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1847 result(s) for “Learning Categories and Concepts” Page 6 of 37
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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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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
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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 Temporally Composable Task Segmentations with Language
Divyanshu Raj, Omkar Deepak Patil, Weiwei Gu, Chitta Baral, Nakul Gopalan
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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
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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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Neural Semantic Map-Learning for Autonomous Vehicles
Markus Herb, Nassir Navab, Federico Tombari
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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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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
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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
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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
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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
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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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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
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OPG-Policy: Occluded Push-Grasp Policy Learning with Amodal Segmentation
Hao Ding, Yiming Zeng, Zhaoliang Wan, Hui Cheng
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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
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Learning Bimanual Manipulation Policies for Bathing Bed-Bound People
Yijun Gu, Yiannis Demiris
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Collision-Free Robot Navigation in Crowded Environments Using Learning Based Convex Model Predictive Control
ZhuangLei Wen, Mingze Dong, xiai chen
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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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SmartPathfinder: Pushing the Limits of Heuristic Solutions for Vehicle Routing Problem with Drones Using Reinforcement Learning
Navid Mohammad Imran, Myounggyu Won
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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
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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
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Environment Transformer and Policy Optimization for Model-Based Offline Reinforcement Learning
Pengqin Wang, Meixin Zhu, Shaojie Shen
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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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Efficient Multimodal Semantic Segmentation Via Dual-Prompt Learning
Shaohua Dong, Yunhe Feng, Qing Yang, Yan Huang, Dongfang Liu, Heng Fan
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Distilling Reinforcement Learning Policies for Interpretable Robot Locomotion: Gradient Boosting Machines and Symbolic Regression
Fernando Acero, Zhibin (Alex) Li
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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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Learning Variable Compliance Control from a Few Demonstrations for Bimanual Robot with Haptic Feedback Teleoperation System
Tatsuya Kamijo, Cristian Camilo Beltran-Hernandez, Masashi Hamaya
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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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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
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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
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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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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
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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
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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 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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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
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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-Based Adaptive Admittance Controller for Efficient and Safe pHRI in Contact-Rich Manufacturing Tasks
Pouya Pourakbarian Niaz, Engin Erzin, Cagatay Basdogan
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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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