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685 result(s) for “Representation Learning” Page 4 of 14
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A Novel Dual-Robot Accurate Calibration Method Using Convex Optimization and Lie Derivative
Cheng Jiang, Wen-long Li, Wen-pan Li, Dongfang Wang, Lijun Zhu, Wei Xu, Huan Zhao, Han Ding
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Spatial Graph-Based Localization and Navigation on Scaleless Floorplan
Zu Lin Ewe, Fu-Hao Chang, Yi-Shiang Huang, Li-Chen Fu
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MM3DGS SLAM: Multi-Modal 3D Gaussian Splatting for SLAM Using Vision, Depth, and Inertial Measurements
Lisong C. Sun, Neel P. Bhatt, Jonathan C. Liu, Zhiwen Fan, Zhangyang (Atlas) Wang, Todd E. Humphreys, Ufuk Topcu
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PreAfford: An Affordance-Based Pre-Grasping Framework with High Adaptability
Kairui Ding, Boyuan Chen, Ruihai Wu, Yuyang Li, Zongzheng Zhang, Huan-ang Gao, Siqi Li, Yixin Zhu, Guyue Zhou, Hao Dong, Hao Zhao
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NeuSurfEmb: A Complete Pipeline for Dense Correspondence-Based 6D Object Pose Estimation without CAD Models
Francesco Milano, Jen Jen Chung, Hermann Blum, Roland Siegwart, Lionel Ott
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C3P-VoxelMap: Compact, Cumulative and Coalescible Probabilistic Voxel Mapping
Xu Yang, Wenhao Li, Qijie Ge, Lulu Suo, Weijie Tang, Zhengyu Wei, Longxiang Huang, Bo Wang
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Toward Control of Wheeled Humanoid Robots with Unknown Payloads: Equilibrium Point Estimation via Real-to-Sim Adaptation
DongHoon Baek, Youngwoo Sim, Amartya Purushottam, Saurabh Gupta, Joao Ramos
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Co-Occ: Coupling Explicit Feature Fusion with Volume Rendering Regularization for Multi-Modal 3D Semantic Occupancy Prediction
Jingyi Pan, Zipeng Wang, Lin Wang
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Vision-Language Model-Based Physical Reasoning for Robot Liquid Perception
Wenqiang Lai, Tianwei Zhang, Tin Lun Lam, Yuan Gao
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Spike-Based High Energy Efficiency and Accuracy Tracker for Robot
Jinye Qu, Zeyu Gao, Li Yi, Yanfeng Lu, Hong Qiao
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MARVIS: Motion & Geometry Aware Real and Virtual Image Segmentation
Jiayi Wu, Xiaomin Lin, Shahriar Negahdaripour, Cornelia Fermuller, Yiannis Aloimonos
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Fine-Tuning the Diffusion Model and Distilling Informative Priors for Sparse-View 3D Reconstruction
Jiadong Tang, Yu Gao, Tianji Jiang, Yi Yang, Mengyin Fu
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TempBEV: Improving Learned BEV Encoders with Combined Image and BEV Space Temporal Aggregation
Thomas Monninger, Vandana Dokkadi, Md Zafar Anwar, Steffen Staab
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Universal Actuation Module and Kinematic Model for Heart Valve Interventional Catheter Robotization
Weizhao Wang, Zicong Wu, Carlo Saija, Aya Mutaz Zeidan, Zhouyang Xu, Aryana Pishkahi, Tiffany Patterson, Simon Redwood, Shuangyi Wang, Kawal Rhode, Richard James Housden
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Experience-Learning Inspired Two-Step Reward Method for Efficient Legged Locomotion Learning towards Natural and Robust Gaits
Yinghui Li, Jinze Wu, Xin Liu, Weizhong Guo, Yufei Xue
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Neural ODE-Based Imitation Learning (NODE-IL): Data-Efficient Imitation Learning for Long-Horizon Multi-Skill Robot Manipulation
Shiyao Zhao, Yucheng Xu, Mohammadreza Kasaei, Mohsen Khadem, Zhibin (Alex) Li
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Safe CoR: A Dual-Expert Approach to Integrating Imitation Learning and Safe Reinforcement Learning Using Constraint Rewards
Hyeokjin Kwon, Gunmin Lee, Junseo Lee, Songhwai Oh
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StROL: Stabilized and Robust Online Learning from Humans
Shaunak Mehta, Forrest Meng, Andrea Bajcsy, Dylan Losey
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Learning When to Stop: Efficient Active Tactile Perception with Deep Reinforcement Learning
Christopher Niemann, David Philip Leins, Luca Lach, Robert Haschke
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Continuous Rapid Learning by Human Imitation Using Audio Prompts and One-Shot Learning
Jaime Duque Domingo, Miguel García-GÃ3mez, Eduardo Zalama, Jaime Gomez Garcia Bermejo
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Preventing Catastrophic Forgetting in Continuous Online Learning for Autonomous Driving
Rui Yang, Zhi Yan, Tao Yang, Tomáï¿1⁄2 Krajník, Yassine Ruichek
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Iterative Reference Learning for Cartesian Impedance Control of Robot Manipulators
Julian Mauricio Salt Ducaju, Bjorn Olofsson, Rolf Johansson
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Funnel-Based Reward Shaping for Signal Temporal Logic Tasks in Reinforcement Learning
Naman Saxena, Sandeep Gorantla, Pushpak Jagtap
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A Cascaded Broad Learning System for Manipulator Motion Control
Guoyu Zuo, Shuaifeng Dong, Jiyong Zhou, Shuangyue Yu
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Interactive Reinforcement Learning from Natural Language Feedback
Imene Tarakli, Samuele Vinanzi, Alessandro Di Nuovo
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Bi-CL: A Reinforcement Learning Framework for Robots Coordination through Bi-Level Optimization
Zechen Hu, Daigo Shishika, Xuesu Xiao, Xuan Wang
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Offline Meta-Reinforcement Learning with Evolving Gradient Agreement
Jiaxing Chen, Weilin Yuan, Shaofei Chen, furong liu, AO MA, Zhenzhen Hu, Peng Li
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Crowd-Aware Robot Navigation with Switching between Learning-Based and Rule-Based Methods Using Normalizing Flows
Kohei Matsumoto, Yuki Hyodo, Ryo Kurazume
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MFC-EQ: Mean-Field Control with Envelope Q-Learning for Moving Decentralized Agents in Formation
Qiushi Lin, Hang Ma
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Tactile Active Inference Reinforcement Learning for Efficient Robotic Manipulation Skill Acquisition
Zihao Liu, Xing Liu, Zhengxiong Liu, Yizhai Zhang, Panfeng Huang
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Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning
Jishnu Jaykumar P, Kamalesh Palanisamy, Yu-Wei Chao, Xinya Du, Yu Xiang
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MARRGM: Learning Framework for Multi-Agent Reinforcement Learning Via Reinforcement Recommendation and Group Modification
Wu, Peiliang,Tian, Liqiang,Zhang, Qian,Mao, BingYi,Chen, Wenbai
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Task and Domain Adaptive Reinforcement Learning for Robot Control
Yu Tang Liu, Nilaksh Nilaksh, Aamir Ahmad
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VoxelContrast: Voxel Contrast-Based Unsupervised Learning for 3D Point Clouds
Yuxiang Qin, HAO SUN
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A Safe Preference Learning Approach for Personalization with Applications to Autonomous Vehicles
Ruya Karagulle, Nikos Arechiga, Andrew Best, Jonathan DeCastro, Necmiye Ozay
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Learning-Informed Long-Horizon Navigation under Uncertainty for Vehicles with Dynamics
Abhish Khanal, Hoang-Dung Bui, Erion Plaku, Gregory Stein
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Constrained Bootstrapped Learning for Few-Shot Robot Skill Adaptation
A K M Nadimul Haque, Fouad Sukkar, Lukas Tanz, Marc Carmichael, Teresa A. Vidal-Calleja
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DRIFT: Deep Reinforcement Learning for Intelligent Floating Platforms Trajectories
Matteo El Hariry, Antoine Richard, Vivek Muralidharan, Matthieu Geist, Miguel A. Olivares-Mendez
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Autonomous Landing on a Moving Platform Using Vision-Based Deep Reinforcement Learning
Pawel Ladosz, Meraj Mammadov, Heejung Shin, Woojae Shin, Hyondong Oh
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CaT: Constraints As Terminations for Legged Locomotion Reinforcement Learning
Elliot Chane-Sane, Pierre-Alexandre Leziart, Thomas Flayols, Olivier Stasse, Philippe Soueres, Nicolas Mansard
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Adaptive Social Force Window Planner with Reinforcement Learning
Mauro Martini, Noe Perez-Higueras, Andrea Ostuni, Marcello Chiaberge, Fernando Caballero, Luis Merino
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Learning Deep Dynamical Systems Using Stable Neural ODEs
Andreas Sochopoulos, Michael Gienger, Sethu Vijayakumar
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A Deep Reinforcement Learning Framework and Methodology for Reducing the Sim-to-Real Gap in ASV Navigation
Luis F. W. Batista, Junghwan Ro, Antoine Richard, Pete Schroepfer, Seth Hutchinson, Cedric Pradalier
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Fixing Symbolic Plans with Reinforcement Learning in Object-Based Action Spaces
Christopher Thierauf, Matthias Scheutz
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Communication-Efficient Multi-Robot Exploration Using Distributed Coverage-Biased Q-Learning
Ehsan Latif, Ramviyas Parasuraman
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RESPRECT: Speeding-Up Multi-Fingered Grasping with Residual Reinforcement Learning
Federico Ceola, Lorenzo Rosasco, Lorenzo Natale
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Reinforcement Learning for Active Search and Grasp in Clutter
Thomas Pitcher, Julian Förster, Jen Jen Chung
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A Non-Homogeneity Mapless Navigation Based on Hierarchical Safe Reinforcement Learning in Dynamic Complex Environments
Jianmin Qin, Qingchen Liu, Qichao Ma, Zipeng Wu, Jiahu Qin
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Signal Temporal Logic-Guided Apprenticeship Learning
Aniruddh Gopinath Puranic, Jyotirmoy Deshmukh, Stefanos Nikolaidis
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Incremental Learning of Robotic Manipulation Tasks through Virtual Reality Demonstrations
Giuseppe Rauso, Riccardo Caccavale, Alberto Finzi
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