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984 result(s) for “Deep Learning Methods” Page 10 of 20
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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
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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
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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
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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
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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
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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
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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
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Beyond Success: Quantifying Demonstration Quality in Learning from Demonstration
Muhammad Bilal, Nir Lipovetzky, Denny Oetomo, Wafa Johal
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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
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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
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Learning a Tracking Controller for Rolling μbots
Logan Beaver, Sokolich Max, Suhail Alsalehi, Ron Weiss, Sambeeta Das, Calin Belta
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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
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Ground-Density Clustering for Approximate Agricultural Field Segmentation
Henry J. Nelson, Nikos Papanikolopoulos
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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
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Learning Bimanual Manipulation Policies for Bathing Bed-Bound People
Yijun Gu, Yiannis Demiris
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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
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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
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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
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Learning Social Cost Functions for Human-Aware Path Planning
Andrea Eirale, Matteo Leonetti, Marcello Chiaberge
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Working Backwards: Learning to Place by Picking
Oliver Limoyo, Abhisek Konar, Trevor Ablett, Jonathan Kelly, Francois Hogan, Gregory Dudek
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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
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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
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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
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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
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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
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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
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Learning Incipient Slip with GelSight Sensors: Attention Classification with Video Vision Transformers
Amit Parag, Edward Adelson, Ekrem Misimi
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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
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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
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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
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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
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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
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SOS-Match: Segmentation for Open-Set Robust Correspondence Search and Robot Localization in Unstructured Environments
Annika Thomas, Jouko Kinnari, Parker C. Lusk, Kota Kondo, Jonathan How
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Learning from Spatio-Temporal Correlation for Semi-Supervised LiDAR Semantic Segmentation
Seungho Lee, Hwijeong Lee, Hyunjung Shim
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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
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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
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Robotic Object Insertion with a Soft Wrist through Sim-To-Real Privileged Training
Yuni Fuchioka, Cristian Camilo Beltran-Hernandez, Nguyen Hai, Masashi Hamaya
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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
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Towards Dynamic and Small Objects Refinement for Unsupervised Domain Adaptative Nighttime Semantic Segmentation
Jingyi Pan, Sihang Li, Yucheng Chen, Jinjing Zhu, Lin Wang
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Identifying Optimal Launch Sites of High-Altitude Latex-Balloons Using Bayesian Optimisation for the Task of Station-Keeping
Jack Saunders, Sajad Saeedi, Adam Hartshorne, Binbin Xu, ÖzgÃ1⁄4r Şimşek, Alan Joseph Hunter, Wenbin Li
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Radiance Fields for Robotic Teleoperation
Maximum Wilder-Smith, Vaishakh Patil, Marco Hutter
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CoPa: General Robotic Manipulation through Spatial Constraints of Parts with Foundation Models
Haoxu Huang, Fanqi Lin, Yingdong Hu, Shengjie Wang, Yang Gao
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Swiss DINO: Efficient and Versatile Vision Framework for On-Device Personal Object Search
Kirill Paramonov, Jia-Xing Zhong, Umberto Michieli, Jijoong Moon, Mete Ozay
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Efficient Estimation of Frequency Response Functions of Industrial Robots Using the Local Rational Method
Stefanie Antonia Zimmermann, Stig Moberg
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Repairing Neural Networks for Safety in Robotic Systems Using Predictive Models
Keyvan Majd, Geoffrey Clark, Georgios Fainekos, Heni Ben Amor
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IndoorSim-To-OutdoorReal: Learning to Navigate Outdoors without Any Outdoor Experience
Joanne Truong, April Zitkovich, Sonia Chernova, Dhruv Batra, Tingnan Zhang, Jie Tan, Wenhao Yu
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Data Efficient Behavior Cloning for Fine Manipulation Via Continuity-Based Corrective Labels
Abhay Deshpande, Liyiming Ke, Quinn Pfeifer, Abhishek Gupta, Siddhartha Srinivasa
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PGA: Personalizing Grasping Agents with Single Human-Robot Interaction
Junghyun Kim, Gi-Cheon Kang, Jaein Kim, Seoyun Yang, Minjoon Jung, Byoung-Tak Zhang
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Text2Map: From Navigational Instructions to Graph-Based Indoor Map Representations Using LLMs
Ammar Karkour, Khaled Harras, EDUARDO FEO
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Model-Based Policy Optimization Using Symbolic World Model
Andrey Gorodetsky, Konstantin Mironov, Aleksandr Panov
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