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While artificial intelligence (AI) and other automation technologies might lead to enormous progress in healthcare, they may also have undesired consequences for people working in the field. In this interdisciplinary study, we capture…

机器学习 · 统计学 2019-10-22 Wolfgang Frühwirt , Paul Duckworth

Automated industries lead to high quality production, lower manufacturing cost and better utilization of human resources. Robotic manipulator arms have major role in the automation process. However, for complex manipulation tasks, hard…

Robot manipulation is an important part of human-robot interaction technology. However, traditional pre-programmed methods can only accomplish simple and repetitive tasks. To enable effective communication between robots and humans, and to…

机器人学 · 计算机科学 2023-09-12 Haoxu Zhang , Parham M. Kebria , Shady Mohamed , Samson Yu , Saeid Nahavandi

Automation through IoT brings with it a whole new set of philosophical and ethical implications that we barely began to address. However, it is widely considered by many scholars as the panacea to overcoming the majority of societal issues.…

人机交互 · 计算机科学 2019-11-21 D. Casado-Mansilla , P. Garaizar , A. Irizar-Arrieta , D. López-de-Ipiña

Manufacturing is facing ever changing market demands, with faster innovation cycles resulting to growing agility and flexibility requirements. Industry 4.0 has been transforming the manufacturing world towards digital automation and the…

机器人学 · 计算机科学 2024-09-26 Taneli Lohi , Samuli Soutukorva , Tapio Heikkilä

Human-in-the-loop aims to train an accurate prediction model with minimum cost by integrating human knowledge and experience. Humans can provide training data for machine learning applications and directly accomplish tasks that are hard for…

机器学习 · 计算机科学 2022-05-20 Xingjiao Wu , Luwei Xiao , Yixuan Sun , Junhang Zhang , Tianlong Ma , Liang He

Driven by the rapid ascent of artificial intelligence (AI), organizations are at the epicenter of a seismic shift, facing a crucial question: How can AI be successfully integrated into existing operations? To help answer it, manage…

软件工程 · 计算机科学 2024-02-09 Tamen Jadad-Garcia , Alejandro R. Jadad

The success of the human-robot co-worker team in a flexible manufacturing environment where robots learn from demonstration heavily relies on the correct and safe operation of the robot. How this can be achieved is a challenge that requires…

机器人学 · 计算机科学 2021-04-13 Kerstin Eder , Chris Harper , Ute Leonards

There is significant concern that technological advances, especially in Robotics and Artificial Intelligence (AI), could lead to high levels of unemployment in the coming decades. Studies have estimated that around half of all current jobs…

人工智能 · 计算机科学 2017-06-22 Toby Walsh

Nowadays, electric robots play big role in many fields as they can replace humans and/or decrease the amount of load on humans. There are several types of robots that are present in the daily life, some of them are fully controlled by…

机器人学 · 计算机科学 2024-12-17 Nesreen Mufid

AI technologies, including deep learning, large-language models have gone from one breakthrough to the other. As a result, we are witnessing growing excitement in robotics at the prospect of leveraging the potential of AI to tackle some of…

Autonomous grasping remains challenging as unlike humans, robots do not possess a sophisticated sensing nor delicate interaction capability with the real environment. Among other efforts that tried to close the gap between them,…

机器人学 · 计算机科学 2022-03-10 Tai Hoang

Deep learning's success in perception, natural language processing, etc. inspires hopes for advancements in autonomous robotics. However, real-world robotics face challenges like variability, high-dimensional state spaces, non-linear…

机器人学 · 计算机科学 2025-01-28 Sven Behnke

Algorithmic resignation is a strategic approach for managing the use of artificial intelligence (AI) by embedding governance directly into AI systems. It involves deliberate and informed disengagement from AI, such as restricting access AI…

计算机与社会 · 计算机科学 2024-07-18 Umang Bhatt , Holli Sargeant

Intelligent Process Automation (IPA) is emerging as a sub-field of AI to support the automation of long-tail processes which requires the coordination of tasks across different systems. So far, the field of IPA has been largely driven by…

人机交互 · 计算机科学 2020-02-05 Deborah Ferreira , Julia Rozanova , Krishna Dubba , Dell Zhang , Andre Freitas

Though technical advance of artificial intelligence and machine learning has enabled many promising intelligent systems, many computing tasks are still not able to be fully accomplished by machine intelligence. Motivated by the…

人机交互 · 计算机科学 2022-02-23 Jiangtao Wang , Bin Guo , Liming Chen

A mix of intelligent systems and robotics is making engineering industries much more efficient, precise and able to adapt. How artificial intelligence (AI), machine learning (ML) and autonomous robotic technologies are changing…

Any industrial system goes along with objectives to be met (e.g. economic performance), disturbances to handle (e.g. market fluctuations, catalyst decay, unexpected variations in uncontrolled flow rates and compositions,...), and…

最优化与控制 · 数学 2021-08-20 Aris Papasavvas

The use of robots in industrial settings continues to grow, driven by the need to address complex societal challenges such as labor shortages, aging populations, and ever-increasing production demands. In this abstract, we advocate for (and…

Since its beginnings in the 1940s, automated reasoning by computers has become a tool of ever growing importance in scientific research. So far, the rules underlying automated reasoning have mainly been formulated by humans, in the form of…

计算机与社会 · 计算机科学 2025-10-20 Konrad Hinsen