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ICRA 2024

2337 papers · 0 AI summaries · 2024

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1415 result(s) for “Learning from Demonstration” Page 8 of 29
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A Generalized Acquisition Function for Preference-Based Reward Learning
Evan Ellis, Gaurav Ghosal, Stuart Jonathan Russell, Anca Dragan, Erdem Bıyık
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Discwise Active Learning for LiDAR Semantic Segmentation
Ozan Unal, Dengxin Dai, Ali Tamer Unal, Luc Van Gool
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Reinforcement Learning for Reduced-Order Models of Legged Robots
Yu-Ming Chen, Hien Bui, Michael Posa
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Orientation-Aware Multi-Modal Learning for Road Intersection Identification and Mapping
Qibin He, Zhongyang Xiao, Ze Huang, Hongyuan Yuan, Li Sun
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HybGrasp: A Hybrid Learning-To-Adapt Architecture for Efficient Robot Grasping
Jungwook Mun, Khang Truong Giang, Yunghee Lee, Nayoung Oh, Sejoon Huh, Min Kim, Sungho Jo
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ArrayBot: Reinforcement Learning for Generalizable Distributed Manipulation through Touch
Zhengrong Xue, Han Zhang, Cheng Jingwen, Zhengmao He, Yuanchen Ju, Changyi Lin, Gu Zhang, Huazhe Xu
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Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training
Vedant Dave, Fotios Lygerakis, Elmar Rueckert
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Active Automotive Augmented Reality Displays Using Reinforcement Learning
Ju-Hyeok Ryu, Chan Kim, Seong-Woo Kim
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Multi-Robot Cooperative Navigation in Crowds: A Game-Theoretic Learning-Based Model Predictive Control Approach
Viet-Anh Le, Vaishnav Tadiparthi, Behdad Chalaki, Hossein Nourkhiz Mahjoub, Jovin D'sa, Ehsan Moradi-Pari, Andreas Malikopoulos
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Learning Adaptive Policies for Autonomous Excavation under Various Soil Conditions by Adversarial Domain Sampling
Takayuki Osa, Naoto Osajima, Masanori Aizawa, Tatsuya Harada
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Decentralized Multi-Robot Navigation for Autonomous Surface Vehicles with Distributional Reinforcement Learning
Xi Lin, Yewei Huang, Fanfei Chen, Brendan Englot
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Automated Testing of Spatially-Dependent Environmental Hypotheses through Active Transfer Learning
Nicholas Harrison, Nathan Daniel Wallace, Salah Sukkarieh
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Reinforcement Learning of Action and Query Policies with LTL Instructions under Uncertain Event Detector
Wataru Hatanaka, Ryota Yamashina, Takamitsu Matsubara
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Meta-Reinforcement Learning Based Cooperative Surface Inspection of 3D Uncertain Structures Using Multi-Robot Systems
Junfeng Chen, Yuan Gao, Junjie Hu, Fuqin Deng, Tin Lun Lam
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Unsupervised Learning of Neuro-Symbolic Rules for Generalizable Context-Aware Planning in Object Arrangement Tasks
Siddhant Sharma, Shreshth Tuli, Rohan Paul
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Learning to Walk in Confined Spaces Using 3D Representation
Takahiro Miki, Joonho Lee, Lorenz Wellhausen, Marco Hutter
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On-Device Self-Supervised Learning of Visual Perception Tasks Aboard Hardware-Limited Nano-Quadrotors
Elia Cereda, Manuele Rusci, Alessandro Giusti, Daniele Palossi
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Learning for Dynamic Subteaming and Voluntary Waiting in Heterogeneous Multi-Robot Collaborative Scheduling
Williard Joshua Jose, Hao Zhang
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Learning Hierarchical Interactive Multi-Object Search for Mobile Manipulation
Fabian Schmalstieg, Daniel Honerkamp, Tim Welschehold, Abhinav Valada
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Sim-To-Real Model-Based and Model-Free Deep Reinforcement Learning for Tactile Pushing
Max Yang, Yijiong Lin, Alex Church, John Lloyd, Dandan Zhang, David A. W. Barton, Nathan Lepora
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Efficient Composite Learning Robot Control under Partial Interval Excitation
Tian Shi, Weibing Li, Haoyong Yu, Yongping Pan
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Weathering Ongoing Uncertainty: Learning and Planning in a Time-Varying Partially Observable Environment
Gokul Puthumanaillam, Xiangyu Liu, Negar Mehr, Melkior Ornik
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MAC-ID: Multi-Agent Reinforcement Learning with Local Coordination for Individual Diversity
Hojun Chung, Jeongwoo Oh, Jae Seok Heo, Gunmin Lee, Songhwai Oh
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Visual CPG-RL: Learning Central Pattern Generators for Visually-Guided Quadruped Locomotion
Guillaume Bellegarda, Milad Shafiee, Auke Ijspeert
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Phasic Diversity Optimization for Population-Based Reinforcement Learning
Jingcheng Jiang, Haiyin Piao, Yu Fu, Yihang Hao, Chuanlu Jiang, Ziqi Wei, Xin Yang
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SCALE: Self-Correcting Visual Navigation for Mobile Robots Via Anti-Novelty Estimation
Chang Chen, Yuecheng Liu, Yuzheng Zhuang, Sitong Mao, Kaiwen Xue, Shunbo ZHOU
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Learning Diverse Skills for Local Navigation under Multi-Constraint Optimality
Jin Cheng, Marin Vlastelica, Pavel Kolev, Chenhao Li, Georg Martius
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Maximising Coefficiency of Human-Robot Handovers through Reinforcement Learning
Marta Lagomarsino, Marta Lorenzini, Merryn Dale Constable, Elena De Momi, Cristina Becchio, Arash Ajoudani
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Controlling FES of Arm Movements Using Physics-Informed Reinforcement Learning Via Co-Kriging Adjustment
Nat Wannawas, Clara Diaz-Pintado, Jyotindra Narayan, Aldo Faisal
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NFL: Normal Field Learning for 6-DoF Grasping of Transparent Objects
Junho Lee, Sang Min Kim, Yonghyeon Lee, Young Min Kim
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Safe Reinforcement Learning with Dead-Ends Avoidance and Recovery
xiao zhang, Hai Zhang, Hongtu Zhou, Chang Huang, Di Zhang, Chen Ye, Junqiao Zhao
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Enhancing Task Performance of Learned Simplified Models Via Reinforcement Learning
Hien Bui, Michael Posa
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Multi-Task Learning for Real-Time Autonomous Driving Leveraging Task-Adaptive Attention Generator
Wonhyeok Choi, Mingyu Shin, HYUKZAE LEE, Jaehoon Cho, Jaehyeon Park, Sunghoon Im
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HAGrasp: Hybrid Action Grasp Control in Cluttered Scenes Using Deep Reinforcement Learning
Kai-Tai Song, Hsiang-Hsi Chen
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Active Learning with Dual Model Predictive Path-Integral Control for Interaction-Aware Autonomous Highway On-Ramp Merging
Jacob Knaup, Jovin D'sa, Behdad Chalaki, Tyler Naes, Hossein Nourkhiz Mahjoub, Ehsan Moradi-Pari, Panagiotis Tsiotras
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Perception-And-Energy-Aware Motion Planning for UAV Using Learning-Based Model under Heteroscedastic Uncertainty
Reiya Takemura, Genya Ishigami
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Residual-NeRF : Learning Residual NeRFs for Transparent Object Manipulation
Bart Duisterhof, Yuemin Mao, Si Heng Teng, Jeffrey Ichnowski
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Learning Heterogeneous Multi-Agent Allocations for Ergodic Search
Ananya Rao, Guillaume Adrien Sartoretti, Howie Choset
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Learning Which Side to Scan: Multi-View Informed Active Perception with Side Scan Sonar for Autonomous Underwater Vehicles
Advaith Venkatramanan Sethuraman, Philip Baldoni, Katherine Skinner, James McMahon
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Extremum-Seeking Action Selection for Accelerating Policy Optimization
Ya-Chien Chang, Sicun Gao
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N2M2: Learning Navigation for Arbitrary Mobile Manipulation Motions in Unseen and Dynamic Environments
Daniel Honerkamp, Tim Welschehold, Abhinav Valada
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Sim2Real Transfer of Reinforcement Learning for Concentric Tube Robots
Keshav Kannan Iyengar, S.M.Hadi Sadati, Christos Bergeles, Sarah Spurgeon, Danail Stoyanov
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Bi-Touch: Bimanual Tactile Manipulation with Sim-To-Real Deep Reinforcement Learning
Yijiong Lin, Alex Church, Max Yang, Haoran Li, John Lloyd, Dandan Zhang, Nathan Lepora
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Model Optimization in Deep Learning Based Robot Control for Autonomous Driving
Sergio Paniego, Nikhil Paliwal, José M. Cañas
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Imitation Learning-Based System for the Execution of Self-Paced Robotic-Assisted Passive Rehabilitation Exercises
Rafael J. Escarabajal, José Luis Pulloquinga, Pau Zamora-Ortiz, Angel Valera, Vicente Mata, Marina Valles
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Learning with Chemical versus Electrical Synapses - Does It Make a Difference?
Monika Farsang, Mathias Lechner, David Lung, Ramin Hasani, Daniela Rus, Radu Grosu
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Scaling Team Coordination on Graphs with Reinforcement Learning
Manshi Limbu, Zechen Hu, Xuan Wang, Daigo Shishika, Xuesu Xiao
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Traffic Flow Learning Enhanced Large-Scale Multi-Robot Cooperative Path Planning Under Uncertainties
Xingyao Han, Siyuan Chen, Xinye Xiong, Qiming Liu, Shunbo Zhou, Heng Zhang, Zhe Liu
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Geometric Fabrics: A Safe Guiding Medium for Policy Learning
Karl Van Wyk, Ankur Handa, Viktor Makoviichuk, Yijie Guo, Arthur Allshire, Nathan Ratliff
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AllSight: A Low-Cost and High-Resolution round Tactile Sensor with Zero-Shot Learning Capability
Osher Azulay, Nimrod Curtis, Rotem Sokolovsky, Guy Levistky, Daniel Slomovik, Guy Lilling, Avishai Sintov
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