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Autonomous Mobility-on-Demand (AMoD) systems, powered by advances in robotics, control, and Machine Learning (ML), offer a promising paradigm for future urban transportation. AMoD offers fast and personalized travel services by leveraging…

The Robotic Mobile Fulfillment Systems (RMFS) is a new type of robotized, parts-to-picker material handling system, designed especially for e-commerce warehouses. Robots bring movable shelves, called pods, to workstations where inventory is…

多智能体系统 · 计算机科学 2021-03-25 Marius Merschformann , Tim Lamballais , René de Koster , Leena Suhl

In this study, an adaptive object deformability-agnostic human-robot collaborative transportation framework is presented. The proposed framework enables to combine the haptic information transferred through the object with the human…

机器人学 · 计算机科学 2022-07-28 Doganay Sirintuna , Alberto Giammarino , Arash Ajoudani

Over the last decade, the long-running endeavour to automate high-level processes in machine learning (ML) has risen to mainstream prominence, stimulated by advances in optimisation techniques and their impact on selecting ML…

机器学习 · 计算机科学 2022-03-30 David Jacob Kedziora , Katarzyna Musial , Bogdan Gabrys

The global manufacturing landscape is undergoing a fundamental shift from resource-intensive mass production to sustainable, localised manufacturing. This paper presents a comprehensive analysis of a Cloud Crafting Platform that enables…

新兴技术 · 计算机科学 2025-02-11 Igor Ivkić , Tobias Buhmann , Burkhard List

The introduction of assistive construction robots can significantly alleviate physical demands on construction workers while enhancing both the productivity and safety of construction projects. Leveraging a Building Information Model (BIM)…

机器人学 · 计算机科学 2024-06-11 Xi Wang , Hongrui Yu , Wes McGee , Carol C. Menassa , Vineet R. Kamat

The rapid growth in terms of the availability of transportation data provides great potential for the introduction of emerging data-driven methodologies into transportation-related research and development efforts. However, advanced…

物理与社会 · 物理学 2024-06-25 Zilin Bian , Dachuan Zuo , Jingqin Gao , Kaan Ozbay , Matthew D. Maggio

Despite the number of works published in recent years, vehicle localization remains an open, challenging problem. While map-based localization and SLAM algorithms are getting better and better, they remain a single point of failure in…

机器人学 · 计算机科学 2024-03-21 Luca Mozzarelli , Luca Cattaneo , Matteo Corno , Sergio Matteo Savaresi

Spaced-based mirrors are a developing use-case for Additive Manufacturing (AM), the process that builds a part layer-by-layer. The increased geometric freedom results in novel and advantageous designs previously unachievable.…

In this paper, we introduce a software and hardware structure for on-line mobile robotic systems. The hardware mainly consists of a Multi-Sensor Smart Robot connected to the Internet through 3G mobile network. The system employs a…

机器人学 · 计算机科学 2016-11-30 P. M. Duong , T. T. Hoang , N. T. T. Van , D. A. Viet , T. Q. Vinh

Architectural monitoring and adaptation allows self-management capabilities of autonomic systems to realize more powerful adaptation steps, which observe and adjust not only parameters but also the software architecture. However, monitoring…

软件工程 · 计算机科学 2018-05-23 Thomas Vogel , Stefan Neumann , Stephan Hildebrandt , Holger Giese , Basil Becker

Robot-assisted feeding systems enhance the independence of individuals with motor impairments and alleviate caregiver burden. While existing systems predominantly rely on software-based safety features to mitigate risks during unforeseen…

机器人学 · 计算机科学 2025-02-26 Hau Wen Chang , J-Anne Yow , Lek Syn Lim , Wei Tech Ang

The aerial manipulator (AM) is a systematic operational robotic platform in high standard on algorithm robustness. Directly deploying the algorithms to the practical system will take numerous trial and error costs and even cause destructive…

机器人学 · 计算机科学 2021-03-22 Fengyu Quan , Huisheng Huang , Hongjie Zeng , Haoyao Chen , Yunhui Liu

The promise of Additive Manufacturing (AM) includes reduced transportation and warehousing costs, reduction of source material waste, and reduced environmental impact. AM is extremely useful for making prototypes and has demonstrated the…

计算机与社会 · 计算机科学 2017-06-05 Gregory Pope , Mark Yampolskiy

Force modulation of robotic manipulators has been extensively studied for several decades. However, it is not yet commonly used in safety-critical applications due to a lack of accurate interaction contact modeling and weak performance…

机器人学 · 计算机科学 2023-06-13 Lasitha Wijayarathne , Ziyi Zhou , Ye Zhao , Frank L. Hammond

This review explores the potential of foundation models to advance laboratory automation in the materials and chemical sciences. It emphasizes the dual roles of these models: cognitive functions for experimental planning and data analysis,…

Manipulation planning and control are relevant building blocks of a robotic system and their tight integration is a key factor to improve robot autonomy and allows robots to perform manipulation tasks of increasing complexity, such as those…

The deployment of mobile robots for material handling in industrial environments requires scalable coordination of large fleets in dynamic settings. This paper presents a two-layer framework that combines high-level scheduling with…

机器人学 · 计算机科学 2025-11-19 Sabino Francesco Roselli , Ze Zhang , Knut Åkesson

Additive manufacturing has the potential to become a standard method for manufacturing products, and product information is indispensable for the item distribution system. While most products are given barcodes to the exterior surfaces,…

图像与视频处理 · 电气工程与系统科学 2020-05-26 Kenta Yamamoto , Ryota Kawamura , Kazuki Takazawa , Hiroyuki Osone , Yoichi Ochiai

As access to space and robotic autonomy capabilities move forward, there is simultaneously a growing interest in deploying large, complex space structures to provide new on-orbit capabilities. New space-borne observatories, large orbital…

机器人学 · 计算机科学 2021-02-23 Bryce Doerr , Keenan Albee , Monica Ekal , Richard Linares , Rodrigo Ventura
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