A5053445177- Manufacturing Process and Optimization
- Design Education and Practice
- Modular Robots and Swarm Intelligence
- Product Development and Customization
- Robot Manipulation and Learning
- Digital Transformation in Industry
- Soft Robotics and Applications
- Advanced machining processes and optimization
- Advanced Machining and Optimization Techniques
- Additive Manufacturing and 3D Printing Technologies
- Topic Modeling
- Intellectual Property and Patents
- Open Source Software Innovations
- Color perception and design
- Advanced Surface Polishing Techniques
- Electrowetting and Microfluidic Technologies
- Flexible and Reconfigurable Manufacturing Systems
- Technology Assessment and Management
- Online Learning and Analytics
- Knowledge Management and Sharing
- Advanced Sensor and Energy Harvesting Materials
- BIM and Construction Integration
- Genetics, Bioinformatics, and Biomedical Research
- Teleoperation and Haptic Systems
- Diverse academic and cultural studies
University of Pisa
2015-2024
Piaggio (Italy)
2012-2022
Federico Santa María Technical University
2014
GT Advanced Technologies (United States)
2014
Delft University of Technology
2010
This study delves into the evolving role of generative Large Language Models (LLMs). We develop a data-driven approach to collect and analyse tasks that users are asking LLMs. Thanks focus on this paper contributes give quantitative granular understanding potential influence LLMs in different business areas. Utilizing dataset comprising over 3.8 million tweets, we identify cluster 31,747 unique tasks, with specific case ChatGPT. To reach goal, proposed method combines two Natural Processing...
The novel generative Artificial Intelligence (AI) developed by OpenAI, i.e., ChatGPT, rised a great interest in both scientific and business contexts. This new wave of technological advancement typically produces deep transformation the workplace, requiring skills. However, none studies literature provide quantitative analysis measures on impact ChatGPT human To address this gap, we collected database 616,073 tweets about used Natural Language Processing techniques to identify tasks users...
Purpose Circumstances that are have a significant impact on it. In particular, environmental sustainability related to the increase of worldwide population, and market demand for agricultural products (with consumers more aware about cultivation breeding techniques interested in healthy high-quality products) represent two key challenges sector is going face next years. such landscape, technological innovations can support organizations entrepreneurs these problems become increasingly...
Engineering design (ED) is the process of solving technical problems within requirements and constraints to create new artifacts. Data science (DS) inter-disciplinary field that uses computational systems extract knowledge from structured unstructured data. The synergies between these two fields have a long story throughout past decades, ED has increasingly benefited an integration with DS. We present literature review at intersection DS, identifying tools, algorithms data sources show most...
While attracting increasing research attention in science and technology, Machine Learning (ML) is playing a critical role the digitalization of manufacturing operations towards Industry 4.0. Recently, ML has been applied several fields production engineering to solve variety tasks with different levels complexity performance. However, spite enormous number use cases, there no guidance or standard for developing solutions from ideation deployment. This paper aims address this problem by...
So far, autonomous order picking (commissioning) systems have not been able to meet the stringent demands regarding speed, safety, and accuracy of real-world warehouse automation, resulting in reliance on human workers. In this letter, we target next step robot commissioning: automatizing currently manual procedure. To end, investigate use case palletizing with a dedicated research platform discuss lessons learned during testing simplified settings. The main theoretical contribution is novel...
ESCO is a multilingual classification of Skills, Competences, Qualifications, and Occupations created by the European Commission to improve supply information on skills demand in labour market. It designed assist individuals, employers, universities training providers giving them up date standardized skills. Rapid technological change means that needs be updated timely manner. Evidence presented here how text-mining techniques can applied analysis data emerging skill arising from Industry...
Identifying technology convergence is getting harder, especially in fast-evolving and cross-technological fields. On the other side, natural language processing network analysis researchers to provide a novel method for mapping technologies their relations over time, order identify dynamic patterns of test it on C4ISTAR field, defense-related field. The methodology automatically extracts from corpus scientific papers, policy documents, websites, company reports using Named Entity Recognition...
The design of grasping and manipulation systems is one the most investigated topics in recent robotic automation engineering. It a process that has to take into account many development possibilities face different trade offs, as between application complexity. In this work we present novel end-effector merges essential mechanics control simplicity underactuated devices, together with high levels manipulability usually featured dexterous hands. To obtain enhancement, proposed gripper...