IROS 2024

1856 papers · 0 AI summaries · 2024

AI summary only

1849 result(s) for “Integrated Planning and Learning” Page 12 of 37

	Title & Authors	Actions
	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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	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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	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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	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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	OPG-Policy: Occluded Push-Grasp Policy Learning with Amodal Segmentation Hao Ding, Yiming Zeng, Zhaoliang Wan, Hui Cheng	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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	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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	BronchoCopilot: Towards Autonomous Robotic Bronchoscopy Via Multimodal Reinforcement Learning Jianbo Zhao, Hao Chen, Qingyao Tian, Jian Chen, Bingyu Yang, Zihui Zhang, Hongbin Liu	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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	Enabling Grasp Synthesis Approaches to Task-Oriented Grasping Considering the End-State Comfort and Confidence Effects Emilio Maranci, Salvatore D'Avella, Paolo Tripicchio, Carlo Alberto Avizzano	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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	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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	ManiFoundation Model for General-Purpose Robotic Manipulation of Contact Synthesis with Arbitrary Objects and Robots Zhixuan Xu, Chongkai Gao, Zixuan Liu, Gang Yang, Chenrui Tie, Haozhuo Zheng, Haoyu Zhou, Peng Weikun, Debang Wang, Tianrun Hu, Tianyi Chen, Zhouliang Yu, Lin Shao	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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	Optimal and Bounded Suboptimal Any-Angle Multi-Agent Pathfinding Konstantin Yakovlev, Anton Andreychuk, Roni Stern	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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	Forward Prediction of Target Localization Failure through Pose Estimation Artifact Modelling Morgan Windsor, Alejandro Fontan, Peter Pivonka, Michael J Milford	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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	PROSPECT: Precision Robot Spectroscopy Exploration and Characterization Tool Nathaniel Hanson, Gary Lvov, Vedant Rautela, Sam Hibbard, Ethan Holand, Charles A DiMarzio, Taskin Padir	View PDF
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	Flying Robotics Art: ROS-Based Drone Draws the Record-Breaking Mural Andrei Korigodskii, Oleg Kalachev, Artem Vasiunik, Matvei Urvantsev, Georgii Bondar	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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	Inverse Kinematics for Neuro-Robotic Grasping with Humanoid Embodied Agents Jan-Gerrit Habekost, Connor Gäde, Philipp Allgeuer, Stefan Wermter	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-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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	Leveraging GNSS and Onboard Visual Data from Consumer Vehicles for Robust Road Network Estimation István Balázs Opra, Betty Le Dem, Jeffrey Walls, Dimitar Lukarski, Cyrill Stachniss	View PDF
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	Robust Online Epistemic Replanning of Multi-Robot Missions Lauren Bramblett, Branko Miloradovic, Patrick Sherman, Alessandro Vittorio Papadopoulos, Nicola Bezzo	View PDF
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	Toward Precise Robotic Weed Flaming Using a Mobile Manipulator with a Blowtorch Di Wang, Chengsong Hu, Shuangyu Xie, Joe Johnson, Hojun Ji, Yingtao Jiang, Muthukumar Bagavathiannan, Dezhen Song	View PDF
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