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相关论文: How human-robot collaboration impacts construction…

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In this study we evaluated human-robot collaboration models in an integrated human-robot operational system. An integrated work cell which includes a robotic arm working collaboratively with a human worker was specially designed for…

机器人学 · 计算机科学 2017-08-21 Lior Sayfeld , Ygal Peretz , Roy Someshwar , Yael Edan

With the advances in robotic technology, research in human-robot collaboration (HRC) has gained in importance. For robots to interact with humans autonomously they need active decision making that takes human partners into account. However,…

机器人学 · 计算机科学 2017-05-30 Judith Bütepage , Danica Kragic

The growing interest in human-robot collaboration (HRC), where humans and robots cooperate towards shared goals, has seen significant advancements over the past decade. While previous research has addressed various challenges, several key…

机器人学 · 计算机科学 2024-10-03 Prasanth Sengadu Suresh , Siddarth Jain , Prashant Doshi , Diego Romeres

An effective human-robot collaborative process results in the reduction of the operator's workload, promoting a more efficient, productive, safer and less error-prone working environment. However, the implementation of collaborative robots…

机器人学 · 计算机科学 2024-03-11 Miguel Neves , Laura Duarte , Pedro Neto

The construction industry has been notoriously slow to adopt new technology and embrace automation. This has resulted in lower efficiency and productivity compared to other industries where automation has been widely adopted. However,…

机器人学 · 计算机科学 2024-04-03 Samuel A. Prieto , Nikolaos Giakoumidis , Borja Garcia de Soto

Human interaction experience plays a crucial role in the effectiveness of human-machine collaboration, especially as interactions in future systems progress towards tighter physical and functional integration. While automation design has…

Handing objects to humans is an essential capability for collaborative robots. Previous research works on human-robot handovers focus on facilitating the performance of the human partner and possibly minimising the physical effort needed to…

Robots are increasingly working alongside people, delivering food to patrons in restaurants or helping workers on assembly lines. These scenarios often involve object handovers between the person and the robot. To achieve safe and efficient…

机器人学 · 计算机科学 2025-12-22 Leimin Tian , Shiyu Xu , Kerry He , Rachel Love , Akansel Cosgun , Dana Kulic

Human-Robot Collaboration (HRC) is rapidly replacing the traditional application of robotics in the manufacturing industry. Robots and human operators no longer have to perform their tasks in segregated areas and are capable of working in…

机器人学 · 计算机科学 2020-07-24 Mehrnoosh Askarpour , Matteo Rossi , Omer Tiryakiler

Collaborative robots are increasingly deployed alongside humans in factories, hospitals, schools, and other domains to enhance teamwork and efficiency. Systems that seamlessly integrate humans and robots into cohesive teams for coordinated…

机器人学 · 计算机科学 2024-10-14 Sujan Sarker , Haley N. Green , Mohammad Samin Yasar , Tariq Iqbal

In the rapidly evolving landscape of Human-Robot Collaboration (HRC), effective communication between humans and robots is crucial for complex task execution. Traditional request-response systems often lack naturalness and may hinder…

机器人学 · 计算机科学 2024-09-12 Davide Ferrari , Cristian Secchi

Remarkable capabilities have been achieved by robotics and AI, mastering complex tasks and environments. Yet, humans often remain passive observers, fascinated but uncertain how to engage. Robots, in turn, cannot reach their full potential…

In the dynamic construction industry, traditional robotic integration has primarily focused on automating specific tasks, often overlooking the complexity and variability of human aspects in construction workflows. This paper introduces a…

机器人学 · 计算机科学 2024-10-27 Yuning Wu , Jiaying Wei , Jean Oh , Daniel Cardoso Llach

Human trust plays a crucial role in the effectiveness of human-robot collaboration. Despite its significance, the development and maintenance of an optimal trust level are obstructed by the complex nature of influencing factors and their…

机器人学 · 计算机科学 2024-12-31 Hao Guo , Bangan Wu , Qi Li , Zhen Ding , Feng Jiang , Chunzhi Yi

Human-robot collaboration (HRC) introduces significant safety challenges, particularly in protecting human operators working alongside collaborative robots (cobots). While current ISO standards emphasize risk assessment and hazard…

机器人学 · 计算机科学 2025-03-12 Georgios Katranis , Frederik Plahl , Joachim Grimstadt , Ilshat Mamaev , Silvia Vock , Andrey Morozov

The Industry 4.0 paradigm emphasizes the crucial benefits that collaborative robots, i.e., robots able to work alongside and together with humans, could bring to the whole production process. In this context, an enabling technology yet…

Human-robot collaboration in construction is often challenged by limited robot-to-human communication and the need to adapt to tolerance accumulation arising from material and assembly uncertainties. We present an adaptive human-robot…

机器人学 · 计算机科学 2026-05-21 Jutang Gao , Arash Adel

As robots become ubiquitous in the workforce, it is essential that human-robot collaboration be both intuitive and adaptive. A robot's quality improves based on its ability to explicitly reason about the time-varying (i.e. learning curves)…

机器人学 · 计算机科学 2020-07-10 Ruisen Liu , Manisha Natarajan , Matthew Gombolay

Recently, many humanoid robots have been increasingly deployed in various facilities, including hospitals and assisted living environments, where they are often remotely controlled by human operators. Their kinematic redundancy enhances…

机器人学 · 计算机科学 2025-12-01 Nikita Boguslavskii , Lorena Maria Genua , Zhi Li

Effective human-robot collaboration requires robot to adopt their roles and levels of support based on human needs, task requirements, and complexity. Traditional human-robot teaming often relies on a pre-determined robot communication…

人机交互 · 计算机科学 2025-02-12 Shipeng Liu , FNU Shrutika , Boshen Zhang , Zhehui Huang , Gaurav Sukhatme , Feifei Qian