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588 result(s) for “Continual Learning” Page 5 of 12
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Enhancing VIO Robustness under Sudden Lighting Variation: A Learning-Based IMU Dead-Reckoning for UAV Localization
Daolong Yang, Liu Haoyuan, XueYing Jin, Jiawei Chen, Chengcai Wang, Xilun DING, Kun Xu
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Evaluating a Movable Palm in Caging Inspired Grasping Using a Reinforcement Learning-Based Approach
Luke Jonathan Beddow, Helge Arne Wurdemann, Dimitrios Kanoulas
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Exploratory Motion Guided Tactile Learning for Shape-Consistent Robotic Insertion
Gang Yan, Jinsong HE, Satoshi Funabashi, Alexander Schmitz, Shigeki Sugano
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EnduRL: Enhancing Safety, Stability, and Efficiency of Mixed Traffic under Real-World Perturbations Via Reinforcement Learning
Bibek Poudel, Weizi Li, Kevin Heaslip
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Torque Ripple Reduction in Quasi-Direct Drive Motors through Angle-Based Repetitive Learning Observer and Model Predictive Torque Controller
Hefei Zhang, Xiaohu Zhang, Jinyu Cheng, Jiangtao Hu, Chao Ji, Yu Wang, Yutong Jiang, Zhen Han, Wei Gao, Shiwu Zhang
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Learning to Simulate Tree-Branch Dynamics for Manipulation
Jayadeep Jacob, Tirthankar Bandyopadhyay, Jason Williams, Paulo Vinicius Koerich Borges, Fabio Ramos
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Contacts from Motion: Learning Discrete Features for Automatic Contact Detection and Estimation from Human Movements
Hibiki Miyake, Ko Ayusawa, Ryusuke Sagawa, Eiichi Yoshida
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Aligning Learning with Communication in Shared Autonomy
Joshua Hoegerman, Shahabedin Sagheb, Benjamin Christie, Dylan Losey
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Skin the Sheep Not Only Once: Reusing Various Depth Datasets to Drive the Learning of Optical Flow
Sheng Chi Huang, Wei-Chen Chiu
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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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Collaboration Strategies for Two Heterogeneous Pursuers in A Pursuit-Evasion Game Using Deep Reinforcement Learning
Zhanping Zhong, Zhuoning Dong, Xiaoming Duan, Jianping He
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X-Neuron: Interpreting, Locating and Editing of Neurons in Reinforcement Learning Policy
Yuhong Ge, Xun Zhao, Jiangmiao Pang, Mingguo Zhao, Dahua Lin
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PP-TIL: Personalized Planning for Autonomous Driving with Instance-Based Transfer Imitation Learning
Fangze Lin, Ying He, Fei Yu
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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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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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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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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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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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OPG-Policy: Occluded Push-Grasp Policy Learning with Amodal Segmentation
Hao Ding, Yiming Zeng, Zhaoliang Wan, Hui Cheng
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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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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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