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IROS 2024

1856 papers · 0 AI summaries · 2024

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984 result(s) for “Deep Learning Methods” Page 5 of 20
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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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CoBL-Diffusion: Diffusion-Based Conditional Robot Planning in Dynamic Environments Using Control Barrier and Lyapunov Functions
Kazuki Mizuta, Karen Leung
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MPGNet: Learning Move-Push-Grasping Synergy for Target-Oriented Grasping in Occluded Scenes
Dayou Li, Chenkun Zhao, Shuo Yang, Ran Song, Xiaolei Li, Wei Zhang
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Riemannian Flow Matching Policy for Robot Motion Learning
Max Braun, Noémie Jaquier, Leonel Rozo, Tamim Asfour
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Learning-Based Adaptive Control of Quadruped Robots for Active Stabilization on Moving Platforms
Minsung Yoon, Heechan Shin, Jeil Jeong, Sung-eui Yoon
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ParkingE2E: Camera-Based End-To-End Parking Network, from Images to Planning
Changze Li, Ziheng Ji, Zhe Chen, Tong Qin, Ming Yang
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Steering Decision Transformers Via Temporal Difference Learning
Hao-Lun Hsu, Alper Kamil Bozkurt, Juncheng Dong, Qitong Gao, Vahid Tarokh, Miroslav Pajic
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LEEPS: Learning End-To-End Legged Perceptive Parkour Skills on Challenging Terrains
Tangyu Qian, Hao Zhang, Zhangli Zhou, Hao Wang, Cai Mingyu, Zhen Kan
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Learning Adaptive Controller for Hydraulic Machinery Automation
Fang Nan, Marco Hutter
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Data-Efficient Task Generalization via Probabilistic Model-Based Meta Reinforcement Learning
Arjun Bhardwaj, Jonas Rothfuss, Bhavya Sukhija, Yarden As, Marco Hutter, Stelian Coros, Andreas Krause
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Jointly Learning Cost and Constraints from Demonstrations for Safe Trajectory Generation
Shivam Chaubey, Francesco Verdoja, Ville Kyrki
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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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Graph Neural Network-Based Multi-Agent Reinforcement Learning for Resilient Distributed Coordination of Multi-Robot Systems
Anthony Goeckner, Yueyuan Sui, Nicolas Martinet, Xinliang Li, Qi Zhu
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Diff-Control: A Stateful Diffusion-Based Policy for Imitation Learning
Xiao Liu, Yifan Zhou, Fabian Clemens Weigend, Shubham Sonawani, Shuhei Ikemoto, Heni Ben Amor
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AutoJoin: Efficient Adversarial Training against Gradient-Free Perturbations for Robust Maneuvering Via Denoising Autoencoder and Joint Learning
Michael Villarreal, Bibek Poudel, Ryan Wickman, Yu Shen, Weizi Li
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Visual Imitation Learning of Task-Oriented Object Grasping and Rearrangement
Yichen Cai, Jianfeng Gao, Christoph Pohl, Tamim Asfour
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Guiding Reinforcement Learning with Incomplete System Dynamics
Shuyuan Wang
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SPDAGG-TransNet: Integrating Symmetric Positive Definite Networks with Transformers for UAV-Human Action Recognition
Mohamed Sanim Akremi, najett neji, Hedi Tabia
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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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Learning Generalizable Manipulation Policy with Adapter-Based Parameter Fine-Tuning
Kai Lu, Kim Tien Ly, William Hebberd, kaichen zhou, Ioannis Havoutis, Andrew Markham
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Skill Q-Network: Learning Adaptive Skill Ensemble for Mapless Navigation in Unknown Environments
Hyunki Seong, David Hyunchul Shim
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Reinforcement Learning with Generalizable Gaussian Splatting
Jiaxu Wang, Qiang Zhang, Jingkai SUN, Jiahang Cao, Gang Han, Wen Zhao, Weining ZHANG, Yecheng Shao, Yijie Guo, Renjing Xu
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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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ARCADE: Scalable Demonstration Collection and Generation Via Augmented Reality for Imitation Learning
Yue Yang, Bryce Ikeda, Gedas Bertasius, Daniel J. Szafir
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DexDribbler: Learning Dexterous Soccer Manipulation Via Dynamic Supervision
Yutong Hu, Kehan Wen, Fisher Yu
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Learning a Shape-Conditioned Agent for Purely Tactile In-Hand Manipulation of Various Objects
Johannes Pitz, Lennart Röstel, Leon Sievers, Darius Burschka, Berthold Bäuml
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Safe Imitation Learning of Nonlinear Model Predictive Control for Flexible Robots
Shamil Mamedov, Rudolf Reiter, Seyed Mahdi Basiri Azad, Ruan Matthys Viljoen, Joschka Boedecker, Moritz Diehl, Jan Swevers
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VRSO: Visual-Centric Reconstruction for Static Object Annotation
Chenyao Yu, Yingfeng Cai, Jiaxin Zhang, Wei Sui, Hui Kong, Cong Yang
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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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Multi-Modal Motion Prediction Using Temporal Ensembling with Learning-Based Aggregation
Kai-Yin Hong, Chieh-Chih Wang, Wen-Chieh Lin
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Leveraging Demonstrator-Perceived Precision for Safe Interactive Imitation Learning of Clearance-Limited Tasks
Hanbit Oh, Takamitsu Matsubara
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Cross-Modal Self-Supervised Learning with Effective Contrastive Units for LiDAR Point Clouds
Mu Cai, Chenxu Luo, Yong Jae Lee, Xiaodong Yang
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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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BaRiFlex: A Robotic Gripper with Versatility and Collision Robustness for Robot Learning
Gu-Cheol Jeong, Arpit Bahety, Gabriel Pedraza, Ashish Deshpande, Roberto Martín-Martín
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Ag2Manip: Learning Novel Manipulation Skills with Agent-Agnostic Visual and Action Representations
Puhao Li, Tengyu Liu, Yuyang Li, Muzhi Han, Haoran Geng, Shu Wang, Yixin Zhu, Song-Chun Zhu, Siyuan Huang
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Ensembling Prioritized Hybrid Policies for Multi-Agent Pathfinding
Huijie Tang, Federico Berto, Jinkyoo Park
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Neural Kinodynamic Planning: Learning for Kinodynamic Tree Expansion
Tin Lai, Weiming Zhi, Tucker Hermans, Fabio Ramos
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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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CMR-Agent: Learning a Cross-Modal Agent for Iterative Image-To-Point Cloud Registration
Gongxin Yao, Yixin Xuan, Xinyang Li, Yu Pan
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Diffusion Policies for Out-Of-Distribution Generalization in Offline Reinforcement Learning
Suzan Ece Ada, Erhan Oztop, Emre Ugur
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Diffusion Policies for Out-Of-Distribution Generalization in Offline Reinforcement Learning
Suzan Ece Ada, Erhan Oztop, Emre Ugur
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3D Branch Point Cloud Completion for Robotic Pruning in Apple Orchards
Tian Qiu, Alan Zoubi, Nikolai Spine, Lailiang Cheng, Yu Jiang
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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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IMTSP: Solving Min-Max Multiple Traveling Salesman Problem with Imperative Learning
Yifan Guo, Zhongqiang Ren, Chen Wang
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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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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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Distilling Reinforcement Learning Policies for Interpretable Robot Locomotion: Gradient Boosting Machines and Symbolic Regression
Fernando Acero, Zhibin (Alex) Li
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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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Continual Learning for Autonomous Robots: A Prototype-Based Approach
Elvin Hajizada, Balachandran Swaminathan, Yulia Sandamirskaya
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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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