IROS 2024

1856 papers · 0 AI summaries · 2024

AI summary only

685 result(s) for “Representation Learning” Page 8 of 14

	Title & Authors	Actions
	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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	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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	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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	A Two-Stage Reinforcement Learning Approach for Robot Navigation in Long-Range Indoor Dense Crowd Environments Xinghui Jing, Xin Xiong, Fuhao Li, Tao Zhang, Long Zeng	View PDF
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	Socially Integrated Navigation: A Social Acting Robot with Deep Reinforcement Learning Daniel Flögel, Lars Fischer, Thomas Rudolf, Tobias Schürmann, Sören Hohmann	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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	Adaptive Stochastic Nonlinear Model Predictive Control with Look-Ahead Deep Reinforcement Learning for Autonomous Vehicle Motion Control Baha Zarrouki, Chenyang Wang, Johannes Betz	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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	Learning Bimanual Manipulation Policies for Bathing Bed-Bound People Yijun Gu, Yiannis Demiris	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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	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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	Collision-Free Robot Navigation in Crowded Environments Using Learning Based Convex Model Predictive Control ZhuangLei Wen, Mingze Dong, xiai chen	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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	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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	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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	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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	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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	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 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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	Multi-Agent Deep Reinforcement Learning for Persistent Monitoring with Sensing, Communication, and Localization Constraints Manav Mishra, Prithvi Poddar, RAJAT AGRAWAL, Jingxi Chen, Pratap Tokekar, Sujit PB	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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	Reinforcement Learning Control for Autonomous Hydraulic Material Handling Machines with Underactuated Tools Filippo Alberto Spinelli, Pascal Arturo Egli, Julian Nubert, Fang Nan, Thilo Bleumer, Patrick Goegler, Stephan Brockes, Ferdinand Hofmann, Marco Hutter	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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