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525 result(s) for “Transfer Learning” Page 6 of 11
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TransDSSL: Transformer Based Depth Estimation Via Self-Supervised Learning
DAECHAN HAN, JEONGMIN SHIN, Namil Kim, Soonmin Hwang, Yukyung Choi
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Event-Triggered Optimal Formation Tracking Control Using Reinforcement Learning for Large-Scale UAV Systems
Ziwei Yan, Liang Han, Xiaoduo Li, Jinjie Li, Zhang Ren
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Gyro-Net: IMU Gyroscopes Random Errors Compensation Method Based on Deep Learning
Yunqi Gao, Dianxi Shi, Ruihao Li, Zhe Liu, Wen SUN
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RGB-D Grasp Detection Via Depth Guided Learning with Cross-Modal Attention
Ran Qin, Haoxiang Ma, Boyang Gao, Di Huang
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Online Learning and Suppression of Vibration in Collaborative Robots with Power Tools
Gokhan Solak, Arash Ajoudani
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Active Reward Learning from Online Preferences
Vivek Myers, Erdem Bıyık, Dorsa Sadigh
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Real-Time Reinforcement Learning for Vision-Based Robotics Utilizing Local and Remote Computers
Yan Wang, Gautham Vasan, Rupam Mahmood
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Learning Pre-Grasp Manipulation of Flat Objects in Cluttered Environments Using Sliding Primitives
Jiaxi Wu, haoran Wu, Shanlin Zhong, Qu Qin Sun, Yinlin Li
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AirTrack: Onboard Deep Learning Framework for Long-Range Aircraft Detection and Tracking
Sourish Ghosh, Jay Patrikar, Brady Moon, Milad Moghassem Hamidi, Sebastian Scherer
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Self-Supervised Feature Learning for Long-Term Metric Visual Localization
Yuxuan Chen, Timothy Barfoot
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Deep Reinforcement Learning Based Tracking Control of an Autonomous Surface Vessel in Natural Waters
Wei Wang, Xiaojing Cao, Alejandro Gonzalez-Garcia, Lianhao Yin, Niklas Hagemann, Yuanyuan Qiao, Carlo Ratti, Daniela Rus
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Cross-Modality Time-Variant Relation Learning for Generating Dynamic Scene Graphs
Jingyi Wang, JinFa Huang, Can Zhang, Zhidong Deng
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Learning an Efficient Terrain Representation for Haptic Localization of a Legged Robot
Damian Sójka, Michal Ryszard Nowicki, Piotr Skrzypczynski
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Sim2Real Learning of Obstacle Avoidance for Robotic Manipulators in Uncertain Environments
Tan Zhang, Kefang Zhang, Jiatao Lin, Wing-Yue Geoffrey Louie, Hui Huang
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Self-Adaptive Teaching-Learning-Based Optimizer with Improved RBF and Sparse Autoencoder for Complex Optimization Problems
Jing Bi, Ziqi Wang, Haitao Yuan, Junfei Qiao, Jia Zhang, MengChu Zhou
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FloorplanNet: Learning Topometric Floorplan Matching for Robot Localization
Delin Feng, Zhenpeng He, Jiawei Hou, Sören Schwertfeger, Liangjun Zhang
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Reinforcement Learning Based Pushing and Grasping Objects from Ungraspable Poses
Hao Zhang, Hongzhuo Liang, Lin Cong, Jianzhi Lyu, Long Zeng, Pingfa Feng, Jianwei Zhang
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Speeding up Assembly Sequence Planning through Learning Removability Probabilities
Alexander Cebulla, Tamim Asfour, Torsten Kroeger
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Structured Motion Generation with Predictive Learning: Proposing Subgoal for Long-Horizon Manipulation
Namiko Saito, Joao Moura, Tetsuya Ogata, Marina Y. Aoyama, Shingo Murata, Shigeki Sugano, Sethu Vijayakumar
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Flipbot: Learning Continuous Paper Flipping Via Coarse-To-Fine Exteroceptive-Proprioceptive Exploration
Chao Zhao, Chunli Jiang, Junhao Cai, Hongyu Yu, Michael Yu Wang, Qifeng Chen
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Real-Time Acoustic Holography with Iterative Unsupervised Learning for Acoustic Robotic Manipulation
Chengxi Zhong, Zhenhuan Sun, Teng LI, hu su, Song LIU
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A Contextual Bandit Approach for Learning to Plan in Environments with Probabilistic Goal Configurations
Sohan Rudra, Saksham Goel, Anirban Santara, Claudio Gentile, Laurent Perron, Fei Xia, Vikas Sindhwani, Carolina Parada, Gaurav Aggarwal
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Direct and Inverse Modeling of Soft Robots by Learning a Condensed FEM Model
Etienne Ménager, Tanguy Navez, Olivier Goury, Christian Duriez
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Learning to View: Decision Transformers for Active Object Detection
Wenhao Ding, Majcherczyk Nathalie, Mohit Deshpande, Xuewei Qi, Ding Zhao, Rajasimman Madhivanan, Arnab Sen
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Stackelberg Games for Learning Emergent Behaviors During Competitive Autocurricula
Boling Yang, Liyuan Zheng, Lillian Ratliff, Byron Boots, Joshua R. Smith
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Design of Fully Controllable and Continuous Programmable Surface Based on Machine Learning
Wang, Jue,Suo, Jiaqi,Chortos, Alex
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A Unified BEV Model for Joint Learning of 3D Local Features and Overlap Estimation
Lin Li, Wendong Ding, YongKun Wen, Yufei Liang, Yong Liu, Guowei Wan
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LEARNEST: LEARNing Enhanced Model-based State ESTimation for Robots using Knowledge-based Neural Ordinary Differential Equations
Kong Yao Chee, M. Ani Hsieh
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Contact Surface and Pose Recognition: Utilizing Multipole Magnetic Tactile Sensor with Meta Learning Model
Ziwei Xia, Bin Fang, Fuchun Sun, Huaping Liu, Wei Feng Xu, Ling Fu, yiyong yang
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Design Optimization and Data-driven Shallow Learning for Dynamic Modeling of a Smart Segmented Electroadhesive Clutch
Navid Feizi, Zahra Bahrami, S. Farokh Atashzar, Mehrdad R. Kermani, Rajnikant V. Patel
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Dynamic Interactive Relation Capturing Via Scene Graph Learning for Robotic Surgical Report Generation
Hongqiu Wang, Yueming Jin, Lei Zhu
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PedFormer: Pedestrian Behavior Prediction Via Cross-Modal Attention Modulation and Gated Multitask Learning
Amir Rasouli, Iuliia Kotseruba
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Parallel Reinforcement Learning Simulation for Visual Quadrotor Navigation
Jack Saunders, Sajad Saeedi, Wenbin Li
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Learning Deposition Policies for Fused Multi-Material 3D Printing
Kang Liao, Thibault Tricard, Michal Piovarci, Hans-Peter Seidel, Vahid Babaei
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Learning Height for Top-Down Grasps with the DIGIT Sensor
Thais Bernardi, Yoann Fleytoux, Jean-Baptiste Mouret, Serena Ivaldi
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Deep Reinforcement Learning Based Personalized Locomotion Planning for Lower-Limb Exoskeletons
Javad K. Mehr, Edward Guo, Mojtaba Akbari, Vivian K. Mushahwar, Mahdi Tavakoli
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Deep Learning Reactive Robotic Grasping with a Versatile Vacuum Gripper
Zhang, Hui,Peeters, Jef,Demeester, Eric,Kellens, Karel
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Learning to Explore Informative Trajectories and Samples for Embodied Perception
Ya Jing, Tao Kong
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Safe Self-Supervised Learning in Real of Visuo-Tactile Feedback Policies for Industrial Insertion
Letian Fu, Huang Huang, Lars Berscheid, Hui Li, Ken Goldberg, Sachin Chitta
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ViewBirdiformer: Learning to Recover Ground-Plane Crowd Trajectories and Ego-Motion from a Single Ego-Centric View
Mai Nishimura, Shohei Nobuhara, Ko Nishino
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AutoBag: Learning to Open Plastic Bags and Insert Objects
Lawrence Yunliang Chen, Baiyu Shi, Daniel Seita, Richard Cheng, Thomas Kollar, David Held, Ken Goldberg
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Hybrid Learning of Time-Series Inverse Dynamics Models for Locally Isotropic Robot Motion
Tolga-Can Çallar, Sven Böttger
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Learning-Based Fabric Folding and Box Wrapping
Xiaoman Wang, Jie Zhao, Xin Jiang, Yunhui Liu
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Multi-Target Pursuit by a Decentralized Heterogeneous UAV Swarm Using Deep Multi-Agent Reinforcement Learning
Maryam Kouzehgar, Youngbin Song, Malika Meghjani, Roland Bouffanais
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DeepSeeColor: Realtime Adaptive Color Correction for Autonomous Underwater Vehicles Via Deep Learning Methods
Stewart Jamieson, Jonathan How, Yogesh Girdhar
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Bayesian Deep Learning for Affordance Segmentation in Images
LORENZO MUR LABADIA, Ruben Martinez-Cantin, Josechu Guerrero
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Learning-Based Dimensionality Reduction for Computing Compact and Effective Local Feature Descriptors
Hao Dong, Xieyuanli Chen, Mihai Dusmanu, Viktor Larsson, Marc Pollefeys, Cyrill Stachniss
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Safe Real-World Autonomous Driving by Learning to Predict and Plan with a Mixture of Experts
Stefano Pini, Christian Perone, Aayush Ahuja, Ana Sofia Rufino Ferreira, Moritz Niendorf, Sergey Zagoruyko
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Credible Online Dynamics Learning for Hybrid UAVs
David Rohr, Nicholas Lawrance, Olov Andersson, Roland Siegwart
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Learning Tethered Perching for Aerial Robots
Fabian Hauf, Basaran Bahadir Kocer, Hai-Nguyen (Hann) Nguyen, Oscar Kwong Fai Pang, Ronald Clark, Edward Johns, Mirko Kovac
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