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594 result(s) for “Reinforcement Learning” Page 7 of 12
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Inverse Kinematics of Robotic Manipulators Using a New Learning-By-Example Method
Jacket Demby's, Ramy Farag, Guilherme DeSouza
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Online Adaptation of Learned Vehicle Dynamics Model with Meta-Learning Approach
Yuki Tsuchiya, Thomas Balch, Paul Drews, Guy Rosman
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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
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Uncertainty-Aware Deep Imitation Learning and Deployment for Autonomous Navigation through Crowded Intersections
Zeyu Zhu, Shuai Wang, Huijing Zhao
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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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VANP: Learning Where to See for Navigation with Self-Supervised Vision-Action Pre-Training
Mohammad Nazeri, Junzhe Wang, amirreza payandeh, Xuesu Xiao
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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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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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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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OPG-Policy: Occluded Push-Grasp Policy Learning with Amodal Segmentation
Hao Ding, Yiming Zeng, Zhaoliang Wan, Hui Cheng
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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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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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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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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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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 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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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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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
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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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LF2SLAM: Learning-Based Features for Visual SLAM
Marco Legittimo, Francesco Crocetti, Mario Luca Fravolini, Giuseppe Mollica, Gabriele Costante
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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
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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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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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