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This paper presents a planning algorithm designed to improve cooperative robot behavior concerning human comfort during forceful human-robot physical interaction. Particularly, we are interested in planning for object grasping and…

Robotics · Computer Science 2018-10-22 Lipeng Chen , Luis F C Figueredo , Mehmet R. Dogar

Human-robot collaboration has gained a notable prominence in Industry 4.0, as the use of collaborative robots increases efficiency and productivity in the automation process. However, it is necessary to consider the use of mechanisms that…

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…

Robotics · Computer Science 2025-12-22 Leimin Tian , Shiyu Xu , Kerry He , Rachel Love , Akansel Cosgun , Dana Kulic

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…

Robotics · Computer Science 2025-12-01 Nikita Boguslavskii , Lorena Maria Genua , Zhi Li

A long-standing goal of the Human-Robot Collaboration (HRC) in manufacturing systems is to increase the collaborative working efficiency. In line with the trend of Industry 4.0 to build up the smart manufacturing system, the Co-robot in the…

Robotics · Computer Science 2020-07-09 Tian Yu , Jing Huang , Qing Chang

The rise of automation has provided an opportunity to achieve higher efficiency in manufacturing processes, yet it often compromises the flexibility required to promptly respond to evolving market needs and meet the demand for…

The integration of collaborative robots into industrial environments has improved productivity, but has also highlighted significant challenges related to operator safety and ergonomics. This paper proposes an innovative framework that…

Robotics · Computer Science 2025-04-15 Francesco Iodice , Elena De Momi , Arash Ajoudani

Robots are envisioned to work alongside humans in applications ranging from in-home assistance to collaborative manufacturing. Research on human-robot collaboration (HRC) has helped develop various aspects of social intelligence necessary…

Robotics · Computer Science 2021-06-08 Gopika Ajaykumar , Annie Mao , Jeremy Brown , Chien-Ming Huang

Human-robot collaboration (HRC) is one key component to achieving flexible manufacturing to meet the different needs of customers. However, it is difficult to build intelligent robots that can proactively assist humans in a safe and…

Robotics · Computer Science 2023-09-06 Ruixuan Liu , Rui Chen , Abulikemu Abuduweili , Changliu Liu

To interact seamlessly with robots, users must infer the causes of a robot's behavior and be confident about that inference. Hence, trust is a necessary condition for human-robot collaboration (HRC). Despite its crucial role, it is largely…

Robotics · Computer Science 2021-04-23 Felix Schoeller , Mark Miller , Roy Salomon , Karl J. Friston

Effective human-robot collaboration requires informed anticipation. The robot must anticipate the human's actions, but also react quickly and intuitively when its predictions are wrong. The robot must plan its actions to account for the…

Robotics · Computer Science 2020-09-07 Adam Fishman , Chris Paxton , Wei Yang , Dieter Fox , Byron Boots , Nathan Ratliff

Objective: The status of human-robot collaboration for assembly applications is reviewed and key current challenges for the research community and practitioners are presented. Background: As the pandemic of COVID-19 started to surface the…

Robotics · Computer Science 2020-06-30 Ali Ahmad Malik

This paper presents a Human-Robot Blind Handover architecture within the context of Human-Robot Collaboration (HRC). The focus lies on a blind handover scenario where the operator is intentionally faced away, focused in a task, and requires…

Robotics · Computer Science 2024-09-12 Davide Ferrari , Andrea Pupa , Cristian Secchi

Humans show specialized strategies for efficient collaboration. Transferring similar strategies to humanoid robots can improve their capability to interact with other agents, leading the way to complex collaborative scenarios with multiple…

Human-robot collaboration (HRC) is a key focus of Industry 5.0, aiming to enhance worker productivity while ensuring well-being. The ability to perceive human psycho-physical states, such as stress and cognitive load, is crucial for…

Human-robot collaboration (HRC) requires robots to adapt their motions to human intent to ensure safe and efficient cooperation in shared spaces. Although large language models (LLMs) provide high-level reasoning for inferring human intent,…

Robotics · Computer Science 2025-10-13 Jiurun Song , Xiao Liang , Minghui Zheng

Human-robot teaming offers great potential because of the opportunities to combine strengths of heterogeneous agents. However, one of the critical challenges in realizing an effective human-robot team is efficient information exchange -…

Robotics · Computer Science 2019-09-17 Jason M. Gregory , Christopher Reardon , Kevin Lee , Geoffrey White , Ki Ng , Caitlyn Sims

Human activity recognition (HAR) is fundamental in human-robot collaboration (HRC), enabling robots to respond to and dynamically adapt to human intentions. This paper introduces a HAR system combining a modular data glove equipped with…

This is a preprint of a review article that has not yet undergone peer review. The content is intended for early dissemination and academic discussion. The final version may differ upon formal publication. As the Fourth Industrial…

Robotics · Computer Science 2025-05-08 Jaehong Oh

With the introduction of collaborative robots, humans and robots can now work together in close proximity and share the same workspace. However, this collaboration presents various challenges that need to be addressed to ensure seamless…

Robotics · Computer Science 2023-07-24 Ali Noormohammadi-Asl , Ali Ayub , Stephen L. Smith , Kerstin Dautenhahn