IROS 2024

1856 papers · 0 AI summaries · 2024

AI summary only

594 result(s) for “Reinforcement Learning” Page 7 of 12

	Title & Authors	Actions
	Inverse Kinematics of Robotic Manipulators Using a New Learning-By-Example Method Jacket Demby's, Ramy Farag, Guilherme DeSouza	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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	Skill Transfer and Discovery for Sim-To-Real Learning: A Representation-Based Viewpoint Haitong Ma, Zhaolin Ren, Bo Dai, Na Li	View PDF
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	Uncertainty-Aware Deep Imitation Learning and Deployment for Autonomous Navigation through Crowded Intersections Zeyu Zhu, Shuai Wang, Huijing Zhao	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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	VANP: Learning Where to See for Navigation with Self-Supervised Vision-Action Pre-Training Mohammad Nazeri, Junzhe Wang, amirreza payandeh, Xuesu Xiao	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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	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
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	Beyond Success: Quantifying Demonstration Quality in Learning from Demonstration Muhammad Bilal, Nir Lipovetzky, Denny Oetomo, Wafa Johal	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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	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
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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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	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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	Binary Amplitude-Only Hologram Design for Acoustic End-Effector Construction by Physics-Based Deep Learning Qing Liu, hu su, Jiaqi Li, Y.F. Li, zhiyuan ZHANG, Song LIU	View PDF
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	OPG-Policy: Occluded Push-Grasp Policy Learning with Amodal Segmentation Hao Ding, Yiming Zeng, Zhaoliang Wan, Hui Cheng	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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	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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	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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	Efficient Multimodal Semantic Segmentation Via Dual-Prompt Learning Shaohua Dong, Yunhe Feng, Qing Yang, Yan Huang, Dongfang Liu, Heng Fan	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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	Learning Variable Compliance Control from a Few Demonstrations for Bimanual Robot with Haptic Feedback Teleoperation System Tatsuya Kamijo, Cristian Camilo Beltran-Hernandez, Masashi Hamaya	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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	Temporal- and Viewpoint-Invariant Registration for Under-Canopy Footage using Deep-Learning-based Bird's-Eye View Prediction Jiawei Zhou, Ruben Mascaro, Cesar Cadena Lerma, Margarita Chli, Lucas Teixeira	View PDF
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	Enhancing Object Grasping Efficiency with Deep Learning and Post-Processing for Multi-Finger Robotic Hands Pouya Samandi, Kamal Gupta, mehran mehrandezh	View PDF
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	ActNeRF: Uncertainty-Aware Active Learning of NeRF-Based Object Models for Robot Manipulators Using Visual and Re-Orientation Actions Saptarshi Dasgupta, Akshat Gupta, Shreshth Tuli, Rohan Paul	View PDF
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	Learning Generalizable Tool-Use Skills through Trajectory Generation Carl Qi, Yilin Wu, Lifan Yu, Haoyue Liu, Bowen Jiang, Xingyu Lin, David Held	View PDF
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	MonoForce: Self-Supervised Learning of Physics-informed Model for Predicting Robot-Terrain Interaction Ruslan Agishev, Karel Zimmermann, Vladimir Kubelka, Martin Pecka, Tomas Svoboda	View PDF
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	Learning to Estimate the Pose of a Peer Robot in a Camera Image by Predicting the States of Its LEDs Nicholas Carlotti, Mirko Nava, Alessandro Giusti	View PDF
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	A Learning-Based Controller for Multi-Contact Grasps on Unknown Objects with a Dexterous Hand Dominik Winkelbauer, Rudolph Triebel, Berthold Bäuml	View PDF
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	Learning High-Level Semantic-Relational Concepts for SLAM Jose Andres Millan Romera, Hriday Bavle, Muhammad Shaheer, Martin R. Oswald, Holger Voos, Jose Luis Sanchez-Lopez	View PDF
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	Learning Incipient Slip with GelSight Sensors: Attention Classification with Video Vision Transformers Amit Parag, Edward Adelson, Ekrem Misimi	View PDF
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	Hierarchical Action Chunking Transformer: Learning Temporal Multimodality from Demonstrations with Fast Imitation Behavior J. hyeon Park, Wonhyuk Choi, Sunpyo Hong, Hoseong Seo, Joonmo Ahn, Changsu Ha, Heungwoo Han, Junghyun Kwon	View PDF
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	DMFuser: Distilled Multi-Task Learning for End-To-End Transformer-Based Sensor Fusion in Autonomous Driving Pedram Agand, Mohammad Mahdavian, Manolis Savva, Mo Chen	View PDF
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	Learning Occluded Branch Depth Maps in Forest Environments Using RGB-D Images Christian Geckeler, Emanuele Aucone, Yannick Schnider, Andri Simeon, Jan-Philipp von Bassewitz, Yunying Zhu, Stefano Mintchev	View PDF
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	Learning Concept-Based Causal Transition and Symbolic Reasoning for Visual Planning Yilue Qian, Peiyu Yu, Ying Nian Wu, Yao Su, Wei Wang, Lifeng Fan	View PDF
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	Learning-Based Adaptive Admittance Controller for Efficient and Safe pHRI in Contact-Rich Manufacturing Tasks Pouya Pourakbarian Niaz, Engin Erzin, Cagatay Basdogan	View PDF
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	Satellite-Model-Free Deep Learning Based Pose Estimation of Non-Cooperative Satellite and Tracking Using Navigation Filter Shubham Shukla, Raunak Srivastava, Rolif Lima, Titas Bera	View PDF
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	Learning from Spatio-Temporal Correlation for Semi-Supervised LiDAR Semantic Segmentation Seungho Lee, Hwijeong Lee, Hyunjung Shim	View PDF
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	Enabling Maintainablity of Robot Programs in Assembly by Extracting Compositions of Force and Position-Based Robot Skills from Learning-From-Demonstration Models Daniel Bargmann, Werner Kraus, Marco F. Huber	View PDF
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	LF2SLAM: Learning-Based Features for Visual SLAM Marco Legittimo, Francesco Crocetti, Mario Luca Fravolini, Giuseppe Mollica, Gabriele Costante	View PDF
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	DeepBHMR: Learning Bidirectional Hybrid Mixture Models for Generalized Rigid Point Set Registration Zhe Min, Zhengyan Zhang, Ang Zhang, Rui Song, Yibin Li, Max Q.-H. Meng	View PDF
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	Learning-To-Rank Approach for Identifying Everyday Objects Using a Physical-World Search Engine Kanta Kaneda, Shunya Nagashima, Ryosuke Korekata, Motonari Kambara, Komei Sugiura	View PDF
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	Learning-Based Hierarchical Control: Emulating the Central Nervous System for Bio-Inspired Legged Robot Locomotion GE SUN, Milad Shafiee, Peizhuo LI, Guillaume Bellegarda, Auke Ijspeert, Guillaume Adrien Sartoretti	View PDF
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