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Assembling objects from parts requires understanding multimodal instructions, linking them to 3D components, and predicting physically plausible 6-DoF motions for each assembly step. Existing datasets focus on simplified scenarios,…

计算机视觉与模式识别 · 计算机科学 2026-05-14 Danrui Li , Jiahao Zhang , Bernhard Egger , Moitreya Chatterjee , Suhas Lohit , Tim K. Marks , Anoop Cherian

Antenna array calibration is necessary to maintain the high fidelity of beam patterns across a wide range of advanced antenna systems and to ensure channel reciprocity in time division duplexing schemes. Despite the continuous development…

信号处理 · 电气工程与系统科学 2023-05-26 Sergey S. Tambovskiy , Gábor Fodor , Hugo M. Tullberg

Assembly planning is a fundamental problem in robotics and automation, which involves designing a sequence of motions to bring the separate constituent parts of a product into their final placement in the product. Assembly planning is…

计算几何 · 计算机科学 2023-03-23 Pankaj K. Agarwal , Boris Aronov , Tzvika Geft , Dan Halperin

Traditional geometric inverse kinematics methods for parallel mechanisms rely on specific spatial geometry constraints. However, their application to redundant parallel mechanisms is challenged due to the increased constraint complexity.…

机器人学 · 计算机科学 2025-12-30 Daqian Cao , Quan Yuan , Weibang Bai

Assembly modeling is a core task of computer aided design (CAD), comprising around one third of the work in a CAD workflow. Optimizing this process therefore represents a huge opportunity in the design of a CAD system, but current research…

计算机视觉与模式识别 · 计算机科学 2021-10-06 Benjamin Jones , Dalton Hildreth , Duowen Chen , Ilya Baran , Vladimir G. Kim , Adriana Schulz

Manipulating deformable objects, such as fabric, is a long standing problem in robotics, with state estimation and control posing a significant challenge for traditional methods. In this paper, we show that it is possible to learn fabric…

机器人学 · 计算机科学 2020-10-08 Robert Lee , Daniel Ward , Akansel Cosgun , Vibhavari Dasagi , Peter Corke , Jurgen Leitner

In glass bottle manufacturing, precise control of forming machines is critical for ensuring quality and minimizing defects. This study presents a deep learning-based control algorithm designed to optimize the forming process in real…

人工智能 · 计算机科学 2025-10-22 Mattia Pujatti , Andrea Di Luca , Nicola Peghini , Federico Monegaglia , Marco Cristoforetti

Although digital fabrication processes at the desktop scale have become proficient and prolific, systems aimed at producing larger-scale structures are still typically complex, expensive, and unreliable. In this work, we present an approach…

机器人学 · 计算机科学 2025-10-16 Miana Smith , Paul Arthur Richard , Alexander Htet Kyaw , Neil Gershenfeld

Robotic grasping of 3D deformable objects (e.g., fruits/vegetables, internal organs, bottles/boxes) is critical for real-world applications such as food processing, robotic surgery, and household automation. However, developing grasp…

This paper proposes a distributed on-orbit spacecraft assembly algorithm, where future spacecraft can assemble modules with different functions on orbit to form a spacecraft structure with specific functions. This form of spacecraft…

机器人学 · 计算机科学 2024-11-27 Tianle Liu , Zhixiang Wang , Yongwei Zhang , Ziwei Wang , Zihao Liu , Yizhai Zhang , Panfeng Huang

Recently, suction-based robotic systems with microscopic features or active suction components have been proposed to grip rough and irregular surfaces. However, sophisticated fabrication methods or complex control systems are required for…

应用物理 · 物理学 2021-07-19 Sukho Song , Dirk-Michael Drotlef , Donghoon Son , Anastasia Koivikko , Metin Sitti

This article investigates the challenge of achieving functional tool-use grasping with high-DoF anthropomorphic hands, with the aim of enabling anthropomorphic hands to perform tasks that require human-like manipulation and tool-use.…

机器人学 · 计算机科学 2023-04-03 Wei Wei , Peng Wang , Sizhe Wang

In recent years, many learning based approaches have been studied to realize robotic manipulation and assembly tasks, often including vision and force/tactile feedback. However, it remains frequently unclear what is the baseline…

机器人学 · 计算机科学 2021-03-10 Wenzhao Lian , Tim Kelch , Dirk Holz , Adam Norton , Stefan Schaal

In this work we propose a learning approach to high-precision robotic assembly problems. We focus on the contact-rich phase, where the assembly pieces are in close contact with each other. Unlike many learning-based approaches that heavily…

机器人学 · 计算机科学 2021-08-03 Jieliang Luo , Hui Li

While learning from demonstrations is powerful for acquiring visuomotor policies, high-performance imitation without large demonstration datasets remains challenging for tasks requiring precise, long-horizon manipulation. This paper…

机器人学 · 计算机科学 2024-11-12 Lars Ankile , Anthony Simeonov , Idan Shenfeld , Pulkit Agrawal

Grasping deformable objects is not well researched due to the complexity in modelling and simulating the dynamic behavior of such objects. However, with the rapid development of physics-based simulators that support soft bodies, the…

机器人学 · 计算机科学 2021-07-20 Tran Nguyen Le , Jens Lundell , Fares J. Abu-Dakka , Ville Kyrki

[...] Specifically, the problem addressed is an assembly one known as the peg-in-hole task. In this case, two autonomous manipulators must carry cooperatively (at kinematic level) a peg and must insert it into an hole fixed in the…

机器人学 · 计算机科学 2025-05-13 Davide Torielli

Industrial robots are commonly used in various industries due to their flexibility. However, their adoption for machining tasks is minimal because of the low dynamic stiffness characteristic of serial kinematic chains. To overcome this…

机器人学 · 计算机科学 2024-04-18 Max Goebels , Jan Baumgärtner , Tobias Fuchs , Edgar Mühlbeier , Alexander Puchta , Jürgen Fleischer

The paper discusses the prerequisites for the creation, technical solutions and implementation of an automated control system for the assembly of a small spacecraft. Both the hardware and software implementation of the system that provides…

机器人学 · 计算机科学 2023-10-03 Nikolay Shtabel , Mikhail Saramud , Stepan Tkachev , Iakov Pikalov

Robotic manipulation is currently undergoing a profound paradigm shift due to the increasing needs for flexible manufacturing systems, and at the same time, because of the advances in enabling technologies such as sensing, learning,…