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This paper presents AeroTraj, a system that enables fast, accurate, and automated reconstruction of 3D models of large buildings using a drone-mounted LiDAR. LiDAR point clouds can be used directly to assemble 3D models if their positions…

Existing 3D multi-object tracking (MOT) methods often sacrifice efficiency and generalizability for robustness, largely relying on complex association metrics derived from multi-modal architectures and class-specific motion priors.…

Computer Vision and Pattern Recognition · Computer Science 2026-02-25 Lipeng Gu , Xuefeng Yan , Song Wang , Mingqiang Wei

3D single object tracking remains a challenging problem due to the sparsity and incompleteness of the point clouds. Existing algorithms attempt to address the challenges in two strategies. The first strategy is to learn dense geometric…

Computer Vision and Pattern Recognition · Computer Science 2023-12-19 Jingwen Zhang , Zikun Zhou , Guangming Lu , Jiandong Tian , Wenjie Pei

Polymer composite joints are critical aerospace components for reinforcing lightweight structures and achieving high eco-efficiency transportation standards. Optimizing complex structural joints is an iterative process. Fast and reliable…

Machine vision systems, which can efficiently manage extensive visual perception tasks, are becoming increasingly popular in industrial production and daily life. Due to the challenge of simultaneously obtaining accurate depth and texture…

Image and Video Processing · Electrical Eng. & Systems 2024-09-09 Chongzhen Tian , Zhengxin Li , Hui Yuan , Raouf Hamzaoui , Liquan Shen , Sam Kwong

3D animation is central to modern visual media, yet traditional production pipelines remain labor-intensive, expertise-demanding, and computationally expensive. Recent AIGC-based approaches partially automate asset creation and rigging, but…

Computer Vision and Pattern Recognition · Computer Science 2025-12-22 Yupeng Zhu , Xiongzhen Zhang , Ye Chen , Bingbing Ni

This article introduces an experimental emulation of a novel chunk-based flexible multi-DoF aerial 3D printing framework. The experimental demonstration of the overall autonomy focuses on precise motion planning and task allocation for a…

Robotics · Computer Science 2024-02-09 Marios-Nektarios Stamatopoulos , Avijit Banerjee , George Nikolakopoulos

The principal aim of this Master's thesis is to propel the optimization of the membrane wing structure of the Northeastern Aerobat through origami techniques and enhancing its capacity for secure hovering within confined spaces.…

Robotics · Computer Science 2023-09-27 Yizhe Xu

Soft robot serial chain manipulators with the capability for growth, stiffness control, and discrete joints have the potential to approach the dexterity of traditional robot arms, while improving safety, lowering cost, and providing an…

Fiber-Reinforced Polymer Composite (FRPC) parts are mostly made as laminates, shells, or surfaces wound with 2D fiber patterns even after the emergence of additive manufacturing. Making FRPC parts with embedded continuous fibers in 3D is…

Soft Condensed Matter · Physics 2025-08-12 Vivek Khatua , B. Gurumoorthy , G. K. Ananthasuresh

Digital Twin is an emerging technology at the forefront of Industry 4.0, with the ultimate goal of combining the physical space and the virtual space. To date, the Digital Twin concept has been applied in many engineering fields, providing…

Computer Vision and Pattern Recognition · Computer Science 2021-06-08 Alex To , Maican Liu , Muhammad Hazeeq Bin Muhammad Hairul , Joseph G. Davis , Jeannie S. A. Lee , Henrik Hesse , Hoang D. Nguyen

Cargo drones are designed to carry payloads with predefined shape, size, and/or mass. This lack of flexibility requires a fleet of diverse drones tailored to specific cargo dimensions. Here we propose a new reconfigurable drone based on a…

Lightweight inference is critical for biomolecular structure prediction and downstream tasks, enabling efficient real-world deployment and inference-time scaling for large-scale applications. While AF3 and its variants (e.g., Protenix,…

Quantitative Methods · Quantitative Biology 2025-10-17 Bo Qiang , Chengyue Gong , Xinshi Chen , Yuxuan Zhang , Wenzhi Xiao

3D printing using robots has garnered significant interest in manufacturing and construction in recent years. A robot's versatility paired with the design freedom of 3D printing offers promising opportunities for how parts and structures…

Robotics · Computer Science 2021-08-03 Alexander Nettekoven , Ufuk Topcu

The stringent requirements for low-latency and privacy of the emerging high-stake applications with intelligent devices such as drones and smart vehicles make the cloud computing inapplicable in these scenarios. Instead, edge machine…

Machine Learning · Computer Science 2019-02-19 Kai Yang , Tao Jiang , Yuanming Shi , Zhi Ding

Lattice structures and thin-walled tubes are two types of energy-absorbers widely studied and applied in engineering practice. In this study, a new type of lattice-structure filled thin-walled tube (LFT) was proposed. In this new type of…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-10-05 Jiyuan Lv , Zhonghao Bai , Xianping Du , Feng Zhu , Clifford C. Chou , Binhui Jiang , Shiwei Xu

Soft robots achieve functionality through tight coupling among geometry, material composition, and actuation. As a result, effective design optimization requires these three aspects to be considered jointly rather than in isolation. This…

Robotics · Computer Science 2026-03-09 Vittorio Candiello , Manuel Mekkattu , Mike Y. Michelis , Robert K. Katzschmann

This work presents an actuation framework for a bioinspired flapping drone called Aerobat. This drone, capable of producing dynamically versatile wing conformations, possesses 14 body joints and is tail-less. Therefore, in our robot, unlike…

Robotics · Computer Science 2022-12-13 Alireza Ramezani , Eric Sihite

Modern and future high precision pointing space missions face increasingly high challenges related to the widespread use of large flexible structures. The development of new modeling tools which are able to account for the multidisciplinary…

Systems and Control · Electrical Eng. & Systems 2022-01-06 Antonio Finozzi , Francesco Sanfedino , Daniel Alazard

The exponential growth in model sizes has significantly increased the communication burden in Federated Learning (FL). Existing methods to alleviate this burden by transmitting compressed gradients often face high compression errors, which…

Machine Learning · Computer Science 2025-02-06 Yuhao Zhou , Yuxin Tian , Mingjia Shi , Yuanxi Li , Yanan Sun , Qing Ye , Jiancheng Lv