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BAN: A Universal Paradigm for Cross-Scene Classification Under Noisy Annotations From RGB and Hyperspectral Remote Sensing Images

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IEEE Transactions on Geoscience and Remote Sensing 2025年 63卷

作者： Chen, Wentang Wen, Yibin Zheng, Juepeng Huang, Jianxi Fu, Haohuan Sun Yat-sen University School of Artificial Intelligence Zhuhai519082 China Zhejiang University State Key Laboratory of Fluid Power and Mechatronic Systems Engineering Research Center for Design Engineering and Digital Twin of Zhejiang Province School of Mechanical Engineering Robotics Institute Hangzhou310027 China Southwest Jiaotong University Faculty of Geosciences and Engineering Chengdu610032 China China Agricultural University College of Land Science and Technology Beijing100107 China Ministry of Agriculture and Rural Affairs Key Laboratory of Remote Sensing for Agri-Hazards Beijing100125 China Tsinghua University Tsinghua Shenzhen International Graduate School Shenzhen518071 China Tsinghua University Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System Science Beijing100190 China National Supercomputer Center in Shenzhen Shenzhen518071 China

While domain adaptation (DA) methods have made significant strides in remote sensing community, most current works assume that the source domain labels are accurate. However, limited emphasis has been placed on the scenario where source data are mislabeled with noisy annotations, which is more common in real applications and referred to as noisy DA (NDA). This article formulates remote sensing cross-scene classification on NDA scenarios and proposes a novel network called bilateral adaptation network (BAN), which consists of two parts: 1) forward learning (FL), which utilizes a model learning from the noisy source domain and transfers knowledge to target domain;and 2) backward learning (BL), which utilizes a dual model to acquire knowledge from the target domain and transfer it to source domain. We conduct two parts alternately and adopt a symmetrical Kullback-Leibler (KL) loss to align predictions of the model and its dual model in the same domain. This interactive strategy is able to explore bilateral relationships between domains, implicitly reducing label noise in the source domain. In addition, BAN could serve as a universal paradigm to not only improve the existing NDA methods but also enhance recent DA approaches. Comprehensive evaluations on three publicly available RGB-band remote sensing datasets and two hyperspectral datasets validate the superior effectiveness of our proposed BAN. BAN improves the average accuracy by 6.70%-15.70% on RGB datasets and overall accuracy (OA) by 1.36%-3.14% on hyperspectral datasets with flip-20% noise compared to other state-of-the-art DA and NDA approaches. Promising results indicate the potential of our approach in tackling more general and practical problems with noisy source domain. © 2025 IEEE.

关键词： Contrastive Learning

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CONTROL OF SWITCHED RELUCTANCE MOTOR TORQUE FOR FORCE CONTROL APPLICATIONS

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IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 1994年第4期41卷 461-466页

作者： GOLDENBERG, AA LANIADO, I KUZAN, P ZHOU, C Robotics and Automation Laboratory Department of Mechanical Engineering University of Toronto Toronto ON Canada RAFAEL Advanced Defense Systems Limited Haifa Israel Robotics and Automation Laboratory University of Toronto Canada

The paper presents a method for controlling Switched Reluctance Motor (SRM)'s torque for force control applications. SRM's are used in AdeptOne robots, and we perform experiments with two robots, controlled in coordination, in grasping and manipulation of various objects. The object and robot parameters are not exactly known, and adaptive methods are used to control the overall system. These methods are model-based control techniques which require high bandwidth torque control. This requirement is typical for high precision mechanisms. SRM's characteristics are very nonlinear. In particular the torque ripple, friction, and the torque versus position and current relationships were analyzed in the context above-mentioned, and specifically, for force control applications. The proposed method is based on a new commutation algorithm and a measured torque versus position and current relationship, used to smoothen the SRM's torque ripple, hence generating a torque output nearly independent of position. Furthermore, the internal friction is estimated on-line, and compensated for. This renders a high accuracy torque tracking. The torque control method is based on feedback from the motor angular velocity, motor angle, armature current, and feedforward for friction compensation and cancellation of nonlinear effects. The method has been tested experimentally on Adept motors and the results were very encouraging. The method has been also used for adaptive control of two coordinated Adept robots.

关键词： Force control Torque control Reluctance motors Reluctance machines Robot kinematics Friction Adaptive control Robot control Programmable control Control systems

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Exploring Nanoscale Perovskite Materials for Next‑Generation Photodetectors:A Comprehensive Review and Future Directions

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Nano-Micro Letters 2025年第2期17卷 46-108页

作者： Xin Li Sikandar Aftab Maria Mukhtar Fahmid Kabir Muhammad Farooq Khan Hosameldin Helmy Hegazy Erdi Akman State Key Laboratory of Pulsed Power Laser Technology National University of Defense TechnologyHefei 230037AnhuiPeople’s Republic of China Anhui Laboratory of Advanced Laser Technology Hefei 230037AnhuiPeople’s Republic of China Nanhu Laser Laboratory Changsha 410015HunanPeople’s Republic of China Department of Semiconductor Systems Engineering and Clean Energy Sejong UniversitySeoul 05006Republic of Korea Department of Artificial Intelligence and Robotics Sejong UniversitySeoul 05006Republic of Korea School of Engineering Science Simon Fraser UniversityBurnabyBC V5A 1S6Canada Department of Electrical Engineering Sejong UniversitySeoul 05006South Korea Department of Physics Faculty of ScienceKing Khalid UniversityP.O.Box 9004AbhaSaudi Arabia Central Labs King Khalid UniversityAlQura’aP.O.Box 96061413 AbhaSaudi Arabia Scientific and Technological Research and Application Center Karamanoglu Mehmetbey University70100 KaramanTurkey

The rapid advancement of nanotechnology has sparked much interest in applying nanoscale perovskite materials for photodetection *** materials are promising candidates for next-generation photodetectors(PDs)due to their unique optoelectronic properties and flexible synthesis *** review explores the approaches used in the development and use of optoelectronic devices made of different nanoscale perovskite architectures,including quantum dots,nanosheets,nanorods,nanowires,and *** a thorough analysis of recent literature,the review also addresses common issues like the mechanisms underlying the degradation of perovskite PDs and offers perspectives on potential solutions to improve stability and scalability that impede widespread *** addition,it highlights that photodetection encompasses the detection of light fields in dimensions other than light intensity and suggests potential avenues for future research to overcome these obstacles and fully realize the potential of nanoscale perovskite materials in state-of-the-art photodetection *** review provides a comprehensive overview of nanoscale perovskite PDs and guides future research efforts towards improved performance and wider applicability,making it a valuable resource for researchers.

关键词： Nanoscale perovskites Photodetectors Nanosheets Nanorods Nanowires Quantum dots Nanocrystals

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Minimum-weight design of flexible arms for specified fundamental frequency

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JOURNAL OF ROBOTIC systems 1997年第1期14卷 49-57页

作者： Wang, FY Russell, JL Liu, Z Robotics and Automation Laboratory Department of Systems and Industrial Engineering The University of Arizona Tucson Arizona 85721 SINOPEC USA Inc. New York NY 10048 [*]Robotics and Automation Laboratory Department of Systems and Industrial Engineering The University of Arizona Tucson Arizona 85721

The problem of designing a minimum-weight one-link flexible arm for a specified fundamental frequency of vibration has been investigated. The optimum design problem is formulated as a nonlinear eigenvalue problem using the variational method. Two iteration schemes are developed to find the optimum solution in the normal and degenerated cases. Numerical results have indicated that a significant reduction in link weight can be achieved by the proposed method. For example, for a geometrically similar cross section and a specified fundamental frequency ranging from 1 Hz to 10 Hz, the weight of an optimum link is 400% to 600% lighter than that of an uniform link. (C) 1997 John Wiley & Sons, Inc.

关键词： Robotic arms

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ST-Booster: An Iterative SpatioTemporal Perception Booster for Vision-and-Language Navigation in Continuous Environments

arXiv

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arXiv 2025年

作者： Yue, Lu Zhou, Dongliang Xie, Liang Yin, Erwei Zhang, Feitian Department of Advanced Manufacturing and Robotics the State Key Laboratory of Turbulence and Complex Systems College of Engineering Peking University Beijing100871 China Defense Innovation Institute Academy of Military Sciences Beijing100071 China Tianjin Artificial Intelligence Innovation Center Tianjin300450 China Department of Computer Science Harbin Institute of Technology Shenzhen Xili University Town Shenzhen518055 China

Vision-and-Language Navigation in Continuous Environments (VLN-CE) requires agents to navigate unknown, continuous spaces based on natural language instructions. Compared to discrete settings, VLN-CE poses two core perception challenges. First, the absence of predefined observation points leads to heterogeneous visual memories and weakened global spatial correlations. Second, cumulative reconstruction errors in three-dimensional scenes introduce structural noise, impairing local feature perception. To address these challenges, this paper proposes ST-Booster, an iterative spatiotemporal booster that enhances navigation performance through multi-granularity perception and instruction-aware reasoning. ST-Booster consists of three key modules — Hierarchical SpatioTemporal Encoding (HSTE), Multi-Granularity Aligned Fusion (MGAF), and Value-Guided Waypoint Generation (VGWG). HSTE encodes long-term global memory using topological graphs and captures short-term local details via grid maps. MGAF aligns these dual-map representations with instructions through geometry-aware knowledge fusion. The resulting representations are iteratively refined through pretraining tasks. During reasoning, VGWG generates Guided Attention Heatmaps (GAHs) to explicitly model environment-instruction relevance and optimize waypoint selection. Extensive comparative experiments and performance analyses are conducted, demonstrating that ST-Booster outperforms existing state-of-the-art methods, particularly in complex, disturbance-prone environments. Copyright © 2025, The Authors. All rights reserved.

关键词： Topology

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Adaptive-LIO: Enhancing Robustness and Precision through Environmental Adaptation in LiDAR Inertial Odometry

arXiv

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arXiv 2025年

作者： Zhao, Chengwei Hu, Kun Xu, Jie Zhao, Lijun Han, Baiwen Wu, Kaidi Tian, Maoshan Yuan, Shenghai The State Key Laboratory of Robotics and Systems Harbin Institute of Technology HeiLongJiang Harbin150001 China Hangzhou Qisheng Intelligent Techology Co. Ltd. 4083 Jianshe Fourth Road Zhejiang Hangzhou311217 China The School of Mechatronic Engineering China University of Mining and Technology JiangSu Xuzhou221116 China The School of Mechanical and Electrical Engineering University of Electronic Science And Technology Sichuan Chengdu611731 China The School of Electrical and Electronic Engineering Nanyang Technological University 50 Nanyang Avenue 639798 Singapore

The emerging Internet of Things (IoT) applications, such as driverless cars, have a growing demand for high-precision positioning and navigation. Nowadays, LiDAR inertial odometry becomes increasingly prevalent in robotics and autonomous driving. However, many current SLAM systems lack sufficient adaptability to various scenarios. Challenges include decreased point cloud accuracy with longer frame intervals under the constant velocity assumption, coupling of erroneous IMU information when IMU saturation occurs, and decreased localization accuracy due to the use of fixed-resolution maps during indoor-outdoor scene transitions. To address these issues, we propose a loosely coupled adaptive LiDAR-Inertial-Odometry named Adaptive-LIO, which incorporates adaptive segmentation to enhance mapping accuracy, adapts motion modality through IMU saturation and fault detection, and adjusts map resolution adaptively using multi-resolution voxel maps based on the distance from the LiDAR center. Our proposed method has been tested in various challenging scenarios, demonstrating the effectiveness of the improvements we introduce. The code is open-source on GitHub: Adaptive-LIO. © 2025, CC BY.

关键词： SLAM robotics

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Fuzzy behavior integration and action fusion for robotic excavation

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IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 1996年第3期43卷 395-402页

作者： Shi, XB Lever, PJA Wang, FY Advanced Mining Systems Laboratory and the Robotics and Automation Laboratory University of Arizona Tucson Tucson AZ USA Department of Mining and Geological Engineering University of Arizona Tucson Tucson AZ USA Robotics and Automation Laboratory and the Department of Systems and Industrial Engineering University of Arizona Tucson Tucson AZ USA

This paper discusses control behavior integration and bucket action fusion for excavation control of a robotic front-end-loader type machine, To utilize the experience and expertise from skilled human operators, a fuzzy-logic based control approach is developed, A hierarchical excavation control architecture decomposes excavation goals to tasks, then tasks to behaviors, and finally behaviors to actions, The excavation actions are primitive and can be executed directly by an excavation machine, Finite state machines are used to specify the coordination and integration of behaviors for task execution and actions for behavior implementation, A simple strategy for action fusion is proposed based on fuzzy logic reasoning and the COA defuzzification method. Finally, laboratory experiments are conducted using a PUMA 560 robot arm and a Zebra force/torque sensor in a simulated rock excavation environment. Experimental results indicate that the proposed approach in this paper has led to more efficient task execution than our previous approach.

关键词： Robot kinematics Humans Laboratories robotics and automation Automatic control Robot sensing systems Geology Control system synthesis Fuzzy control Robot control

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Multi-agent Gaussian Process Motion Planning via Probabilistic Inference

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IFAC-PapersOnLine 2018年第22期51卷 160-165页

作者： Petrovi, Luka Markovi, Ivan Seder, Marija University of Zagreb Faculty of Electrical Engineering and Computing Laboratory for Autonomous Systems and Mobile Robotics Croatia

This paper deals with motion planning for multiple agents by representing the problem as a simultaneous optimization of every agent's trajectory. Each trajectory is considered as a sample from a one-dimensional continuous-time Gaussian process (GP) generated by a linear time-varying stochastic differential equation driven by white noise. By formulating the planning problem as probabilistic inference on a factor graph, the structure of the pertaining GP can be exploited to find the solution efficiently using numerical optimization. In contrast to planning each agent's trajectory individually, where only the current poses of other agents are taken into account, we propose simultaneous planning of multiple trajectories that works in a predictive manner. It takes into account the information about each agent's whereabouts at every future time instant, since full trajectories of each agent are found jointly during a single optimization procedure. We compare the proposed method to an individual trajectory planning approach, demonstrating significant improvement in both success rate and computational efficiency. © 2018

关键词： Motion planning Computational efficiency Continuous time systems Differential equations Gaussian distribution Gaussian noise (electronic) Multi agent systems One dimensional Optimization Stochastic systems Trajectories White noise Factor graphs Numerical optimizations Optimization procedures Probabilistic inference Simultaneous optimization Stochastic differential equations Trajectory optimization Trajectory Planning

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Kinematic modeling and analysis of novel eight-wheel lunar rover

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Journal of Harbin Institute of Technology(New Series) 2009年第6期16卷 751-755页

作者：高海波张朋邓宗全胡明 State Key Laboratory of Robotics and Systems School of Mechatronic Engineering Harbin Institute of Technology

A new kind of eight-wheel lunar rover is developed, which is a complex closed-chain system and has good capabilities of climbing slope, surmounting obstacles and adapting to uneven terrain. In this paper, the mechanical structure of the novel eight-wheel lunar rover is introduced, forward and inverse kinematic models of the rover are established according to the closed-chain coordinate transformation and instantaneous coincidence coordinate. Based on structural characteristics, its kinetic characteristics are analyzed. Wheel slippages are separated and calculated, and a method for closed-loop control modification using wheel slip estimation during the model establishment is proposed. The results can be applied to the motion control of lunar rover.

关键词： kinematic modeling locomotion system eight-wheel lunar rover lunar rover

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Corretions to “An Automatic Navigation Framework for Magnetic Fish-Like Millirobot in Uncertain Dynamic Environments”

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IEEE robotics and Automation Letters 2025年第4期10卷 3875-3875页

作者： Chenyao Tian Xinjian Fan Jingzhi Jia Zhan Yang Hui Xie State Key Laboratory of Robotics and Systems Harbin Institute of Technology Harbin China School of Mechanical and Electrical Engineering Soochow University Suzhou China

The first author's name was misspelled as “Chengyao Tian” in [1], containing an extraneous “g”. The correct spelling is “Chenyao Tian”.

关键词： Navigation

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