning Andrea Eirale, Matteo Leonetti, Marcello Chiaberge	View PDF
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	Working Backwards: Learning to Place by Picking Oliver Limoyo, Abhisek Konar, Trevor Ablett, Jonathan Kelly, Francois Hogan, Gregory Dudek	View PDF
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	Adaptive Trajectory Database Learning for Nonlinear Control with Hybrid Gradient Optimization Kuan-Yu Tseng, Mengchao Zhang, Kris Hauser, Geir E. Dullerud	View PDF
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	Rocket Landing Control with Random Annealing Jump Start Reinforcement Learning Yuxuan Jiang, Yujie Yang, Zhiqian Lan, Guojian Zhan, Shengbo Eben Li, Qi Sun, Jian Ma, Tianwen Yu, Changwu Zhang	View PDF
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