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Quantum communication technology offers several advanced strategies. However, their practical use is often times not yet well understood. In this work we therefore analyze the concept of a futuristic large-scale robotic factory, where each…

量子物理 · 物理学 2023-01-18 Simon Sekavčnik , Janis Nötzel

The Industry 4.0 paradigm promises shorter development times, increased ergonomy, higher flexibility, and resource efficiency in manufacturing environments. Collaborative robots are an important tangible technology for implementing such a…

机器人学 · 计算机科学 2020-07-15 Prajval Kumar Murali , Kourosh Darvish , Fulvio Mastrogiovanni

With the increasing complexity of modern industrial automatic and robotic systems, an increasing burden is put on the operators, who are requested to supervise and interact with very complex systems, typically under challenging and…

人机交互 · 计算机科学 2018-02-20 Valeria Villani , Lorenzo Sabattini , Julia N. Czerniak , Alexander Mertens , Cesare Fantuzzi

Neuro-electronic hybrid promises to bring up a model architecture for computing. Such computing architecture could help to bring the power of biological connection and electronic circuits together for better computing paradigm. Such…

神经元与认知 · 定量生物学 2017-02-14 Sayan Biswas

Industry 4.0 offers many possibilities for creating highly efficient and flexible manufacturing. To create such advantages, highly automated and thus digitized processes and systems are required. Here, most technologies known from the…

网络与互联网体系结构 · 计算机科学 2021-01-08 Michael Gundall , Calvin Glas , Hans D. Schotten

In collaborative robotic cells, a human operator and a robot share the workspace in order to execute a common job, consisting of a set of tasks. A proper allocation and scheduling of the tasks for the human and for the robot is crucial for…

机器人学 · 计算机科学 2021-04-30 Andrea Pupa , Chiara Talignani Landi , Mattia Bertolani , Cristian Secchi

Robotic systems have been evolving since decades and touching almost all aspects of life, either for leisure or critical applications. Most of traditional robotic systems operate in well-defined environments utilizing pre-configured…

机器人学 · 计算机科学 2019-01-11 Alaa F. Sheta , Nazeeh Ghatasheh , Hossam Faris , Ali Rodan

Achieving long term autonomy of robots operating in dynamic environments such as farms remains a significant challenge. Arguably, the most demanding factors to achieve this are the on-board resource constraints such as energy, planning in…

机器人学 · 计算机科学 2020-06-25 Stuart Eiffert , Nathan D. Wallace , He Kong , Navid Pirmarzdashti , Salah Sukkarieh

Modern agriculture faces escalating challenges: increasing demand for food, labor shortages, and the urgent need to reduce environmental impact. Agricultural robotics has emerged as a promising response to these pressures, enabling the…

机器人学 · 计算机科学 2025-06-23 Stephane Ngnepiepaye Wembe , Vincent Rousseau , Johann Laconte , Roland Lenain

Poultry farming plays a pivotal role in addressing human food demand. Robots are emerging as promising tools in poultry farming, with the potential to address sustainability issues while meeting the increasing production needs and demand…

机器人学 · 计算机科学 2023-11-10 Ugur Ozenturk , Zhengqi Chen , Lorenzo Jamone , Elisabetta Versace

Smart factories are on the verge of becoming the new industrial paradigm, wherein optimization permeates all aspects of production, from concept generation to sales. To fully pursue this paradigm, flexibility in the production means as well…

人工智能 · 计算机科学 2018-06-20 Arthur Bit-Monnot , Francesco Leofante , Luca Pulina , Erika Abraham , Armando Tacchella

The implementation of robots to enhance some processes has become popular in recent years due to the accelerated way of production in some factories. Within this context was where robotics has emerged, firstly with stationary robots and…

Aerospace production volumes have increased over time and robotic solutions have been progressively introduced in the aeronautic assembly lines to achieve high-quality standards, high production rates, flexibility and cost reduction.…

机器人学 · 计算机科学 2021-07-12 Federica Storiale , Enrico Ferrentino , Pasquale Chiacchio

Robotic computing has reached a tipping point, with a myriad of robots (e.g., drones, self-driving cars, logistic robots) being widely applied in diverse scenarios. The continuous proliferation of robotics, however, critically depends on…

机器人学 · 计算机科学 2022-05-17 Zishen Wan , Ashwin Lele , Bo Yu , Shaoshan Liu , Yu Wang , Vijay Janapa Reddi , Cong Hao , Arijit Raychowdhury

Today, robotics is an auspicious and fast-growing branch of technology that involves the manufacturing, design, and maintenance of robot machines that can operate in an autonomous fashion and can be used in a wide variety of applications…

神经与进化计算 · 计算机科学 2012-04-03 Youssef Bassil

Efficient optimization of resources is paramount to success in many problems faced today. In the field of operational research the efficient scheduling of employees; packing of vans; routing of vehicles; logistics of airlines and transport…

人工智能 · 计算机科学 2021-02-10 Kenneth N. Reid , Iliya Miralavy , Stephen Kelly , Wolfgang Banzhaf , Cedric Gondro

The problem to deal with in this project is the problem of routing electric vehicles, which consists of finding the best routes for this type of vehicle, so that they reach their destination, without running out of power and optimizing to…

人工智能 · 计算机科学 2018-11-14 Esteban Quintero , Mateo Sanchez , Nicolas Roldan , Mauricio Toro

To enable highly automated vehicles where the driver is no longer a safety backup, the vehicle must deal with various Functional Insufficiencies (FIs). Thus-far, there is no widely accepted functional architecture that maximizes the…

机器人学 · 计算机科学 2024-01-17 C. A. J. Hanselaar , E. Silvas , A. Terechko , W. P. M. H. Heemels

Most conventional wheeled robots can only move in flat environments and simply divide their planar workspaces into free spaces and obstacles. Deeming obstacles as non-traversable significantly limits wheeled robots' mobility in real-world,…

机器人学 · 计算机科学 2024-03-12 Aniket Datar , Chenhui Pan , Mohammad Nazeri , Xuesu Xiao

Recent advances in large-scale machine learning have produced high-capacity foundation models capable of adapting to a broad array of downstream tasks. While such models hold great promise for robotics, the prevailing paradigm still…

机器学习 · 计算机科学 2025-02-11 Sharmita Dey
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