多模态信息融合

ConFusion: Sensor Fusion for Complex Robotic Systems using Nonlinear Optimization

ConFusion：利用非线性优化的复杂机器人系统传感器融合

Timothy Sandy, Lukas Stadelmann, Simon Kerscher, Jonas Buchli

机构 * Agile & Dexterous Robotics Lab, ETH Zurich（敏捷与灵活机器人实验室，苏黎世联邦理工学院） 纠错

专题命中 机器人多传感器融合 ：sensor fusion(title,abstract)；分类 cs.RO

AI总结 本文提出ConFusion，一种用于机器人应用的开源传感器融合框架，通过非线性优化实现灵活的传感器融合设计，并展示了其在视觉惯性跟踪和移动机械臂上的性能。

Journal ref IEEE Robotics and Automation Letters, 2019, Volume 4, Number 2, Pages 1093-1100

Tactile-Proprioceptive Sensor Fusion for Contact Wrench Estimation in Whole-Body Physical Human-Robot Interaction

触觉-本体感觉传感器融合用于全身物理人机交互中的接触力估计

Junha Min, Junghyeon Ma, Jiwung Kwon, Sunggyu Bae, Joohyung Kim, Kyungseo Park

机构 * Department of Robotics and Mechatronics Engineering, DGIST (Daegu Gyeongbuk Institute of Science and Technology)（机器人与机电工程系，DGIST（大邱庆尚科学技术研究所）） ； Kinetic Intelligent Machine Lab (KIMLAB), University of Illinois Urbana-Champaign（动能智能机器实验室（KIMLAB），伊利诺伊大学厄巴纳-香槟分校） 纠错

专题命中 机器人多传感器融合 ：sensor fusion(title,abstract)；分类 cs.RO

AI总结 提出触觉-本体感觉融合框架，利用气动皮肤垫的触觉线索作为接触指示器，结合基于电机电流的本体感觉，通过时间卷积网络消除摩擦滞后，实现多轴接触力重建，提高物理人机交互的灵敏度和响应性。

Comments 8 pages, 6 figures. Accepted to IEEE International Conference on Robotics and Automation (ICRA) 2026

A Survey on Dynamic Neural Networks: from Computer Vision to Multi-modal Sensor Fusion

动态神经网络综述：从计算机视觉到多模态传感器融合

Fabio Montello, Ronja Güldenring, Simone Scardapane, Lazaros Nalpantidis

机构 * DTU Electrical and Photonics Engineering, Technical University of Denmark（丹麦技术大学电气与光子工程系） ； DIET Department, Sapienza University of Rome（罗马萨皮恩扎大学DIET系） 纠错

专题命中 机器人多传感器融合 ：sensor fusion(title,abstract)；分类 cs.CV

AI总结 本文综述了动态神经网络在计算机视觉中的应用，探讨了其在多模态传感器融合中的优势，提出了一种基于网络组件适应性的分类方法，并提供了相关研究的资源库。

Comments Under review at Image and Vision Computing

TEMPO-VINE: A Multi-Temporal Sensor Fusion Dataset for Localization and Mapping in Vineyards

TEMPO-VINE：一个多时序传感器融合数据集用于葡萄园的定位与建图

Mauro Martini, Marco Ambrosio, Judith Vilella-Cantos, Alessandro Navone, Marcello Chiaberge

机构 * Department of Electronics and Communications, Politecnico di Torino（电子与通信系，politecnico di torino大学） ； University Institute for Engineering Research, Miguel Hernández University（工程研究大学学院，miguel hernández大学） 纠错

专题命中 机器人多传感器融合 ：sensor fusion(title,abstract)；分类 cs.RO

AI总结 TEMPO-VINE数据集通过多时序传感器融合数据，为葡萄园的定位与建图提供全面的基准测试资源。

SurgFusion-Net: Diversified Adaptive Multimodal Fusion Network for Surgical Skill Assessment

SurgFusion-Net：用于外科技能评估的多样化自适应多模态融合网络

Runlong He, Freweini M. Tesfai, Matthew W. E. Boal, Nazir Sirajudeen, Dimitrios Anastasiou, Jialang Xu, Mobarak I. Hoque, Philip J. Edwards, John D. Kelly, Ashwin Sridhar, Abdolrahim Kadkhodamohammadi, Dhivya Chandrasekaran, Matthew J. Clarkson, Danail Stoyanov, Nader Francis, Evangelos B. Mazomenos

机构 * UCL Hawkes Institute and the Department of Medical Physics & Biomedical Engineering, UCL（UCL哈维斯研究所及UCL医学物理与生物医学工程系） ； UCL Hawkes Institute and the Department of Computer Science, UCL（UCL哈维斯研究所及UCL计算机科学系） ； UCL Hawkes Institute and the Division of Informatics, Imaging & Data Sciences, The University of Manchester（UCL哈维斯研究所及信息学、成像与数据科学系，曼彻斯特大学） ； UCL Hospitals NHS Foundation Trust（UCL医院 NHS基金会信托） ； Griffin Institute, Northwick Park and St Mark’s Hospital（格里芬研究所，北wick公园及圣马可医院） 纠错

专题命中 机器人多传感器融合 ：multimodal fusion(title)；information fusion(abstract)；分类 cs.RO

AI总结 SurgFusion-Net通过引入DRA策略和两个新的临床数据集，提升了多模态外科技能评估的准确性和可靠性。

Design and Experimental Validation of an Autonomous USV for Sensor Fusion-Based Navigation in GNSS-Denied Environments

面向GNSS拒止环境的自主水下无人艇设计与实验验证

Samuel Cohen-Salmon, Itzik Klein

机构 * The Hatter Department of Marine Technologies, Charney School of Marine Sciences, University of Haifa, Israel（海洋技术系、海洋科学学院、海法大学，以色列） 纠错

专题命中 机器人多传感器融合 ：sensor fusion(title,abstract)；分类 cs.RO

AI总结 本文提出了一种面向GNSS拒止环境的自主无人艇，通过模块化设计和传感器融合技术实现导航算法的实测验证。

Comments submitted to IEEE OCEANS 2025 Brest

Availability-aware Sensor Fusion via Unified Canonical Space

Dong-Hee Paek, Seung-Hyun Kong

机构 * CCS Graduate School of Mobility（移动系统联合研究生院） ； KAIST（韩国科学技术院） 纠错

专题命中 机器人多传感器融合 ：sensor fusion(title,abstract)；分类 cs.CV

Comments Accepted at NeurIPS 2025

Journal ref Proceedings of the Neural Information Processing Systems (NeurIPS 2025)

Hypergraph Contrastive Sensor Fusion for Multimodal Fault Diagnosis in Induction Motors

Usman Ali, Ali Zia, Waqas Ali, Umer Ramzan, Abdul Rehman, Muhammad Tayyab Chaudhry, Wei Xiang

专题命中 机器人多传感器融合 ：sensor fusion(title,abstract)；分类 eess.SP

Comments Submitted to IEEE Sensors Journal

Trajectory Based Observer Design: A Framework for Lightweight Sensor Fusion

Federico Oliva, Tom Shaked, Daniele Carnevale, Amir Degani

机构 * Technion Autonomous Systems Program, Technion - Israeli Institute of Technology（特拉维夫理工学院自主系统项目，特拉维夫以色列理工学院） ； Department of Civil Engineering and Computer Science, Tor Vergata university of Rome（土木工程与计算机科学系，罗马托尔维加大学） 纠错

专题命中 机器人多传感器融合 ：sensor fusion(title,abstract)；分类 cs.RO

Journal ref Control Engineering Practice, Volume 165, December 2025, 106592

A Bimanual Gesture Interface for ROS-Based Mobile Manipulators Using TinyML and Sensor Fusion

Najeeb Ahmed Bhuiyan, M. Nasimul Huq, Sakib H. Chowdhury, Rahul Mangharam

机构 * †‡Department of Mechatronics Engineering, Rajshahi University of Engineering \& Technology, Kazla, Rajshahi-6204, Bangladesh §Department of Electrical \& Systems Engineering, School of Engineering \& Applied Science, University of Pennsylvania, Philadelphia, PA 19104, United States Email: , †, ‡, § 纠错

专题命中 机器人多传感器融合 ：sensor fusion(title,abstract)；分类 cs.RO

Comments 12 pages, 11 figures

Unmanned Aerial Vehicle (UAV) Data-Driven Modeling Software with Integrated 9-Axis IMUGPS Sensor Fusion and Data Filtering Algorithm

Azfar Azdi Arfakhsyad, Aufa Nasywa Rahman, Larasati Kinanti, Ahmad Ataka Awwalur Rizqi, Hannan Nur Muhammad

专题命中 机器人多传感器融合 ：sensor fusion(title,abstract)；分类 cs.RO

Comments 7 pages, 13 figures. Accepted to IEEE ICITEE 2023

Imitation Learning for Obstacle Avoidance Using End-to-End CNN-Based Sensor Fusion

Lamiaa H. Zain, Hossam H. Ammar, Raafat E. Shalaby

机构 * School of Engineering（工程学院） ； Applied Science Nile University（应用科学尼罗大学） ； Computer Science University of Hertfordshire（计算机科学赫尔德福德郡大学） 纠错

专题命中 机器人多传感器融合 ：sensor fusion(title,abstract)；分类 cs.RO

Multimodal Fusion SLAM with Fourier Attention

Youjie Zhou, Guofeng Mei, Yiming Wang, Yi Wan, Fabio Poiesi

机构 * School of Mechanical Engineering, Shandong University（机械工程学院，山东大学） ； Fondazione Bruno Kessler（布鲁诺·凯斯勒基金会） 纠错

专题命中 机器人多传感器融合 ：multimodal fusion(title,abstract)；分类 cs.CV

Comments Accepted in IEEE RAL

Learning-Based Leader Localization for Underwater Vehicles With Optical-Acoustic-Pressure Sensor Fusion

Mingyang Yang, Zeyu Sha, Feitian Zhang

机构 * Department of Advanced Manufacturing and Robotics, College of Engineering, and the State Key Laboratory of Turbulence and Complex Systems（先进制造与机器人系，工程学院，湍流与复杂系统国家重点实验室） 纠错

专题命中 机器人多传感器融合 ：sensor fusion(title,abstract)；分类 cs.RO

HTMNet: A Hybrid Network with Transformer-Mamba Bottleneck Multimodal Fusion for Transparent and Reflective Objects Depth Completion

Guanghu Xie, Yonglong Zhang, Zhiduo Jiang, Yang Liu, Zongwu Xie, Baoshi Cao, Hong Liu

机构 * State Key Laboratory of Robotics and Systems, Harbin Institute of Technology（机器人系统国家重点实验室，哈尔滨工业大学） 纠错

专题命中 机器人多传感器融合 ：multimodal fusion(title,abstract)；分类 cs.CV

MultiSensor-Home: A Wide-area Multi-modal Multi-view Dataset for Action Recognition and Transformer-based Sensor Fusion

Trung Thanh Nguyen, Yasutomo Kawanishi, Vijay John, Takahiro Komamizu, Ichiro Ide

机构 * Graduate School of Informatics, Nagoya University（名古屋大学信息学研究科） ； Guardian Robot Project, Information R&D and Strategy Headquarters, RIKEN（RIKEN信息研发与战略总部Guardian机器人项目） ； Center for Artificial Intelligence, Mathematical and Data Science, Nagoya University（名古屋大学人工智能中心，数学与数据科学） 纠错

专题命中 机器人多传感器融合 ：sensor fusion(title,abstract)；分类 cs.CV

Comments The 19th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2025)

MultiTSF: Transformer-based Sensor Fusion for Human-Centric Multi-view and Multi-modal Action Recognition

Trung Thanh Nguyen, Yasutomo Kawanishi, Vijay John, Takahiro Komamizu, Ichiro Ide

专题命中 机器人多传感器融合 ：sensor fusion(title,abstract)；分类 cs.CV

Comments This is a part of article arXiv:2504.02287

Resilient Sensor Fusion under Adverse Sensor Failures via Multi-Modal Expert Fusion

Konyul Park, Yecheol Kim, Daehun Kim, Jun Won Choi

专题命中 机器人多传感器融合 ：sensor fusion(title,abstract)；分类 cs.CV

Comments Accepted to CVPR 2025

UKF-Based Sensor Fusion for Joint-Torque Sensorless Humanoid Robots

Ines Sorrentino, Giulio Romualdi, Daniele Pucci

专题命中 机器人多传感器融合 ：sensor fusion(title,abstract)；分类 cs.RO

Journal ref 2024 IEEE International Conference on Robotics and Automation (ICRA)

High-Speed Dynamic 3D Imaging with Sensor Fusion Splatting

Zihao Zou, Ziyuan Qu, Xi Peng, Vivek Boominathan, Adithya Pediredla, Praneeth Chakravarthula

专题命中 机器人多传感器融合 ：sensor fusion(title,abstract)；分类 cs.CV

Multi-modal Sensor Fusion for Auto Driving Perception: A Survey

Keli Huang, Botian Shi, Xiang Li, Xin Li, Siyuan Huang, Yikang Li

专题命中 机器人多传感器融合 ：sensor fusion(title)；multi-modal fusion(abstract)；分类 cs.CV

Comments 14 pages, 8 figures

Event-based Sensor Fusion and Application on Odometry: A Survey

Jiaqiang Zhang, Xianjia Yu, Ha Sier, Haizhou Zhang, Tomi Westerlund

专题命中 机器人多传感器融合 ：sensor fusion(title,abstract)；分类 cs.CV

Comments Accepted by IPAS2025

MetaGraphLoc: A Graph-based Meta-learning Scheme for Indoor Localization via Sensor Fusion

Yaya Etiabi, Eslam Eldeeb, Mohammad Shehab, Wafa Njima, Hirley Alves, Mohamed-Slim Alouini, El Mehdi Amhoud

专题命中 机器人多传感器融合 ：sensor fusion(title,abstract)；分类 eess.SP

SMART-TRACK: A Novel Kalman Filter-Guided Sensor Fusion For Robust UAV Object Tracking in Dynamic Environments

Khaled Gabr, Mohamed Abdelkader, Imen Jarraya, Abdullah AlMusalami, Anis Koubaa

专题命中 机器人多传感器融合 ：sensor fusion(title,abstract)；分类 cs.RO

Comments 12 pages, 7 figures, 3 algorithms, 2 tables

Bi-capacity Choquet Integral for Sensor Fusion with Label Uncertainty

Hersh Vakharia, Xiaoxiao Du

专题命中 机器人多传感器融合 ：sensor fusion(title,abstract)；分类 cs.CV

Comments 10 pages, 7 figures, 7 tables; Accepted to 2024 FUZZ-IEEE and presented at 2024 IEEE WCCI; Code available at https://github.com/hvak/Bi-MIChI

AI-Enabled sensor fusion of time of flight imaging and mmwave for concealed metal detection

Chaitanya Kaul, Kevin J. Mitchell, Khaled Kassem, Athanasios Tragakis, Valentin Kapitany, Ilya Starshynov, Federica Villa, Roderick Murray-Smith, Daniele Faccio

专题命中 机器人多传感器融合 ：sensor fusion(title,abstract)；分类 eess.IV

Semi-Autonomous Laparoscopic Robot Docking with Learned Hand-Eye Information Fusion

Huanyu Tian, Martin Huber, Christopher E. Mower, Zhe Han, Changsheng Li, Xingguang Duan, Christos Bergeles

专题命中 机器人多传感器融合 ：information fusion(title,abstract)；分类 cs.RO

Cognitive TransFuser: Semantics-guided Transformer-based Sensor Fusion for Improved Waypoint Prediction

Hwan-Soo Choi, Jongoh Jeong, Young Hoo Cho, Kuk-Jin Yoon, Jong-Hwan Kim

专题命中 机器人多传感器融合 ：sensor fusion(title,abstract)；分类 cs.RO

Comments Accepted to RiTA 2023

A Multi-Agent Security Testbed for the Analysis of Attacks and Defenses in Collaborative Sensor Fusion

R. Spencer Hallyburton, David Hunt, Shaocheng Luo, Miroslav Pajic

专题命中 机器人多传感器融合 ：sensor fusion(title,abstract)；分类 cs.RO

Range-Visual-Inertial Sensor Fusion for Micro Aerial Vehicle Localization and Navigation

Abhishek Goudar, Wenda Zhao, Angela P. Schoellig

专题命中 机器人多传感器融合 ：sensor fusion(title,abstract)；分类 cs.RO