IEEE Robotics and Automation Letters最新文献

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Enhancing Reusability of Learned Skills for Robot Manipulation via Gaze Information and Motion Bottlenecks 通过注视信息和运动瓶颈增强机器人操作学习技能的可重用性
IF 5.3 2区 计算机科学
IEEE Robotics and Automation Letters Pub Date : 2025-09-04 DOI: 10.1109/LRA.2025.3606390
Ryo Takizawa;Izumi Karino;Koki Nakagawa;Yoshiyuki Ohmura;Yasuo Kuniyoshi
{"title":"Enhancing Reusability of Learned Skills for Robot Manipulation via Gaze Information and Motion Bottlenecks","authors":"Ryo Takizawa;Izumi Karino;Koki Nakagawa;Yoshiyuki Ohmura;Yasuo Kuniyoshi","doi":"10.1109/LRA.2025.3606390","DOIUrl":"https://doi.org/10.1109/LRA.2025.3606390","url":null,"abstract":"Autonomous agents capable of diverse object manipulations should be able to acquire a wide range of manipulation skills with high reusability. Although advances in deep learning have made it increasingly feasible to replicate the dexterity of human teleoperation in robots, generalizing these acquired skills to previously unseen scenarios remains a significant challenge. In this study, we propose a novel algorithm, Gaze-based Bottleneck-aware Robot Manipulation (GazeBot), which enables high reusability of learned motions without sacrificing dexterity or reactivity. By leveraging gaze information and motion bottlenecks—both crucial features for object manipulation—GazeBot achieves high success rates compared with state-of-the-art imitation learning methods, particularly when the object positions and end-effector poses differ from those in the provided demonstrations. Furthermore, the training process of GazeBot is entirely data-driven once a demonstration dataset with gaze data is provided.","PeriodicalId":13241,"journal":{"name":"IEEE Robotics and Automation Letters","volume":"10 10","pages":"10737-10744"},"PeriodicalIF":5.3,"publicationDate":"2025-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145050852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Multimodal Dual-Segment Soft Robot With Ground-to-Ceiling Transition 具有从地到顶过渡的多模态双分段软机器人
IF 5.3 2区 计算机科学
IEEE Robotics and Automation Letters Pub Date : 2025-09-02 DOI: 10.1109/LRA.2025.3605092
Ruiyong Yuan;Kai Huang;Chengxiao Ying;Yanmiao Hu;Zihao Yuan;Feifei Chen
{"title":"A Multimodal Dual-Segment Soft Robot With Ground-to-Ceiling Transition","authors":"Ruiyong Yuan;Kai Huang;Chengxiao Ying;Yanmiao Hu;Zihao Yuan;Feifei Chen","doi":"10.1109/LRA.2025.3605092","DOIUrl":"https://doi.org/10.1109/LRA.2025.3605092","url":null,"abstract":"Although various soft robots with remarkable mobility have been developed, enabling a single robot to achieve multi-terrain locomotion with transitions across ground, vertical walls, and ceilings remains a formidable challenge. This letter presents a multimodal dual-segment soft robot capable of omnidirectional terrestrial locomotion, vertical climbing and ceiling crawling, and smooth inter-surface transitioning. The robot's wall and ceiling locomotion ability is realized through improved segment design featuring lightweight construction, enhanced deformability and load capacity, whereas its transitional capability is facilitated by coordinated dual-segmental gaits and compensation of gravity-induced deformation. Through cross-sectional improvement, the redesigned segment demonstrates enhanced bending capability with a maximum bending angle exceeding 180<inline-formula><tex-math>$^{circ }$</tex-math></inline-formula>, achieving a 105% workspace expansion compared to the baseline design. Experimental characterization reveals performance metrics of the robot: a maximum terrestrial velocity of 33.2 mm/s, angular turning rate of 30<inline-formula><tex-math>$^{circ }$</tex-math></inline-formula>/s, and transition capability while carrying 50 g payload. Furthermore, we demonstrate the robot's practical utility by integrating an onboard camera to successfully execute multi-surface inspection tasks in confined space and aircraft wing cavity, validating its potential for deployment in real-world unstructured environments.","PeriodicalId":13241,"journal":{"name":"IEEE Robotics and Automation Letters","volume":"10 10","pages":"10729-10736"},"PeriodicalIF":5.3,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145050814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Minimum-Length Coverage Path Planning for Grid Environments With Approximation Guarantees 具有近似保证的网格环境的最小长度覆盖路径规划
IF 5.3 2区 计算机科学
IEEE Robotics and Automation Letters Pub Date : 2025-09-02 DOI: 10.1109/LRA.2025.3604732
Megnath Ramesh;Frank Imeson;Baris Fidan;Stephen L. Smith
{"title":"Minimum-Length Coverage Path Planning for Grid Environments With Approximation Guarantees","authors":"Megnath Ramesh;Frank Imeson;Baris Fidan;Stephen L. Smith","doi":"10.1109/LRA.2025.3604732","DOIUrl":"https://doi.org/10.1109/LRA.2025.3604732","url":null,"abstract":"We focus on planning minimum-length robot paths to cover environments using the robot's sensor or coverage (e.g., cleaning) tool. Many algorithms use the following framework: (i) compute a grid decomposition of the environment, (ii) partition the grid to be covered by non-overlapping <italic>coverage lines</i> (straight-line paths), and (iii) compute a cost-minimizing tour of the coverage lines to get a coverage path. While this framework aims to minimize turns in the path, it does not yield guarantees on the resulting path length. In this letter, we show that this framework guarantees a coverage path of length <inline-formula><tex-math>$(1 + 1.5gamma)$</tex-math></inline-formula> times the optimal, where <inline-formula><tex-math>$gamma &gt; 1$</tex-math></inline-formula> is the approximation factor to solve the metric traveling salesman problem (metric-TSP). Following this, we propose the Minimum Length Coverage Approx (MLC-Approx) approach that modifies this framework to achieve an approximation factor of <inline-formula><tex-math>$(1.5 + epsilon)$</tex-math></inline-formula>, where <inline-formula><tex-math>$epsilon ll 1$</tex-math></inline-formula> depends on the number of coverage lines. Instead of computing a tour of the coverage lines, MLC-Approx merges minimum-length <italic>sub-tours</i> of coverage lines while minimizing the turns added by the merges. We also propose a lazy variation of MLC-Approx that achieves the same result with faster empirical runtime. We validate MLC-Approx in simulations using maps of real-world environments and compare against state-of-the-art CPP approaches.","PeriodicalId":13241,"journal":{"name":"IEEE Robotics and Automation Letters","volume":"10 10","pages":"10674-10681"},"PeriodicalIF":5.3,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145051018","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Active Learning Design: Modeling Force Output for Axisymmetric Soft Pneumatic Actuators 主动学习设计:轴对称软气动执行器的力输出建模
IF 5.3 2区 计算机科学
IEEE Robotics and Automation Letters Pub Date : 2025-09-02 DOI: 10.1109/LRA.2025.3605089
Gregory M. Campbell;Gentian Muhaxheri;Leonardo Ferreira Guilhoto;Christian D. Santangelo;Paris Perdikaris;James Pikul;Mark Yim
{"title":"Active Learning Design: Modeling Force Output for Axisymmetric Soft Pneumatic Actuators","authors":"Gregory M. Campbell;Gentian Muhaxheri;Leonardo Ferreira Guilhoto;Christian D. Santangelo;Paris Perdikaris;James Pikul;Mark Yim","doi":"10.1109/LRA.2025.3605089","DOIUrl":"https://doi.org/10.1109/LRA.2025.3605089","url":null,"abstract":"Soft pneumatic actuators (SPA) made from elastomeric materials can provide large strain and large force. The behavior of locally strain-restricted hyperelastic materials under inflation has been investigated thoroughly for shape reconfiguration, but requires further investigation for trajectories involving external force. In this work we model force-pressure-height relationships for a concentrically strain-limited class of soft pneumatic actuators and demonstrate the use of this model to design SPA response for object lifting. We predict relationships under different loadings by solving energy minimization equations and verify this theory by using an automated test rig to collect rich data for n = 22 Ecoflex 00-30 membranes. We collect data using an active learning pipeline to efficiently model the design space. We show that this learned model outperforms the theory-based model and a naive regression. We use our model to optimize membrane design for different lift tasks and compare this performance to other designs. These contributions represent a step towards understanding the natural response for this class of actuator and embodying intelligent lifts in a single-pressure input actuator system.","PeriodicalId":13241,"journal":{"name":"IEEE Robotics and Automation Letters","volume":"10 10","pages":"10838-10845"},"PeriodicalIF":5.3,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145036789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
RESPLE: Recursive Spline Estimation for LiDAR-Based Odometry 基于激光雷达测程的递归样条估计
IF 5.3 2区 计算机科学
IEEE Robotics and Automation Letters Pub Date : 2025-09-02 DOI: 10.1109/LRA.2025.3604758
Ziyu Cao;William Talbot;Kailai Li
{"title":"RESPLE: Recursive Spline Estimation for LiDAR-Based Odometry","authors":"Ziyu Cao;William Talbot;Kailai Li","doi":"10.1109/LRA.2025.3604758","DOIUrl":"https://doi.org/10.1109/LRA.2025.3604758","url":null,"abstract":"We present a novel recursive Bayesian estimation framework using B-splines for continuous-time 6-DoF dynamic motion estimation. The state vector consists of a recurrent set of position control points and orientation control point increments, enabling efficient estimation via a modified iterated extended Kalman filter without involving error-state formulations. The resulting recursive spline estimator (RESPLE) is further leveraged to develop a versatile suite of direct LiDAR-based odometry solutions, supporting the integration of one or multiple LiDARs and an IMU. We conduct extensive real-world evaluations using public datasets and our own experiments, covering diverse sensor setups, platforms, and environments. Compared to existing systems, RESPLE achieves comparable or superior estimation accuracy and robustness, while attaining real-time efficiency. Our results and analysis demonstrate RESPLE's strength in handling highly dynamic motions and complex scenes within a lightweight and flexible design, showing strong potential as a universal framework for multi-sensor motion estimation.","PeriodicalId":13241,"journal":{"name":"IEEE Robotics and Automation Letters","volume":"10 10","pages":"10666-10673"},"PeriodicalIF":5.3,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145051070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Optimal Design of Integrated Aerial Platforms With Passive Joints 带被动接头的综合航空平台优化设计
IF 5.3 2区 计算机科学
IEEE Robotics and Automation Letters Pub Date : 2025-09-02 DOI: 10.1109/LRA.2025.3604735
Yushu Yu;Kaidi Wang;Xin Meng;Jianrui Du;Jiali Sun;Ganghua Lai;Yibo Zhang
{"title":"Optimal Design of Integrated Aerial Platforms With Passive Joints","authors":"Yushu Yu;Kaidi Wang;Xin Meng;Jianrui Du;Jiali Sun;Ganghua Lai;Yibo Zhang","doi":"10.1109/LRA.2025.3604735","DOIUrl":"https://doi.org/10.1109/LRA.2025.3604735","url":null,"abstract":"The Integrated Aerial Platform (IAP) uses multiple quadrotor sub-vehicles, acting as independent thrust generators, connected to a central platform via passive joints. This setup allows the sub-vehicles to collectively apply forces and torques to the central platform, achieving full six-degree-of-freedom (6-DoF) motion through coordinated thrust and posture adjustments. The IAP's modular design offers significant advantages in terms of mechanical simplicity, reconfigurability for diverse scenarios, and enhanced mission adaptability. This letter presents a comprehensive framework for IAP modeling and optimal design. We introduce a “design matrix” that encapsulates key architectural parameters, including the number of sub-vehicles, their spatial configuration, and the types of passive joints used. To improve control performance and ensure balanced wrench generation capabilities, we propose an optimized design strategy that minimizes the condition number of this design matrix. Two distinct IAP configurations were optimally designed based on two typical application scenarios. The efficacy of the proposed optimization methodology was subsequently validated through comparative analysis against unoptimized platforms. Moreover, the full actuation capability of the IAP was empirically confirmed via extensive simulations and real-world flight experiments, which also demonstrated its operational performance through direct wrench control experiment.","PeriodicalId":13241,"journal":{"name":"IEEE Robotics and Automation Letters","volume":"10 10","pages":"10538-10545"},"PeriodicalIF":5.3,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144998156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
BiFlex: A Passive Bimodal Stiffness Flexible Wrist for Manipulation in Unstructured Environments BiFlex:一种用于非结构化环境操作的被动双峰刚度柔性手腕
IF 5.3 2区 计算机科学
IEEE Robotics and Automation Letters Pub Date : 2025-09-02 DOI: 10.1109/LRA.2025.3605095
Gu-Cheol Jeong;Stefano Dalla Gasperina;Ashish D. Deshpande;Lillian Chin;Roberto Martín-Martín
{"title":"BiFlex: A Passive Bimodal Stiffness Flexible Wrist for Manipulation in Unstructured Environments","authors":"Gu-Cheol Jeong;Stefano Dalla Gasperina;Ashish D. Deshpande;Lillian Chin;Roberto Martín-Martín","doi":"10.1109/LRA.2025.3605095","DOIUrl":"https://doi.org/10.1109/LRA.2025.3605095","url":null,"abstract":"Robotic manipulation in unstructured, human-centric environments poses a dual challenge: achieving the precision need for delicate free-space operation while ensuring safety during unexpected contact events. Traditional wrists struggle to balance these demands, often relying on complex control schemes or complicated mechanical designs to mitigate potential damage from force overload. In response, we present BiFlex, a flexible robotic wrist that uses a soft buckling honeycomb structure to provide a natural bimodal stiffness response. The higher stiffness mode enables precise household object manipulation, while the lower stiffness mode provides the compliance needed to adapt to external forces. We design BiFlex to maintain a fingertip deflection of less than 1 cm while supporting loads up to 500 g and create a BiFlex wrist for many grippers, including Panda, Robotiq, and BaRiFlex. We validate BiFlex under several real-world experimental evaluations, including surface wiping, precise pick-and-place, and grasping under environmental constraints. We demonstrate that BiFlex simplifies control while maintaining precise object manipulation and enhanced safety in real-world applications.","PeriodicalId":13241,"journal":{"name":"IEEE Robotics and Automation Letters","volume":"10 10","pages":"10783-10790"},"PeriodicalIF":5.3,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145036782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Shaping Collective Behaviors in Swarm Robotics Through Probabilistic Motion Decision-Making 基于概率运动决策的群体机器人群体行为塑造
IF 5.3 2区 计算机科学
IEEE Robotics and Automation Letters Pub Date : 2025-09-02 DOI: 10.1109/LRA.2025.3604751
Zhicheng Zheng;Tao Wang;Yalun Xiang;Xiaokang Lei;Xingguang Peng
{"title":"Shaping Collective Behaviors in Swarm Robotics Through Probabilistic Motion Decision-Making","authors":"Zhicheng Zheng;Tao Wang;Yalun Xiang;Xiaokang Lei;Xingguang Peng","doi":"10.1109/LRA.2025.3604751","DOIUrl":"https://doi.org/10.1109/LRA.2025.3604751","url":null,"abstract":"Swarm robotics exhibits scalable and adaptive collective behaviors, providing an effective solution for complex tasks in real-world applications. However, reliance on velocity and global positioning information of neighbors limits the practical deployment of swarm robots. In this letter, we propose a sensorimotor-based swarm model that directly maps first-person visual perception to motion decisions through probabilistic decision-making. Based on numerical simulations, we find the emergence of flocking, milling, and swarming behaviors without explicit velocity alignment and positional interactions. In addition, we investigate the effectiveness of the proposed swarm model under non-omniscient perception. Moreover, we show that probabilistic motion decision-making enhances the resilience of group coordination under sensory noise. Finally, we achieve flocking, milling and swarming behaviors in a swarm of 50 real robots under motion noise disturbance and simulated visual constraints, highlighting the potential of the proposed swarm model in real-world tasks.","PeriodicalId":13241,"journal":{"name":"IEEE Robotics and Automation Letters","volume":"10 10","pages":"10690-10697"},"PeriodicalIF":5.3,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145051069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
CTS-PIBT: An Efficient Method for Multi-Agent Collaborative Task Sequencing and Path Finding CTS-PIBT:一种高效的多智能体协同任务排序和寻径方法
IF 5.3 2区 计算机科学
IEEE Robotics and Automation Letters Pub Date : 2025-09-02 DOI: 10.1109/LRA.2025.3604726
Junkai Jiang;Yibin Yang;Ruochen Li;Yitao Xu;Shaobing Xu;Jianqiang Wang
{"title":"CTS-PIBT: An Efficient Method for Multi-Agent Collaborative Task Sequencing and Path Finding","authors":"Junkai Jiang;Yibin Yang;Ruochen Li;Yitao Xu;Shaobing Xu;Jianqiang Wang","doi":"10.1109/LRA.2025.3604726","DOIUrl":"https://doi.org/10.1109/LRA.2025.3604726","url":null,"abstract":"The Collaborative Task Sequencing and Multi-Agent Path Finding (CTS-MAPF) problem involves planning collision-free paths for multiple agents while determining the sequence of intermediate tasks. This problem is particularly challenging due to its combinatorial complexity, as it combines both task sequencing and pathfinding. This letter introduces CTS-PIBT, a novel and efficient algorithm designed to address the CTS-MAPF problem. CTS-PIBT adopts a hierarchical framework with three key components: task sequencing, solution finding following the sequence, and a low-level search using an extended version of PIBT. This framework effectively leverages the advantages of the configuration-based approach, enabling the rapid generation of feasible solutions within a short period. To further enhance performance, we incorporate an anytime refinement mechanism and a quick task sequencing technique (called greedy insertion with 2-opt) to improve solution quality and solving efficiency. Extensive simulations demonstrate that CTS-PIBT significantly outperforms existing methods in success rate and runtime, particularly in large-scale and complex scenarios. Furthermore, physical robot experiments validate its practical applicability in real-world environments.","PeriodicalId":13241,"journal":{"name":"IEEE Robotics and Automation Letters","volume":"10 10","pages":"10626-10633"},"PeriodicalIF":5.3,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145049814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
IAE-BEV:Instance-Adaptive Enhancement for BEV-Based Multi-View 3D Object Detection IAE-BEV:基于bev的多视图三维目标检测的实例自适应增强
IF 5.3 2区 计算机科学
IEEE Robotics and Automation Letters Pub Date : 2025-09-02 DOI: 10.1109/LRA.2025.3604760
Bin Wang;Qiang Zhao;Chongben Tao;Yaoqi Sun;Chenggang Yan
{"title":"IAE-BEV:Instance-Adaptive Enhancement for BEV-Based Multi-View 3D Object Detection","authors":"Bin Wang;Qiang Zhao;Chongben Tao;Yaoqi Sun;Chenggang Yan","doi":"10.1109/LRA.2025.3604760","DOIUrl":"https://doi.org/10.1109/LRA.2025.3604760","url":null,"abstract":"Camera-based Bird's-Eye-View (BEV) representation has become a viable solution for 3D object detection in cost-effective autonomous driving. Currently, the explicit paradigm based on the lift-splat-shoot (LSS) pipeline has become one of the mainstream methods due to its efficiency and ease of deployment. However, the process of flattening the spatial representation in this pipeline mixes target features with excessive background noise. In addition, the generated BEV features are sparse due to the inherent characteristics of camera imaging. To address these limitations, we propose IAE-BEV, a novel two-stage multi-view 3D object detector that adaptively integrates instance features into BEV features, ultimately constructing a BEV representation that highlights instance information and alleviates sparsity. We also introduce the Occupancy Mask Pool, which enables instance features to interact with the 2D image plane in a more targeted and efficient manner. To further distinguish instances along the same camera ray, we design the Angle-Adaptive Self-Attention, which learns appropriate feature weights under the guidance of queries. Extensive experiments on the nuScenes dataset demonstrate the effectiveness and generalizability of our proposed framework, achieving up to +2.96% mAP improvement over state-of-the-art LSS-based baseline.","PeriodicalId":13241,"journal":{"name":"IEEE Robotics and Automation Letters","volume":"10 10","pages":"10610-10617"},"PeriodicalIF":5.3,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145050991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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