The Impacts of digital technologies on coping with the COVID-19 pandemic in the manufacturing industry: a systematic literature review
M Ardolino, A Bacchetti, A Dolgui… - … Journal of Production …, 2024 - Taylor & Francis
The COVID-19 pandemic's impacts have been devastating for the global economy, and
particularly for manufacturing companies. Many firms were unprepared for a crisis of this …
particularly for manufacturing companies. Many firms were unprepared for a crisis of this …
Robots under COVID-19 pandemic: A comprehensive survey
As a result of the difficulties brought by COVID-19 and its associated lockdowns, many
individuals and companies have turned to robots in order to overcome the challenges of the …
individuals and companies have turned to robots in order to overcome the challenges of the …
Drivegpt4: Interpretable end-to-end autonomous driving via large language model
Multimodallarge language models (MLLMs) have emerged as a prominent area of interest
within the research community, given their proficiency in handling and reasoning with non …
within the research community, given their proficiency in handling and reasoning with non …
Artificial intelligence and internet of things (AI-IoT) technologies in response to COVID-19 pandemic: A systematic review
The origin of the COVID-19 pandemic has given overture to redirection, as well as
innovation to many digital technologies. Even after the progression of vaccination efforts …
innovation to many digital technologies. Even after the progression of vaccination efforts …
Dynamic fusion module evolves drivable area and road anomaly detection: A benchmark and algorithms
Joint detection of drivable areas and road anomalies is very important for mobile robots.
Recently, many semantic segmentation approaches based on convolutional neural …
Recently, many semantic segmentation approaches based on convolutional neural …
Robust odometry and mapping for multi-lidar systems with online extrinsic calibration
Combining multiple LiDARs enables a robot to maximize its perceptual awareness of
environments and obtain sufficient measurements, which is promising for simultaneous …
environments and obtain sufficient measurements, which is promising for simultaneous …
A survey on global lidar localization: Challenges, advances and open problems
Abstract Knowledge about the own pose is key for all mobile robot applications. Thus pose
estimation is part of the core functionalities of mobile robots. Over the last two decades …
estimation is part of the core functionalities of mobile robots. Over the last two decades …
Human-centric autonomous systems with llms for user command reasoning
The evolution of autonomous driving has made remarkable advancements in recent years,
evolving into a tangible reality. However, a human-centric large-scale adoption hinges on …
evolving into a tangible reality. However, a human-centric large-scale adoption hinges on …
Fusionportablev2: A unified multi-sensor dataset for generalized slam across diverse platforms and scalable environments
Simultaneous Localization and Mapping (SLAM) has been widely applied in various robotic
missions, from rescue operations to autonomous driving. However, the generalization of …
missions, from rescue operations to autonomous driving. However, the generalization of …
Smart cleaner: A new autonomous indoor disinfection robot for combating the covid-19 pandemic
The COVID-19 pandemic imposes an increasing demand for service robots as a substitute
for humans to conduct various types of work in contaminated areas. Such work includes …
for humans to conduct various types of work in contaminated areas. Such work includes …