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ICRA 2024

2337 papers · 0 AI summaries · 2024

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2274 result(s) for “Data Sets for Robot Learning” Page 8 of 46
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Towards a Robust Sensor Fusion Step for 3D Object Detection on Corrupted Data
Maciej Kazimierz Wozniak, Viktor Karefjard, Marko Thiel, Patric Jensfelt
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Grasp Anything: Combining Teacher-Augmented Policy Gradient Learning with Instance Segmentation to Grasp Arbitrary Objects
Malte Mosbach, Sven Behnke
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Robust Multi-Robot Global Localization with Unknown Initial Pose Based on Neighbor Constraints
yaojie zhang, haowen luo, Weijun Wang, Wei Feng
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Safe Risk-Averse Bayesian Optimization for Controller Tuning
Christopher König, Miks Ozols, Anastasiia Makarova, Efe Balta, Andreas Krause, Alisa Rupenyan
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VDNA-PR: Using General Dataset Representations for Robust Sequential Visual Place Recognition
Benjamin Ramtoula, Daniele De Martini, Matthew Gadd, Paul Newman
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Learning-Based Object Recognition Via a Eutectogel Electronic Skin Enabled Soft Robotic Gripper
Mo Deng, Fengya Fan, Xi Wei
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Towards Real-World Efficiency: Domain Randomization in Reinforcement Learning for Pre-Capture of Free-Floating Moving Targets by Autonomous Robots
Bahador Beigomi, ZhengHong (George) Zhu
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A User-Centered Shared Control Scheme with Learning from Demonstration for Robotic Surgery
Haoyi Zheng, Zhaoyang Jacopo Hu, yanpei huang, Xiaoxiao Cheng, Ziwei Wang, etienne burdet
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Domain Adaptation of Visual Policies with a Single Demonstration
Weiyao Wang, Gregory Hager
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Transformer-Based Prediction of Human Motions and Contact Forces for Physical Human-Robot Interaction
Alessia Fusco, Valerio Modugno, Dimitrios Kanoulas, Alessandro Rizzo, Marco Cognetti
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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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RaSim: A Range-Aware High-Fidelity RGB-D Data Simulation Pipeline for Real-World Applications
Xingyu Liu, Chenyangguang Zhang, Gu Wang, Ruida Zhang, Xiangyang Ji
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See to Touch: Learning Tactile Dexterity through Visual Incentives
Irmak Guzey, Yinlong Dai, Ben Evans, Soumith Chintala, Lerrel Pinto
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Streamlined Acquisition of Large Sensor Data for Autonomous Mobile Robots to Enable Efficient Creation and Analysis of Datasets
Mark Niemeyer, Julian Arkenau, Sebastian Pütz, Joachim Hertzberg
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Learning Agile Locomotion and Adaptive Behaviors Via RL-Augmented MPC
Yiyu Chen, Quan Nguyen
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PathRL: An End-To-End Path Generation Method for Collision Avoidance Via Deep Reinforcement Learning
Wenhao Yu, Jie Peng, Quecheng Qiu, Hanyu Wang, Lu Zhang, Jianmin Ji
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Physics-Informed Neural Network for Multirotor Slung Load Systems Modeling
Gil Serrano, Marcelo Jacinto, Jose Ribeiro-Gomes, Joao Pinto, Bruno J. N. Guerreiro, Alexandre Bernardino, Rita Cunha
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A Learning-Based Approach for Estimating Inertial Properties of Unknown Objects from Encoder Discrepancies
Zizhou Lao, Yuanfeng Han, Yunshan Ma, Gregory Chirikjian
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Synthesize Efficient Safety Certificates for Learning-Based Safe Control Using Magnitude Regularization
Haotian Zheng, Haitong Ma, Sifa Zheng, Shengbo Eben Li, Jianqiang Wang
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VIDAR: Data Quality Improvement for Monocular 3D Reconstruction through In-Situ Visual Interaction
Han Gao, Yating Liu, Fang Cao, Hao Wu, Fengyuan Xu, Sheng Zhong
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Learning Complex Motion Plans Using Neural ODEs with Safety and Stability Guarantees
Farhad Nawaz Savvas Sadiq Ali, Tianyu Li, Nikolai Matni, Nadia Figueroa
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Barrier Functions Inspired Reward Shaping for Reinforcement Learning
Nilaksh Nilaksh, Abhishek Ranjan, Shreenabh Agrawal, Aayush Jain, Pushpak Jagtap, Shishir Kolathaya
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Circular Accessible Depth: A Robust Traversability Representation for UGV Navigation
Shikuan Xie, Ran Song, Yuenan Zhao, Xueqin Huang, Yibin Li, Wei Zhang
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POLITE: Preferences Combined with Highlights in Reinforcement Learning
Simon Holk, Daniel Marta, Iolanda Leite
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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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One-Shot Imitation Learning with Graph Neural Networks for Pick-And-Place Manipulation Tasks
Francesco Di Felice, Salvatore D'Avella, Alberto Remus, Paolo Tripicchio, Carlo Alberto Avizzano
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Data Association Aware POMDP Planning with Hypothesis Pruning Performance Guarantees
Moran Barenboim, Idan Lev Yehudi, Vadim Indelman
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Gathering Data from Risky Situations with Pareto-Optimal Trajectories
Brennan Brodt, Alyssa Pierson
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LiDAR Data Synthesis with Denoising Diffusion Probabilistic Models
Kazuto Nakashima, Ryo Kurazume
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OpenAnnotate3D: Open-Vocabulary Auto-Labeling System for Multi-Modal 3D Data
Yijie Zhou, Likun Cai, Xianhui Cheng, Zhongxue Gan, Xiangyang Xue, Wenchao Ding
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UNRealNet: Learning Uncertainty-Aware Navigation Features from High-Fidelity Scans of Real Environments
Samuel Triest, David D. Fan, Sebastian Scherer, Ali-akbar Agha-mohammadi
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Resilient Legged Local Navigation: Learning to Traverse with Compromised Perception End-To-End
Chong Zhang, Jin Jin, Jonas Frey, Nikita Rudin, Matias Mattamala, Cesar Cadena Lerma, Marco Hutter
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Learning Force Control for Legged Manipulation
Tifanny Portela, Gabriel Margolis, Yandong Ji, Pulkit Agrawal
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FIMP: Future Interaction Modeling for Multi-Agent Motion Prediction
Sungmin Woo, Minjung Kim, Donghyeong Kim, Sungjun Jang, Sangyoun Lee
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Learning Covariances for Estimation with Constrained Bilevel Optimization
Mohamad Qadri, Zachary Manchester, Michael Kaess
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Robust Few-Shot 3D Point Cloud Scene Segmentation
Hao Huang, Shuaihang Yuan, Congcong Wen, Yu Hao, Yi Fang
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Optimal Control of Granular Material
Yuichiro Aoyama, Amin Haeri, Evangelos Theodorou
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Vehicle Behavior Prediction by Episodic-Memory Implanted NDT
Peining Shen, Jianwu Fang, Hongkai Yu, Jianru Xue
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Reinforcement Learning for Blind Stair Climbing with Legged and Wheeled-Legged Robots
Simon Chamorro, Victor Klemm, Miguel de la Iglesia Valls, CHRIS PAL, Roland Siegwart
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Human Robot Shared Control in Surgery: A Performance Assessment
Longrui Chen, Zhaoyang Jacopo Hu, yanpei huang, etienne burdet, Ferdinando Rodriguez y Baena
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On the Feasibility of EEG-Based Motor Intention Detection for Real-Time Robot Assistive Control
Ho Jin Choi, Satyajeet Das, Shaoting Peng, Ruzena Bajcsy, Nadia Figueroa
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Energy-Based Detection of Adverse Weather Effects in LiDAR Data
Aldi Piroli, Vinzenz Dallabetta, Johannes Kopp, Marc Walessa, Daniel Meissner, Klaus Dietmayer
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DeRi-Bot: Learning to Collaboratively Manipulate Rigid Objects Via Deformable Objects
Zixing Wang, Ahmed H. Qureshi
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Sim2Real Manipulation on Unknown Objects with Tactile-Based Reinforcement Learning
Entong Su, Chengzhe Jia, Yuzhe Qin, Wenxuan Zhou, Annabella Macaluso, Binghao Huang, Xiaolong Wang
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Contrastive Learning for Enhancing Robust Scene Transfer in Vision-Based Agile Flight
Jiaxu Xing, Leonard Bauersfeld, Yunlong Song, Chunwei Xing, Davide Scaramuzza
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Stackelberg Game-Theoretic Trajectory Guidance for Multi-Robot Systems with Koopman Operator
Yuhan Zhao, Quanyan Zhu
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Adapting to the �Open World�: The Utility of Hybrid Hierarchical Reinforcement Learning and Symbolic Planning
Pierrick Lorang, Horvath Helmut, Tobias Kietreiber, Patrik Zips, Clemens Heitzinger, Matthias Scheutz
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Multi-Task Learning of Active Fault-Tolerant Controller for Leg Failures in Quadruped Robots
Taixian Hou, Jiaxin Tu, Xiaofei Gao, Zhiyan Dong, Peng Zhai, Lihua ZHang
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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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Diffusion-Based Point Cloud Super-Resolution for mmWave Radar Data
kai luan, Chenghao Shi, Neng Wang, Yuwei Cheng, Huimin Lu, Xieyuanli Chen
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