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The new paradigm of human-robot collaboration has led to the creation of shared work environments in which humans and robots work in close contact with each other. Consequently, the safety regulations have been updated addressing these new…

机器人学 · 计算机科学 2025-07-04 Andrea Pupa , Mohammad Arrfou , Gildo Andreoni , Cristian Secchi

Humanoid robots deployed in industrial environments are required to perform load-carrying transportation tasks that tightly couple locomotion and manipulation. However, achieving stable and robust locomotion under varying payloads and…

机器人学 · 计算机科学 2026-03-17 Lequn Fu , Yijun Zhong , Xiao Li , Yibin Liu , Zhiyuan Xu , Jian Tang , Shiqi Li

The objective of this paper is to present a systematic review of existing sensor-based control methodologies for applications that involve direct interaction between humans and robots, in the form of either physical collaboration or safe…

机器人学 · 计算机科学 2020-07-07 Andrea Cherubini , David Navarro-Alarcon

Complex tasks require human collaboration since robots do not have enough dexterity. However, robots are still used as instruments and not as collaborative systems. We are introducing a framework to ensure safety in a human-robot…

We study real-time collaborative robot (cobot) handling, where the cobot maneuvers a workpiece under human commands. This is useful when it is risky for humans to directly handle the workpiece. However, it is hard to make the cobot both…

机器人学 · 计算机科学 2021-12-14 Rui Chen , Alvin Shek , Changliu Liu

This paper presents a method for designing energy-aware collaboration tasks between humans and robots, and generating corresponding trajectories to carry out those tasks. The method involves using high-level specifications expressed as…

机器人学 · 计算机科学 2023-06-06 Giuseppe Silano , Amr Afifi , Martin Saska , Antonio Franchi

Understanding the intentions of human teammates is critical for safe and effective human-robot interaction. The canonical approach for human-aware robot motion planning is to first predict the human's goal or path, and then construct a…

机器人学 · 计算机科学 2023-11-10 Yi-Shiuan Tung , Matthew B. Luebbers , Alessandro Roncone , Bradley Hayes

In order to be effective teammates, robots need to be able to understand high-level human behavior to recognize, anticipate, and adapt to human motion. We have designed a new approach to enable robots to perceive human group motion in…

机器人学 · 计算机科学 2016-11-15 Tariq Iqbal , Samantha Rack , Laurel D. Riek

Collaborative robots, or cobots, are increasingly integrated into various industrial and service settings to work efficiently and safely alongside humans. However, for effective human-robot collaboration, robots must reason based on human…

机器人学 · 计算机科学 2026-01-22 Muhammad Adel Yusuf , Ali Nasir , Zeeshan Hameed Khan

This paper addresses the problem of cooperative transport of a point mass hoisted by two aerial robots. Treating the robots as a leader and a follower, the follower stabilizes the system with respect to the leader using only feedback from…

机器人学 · 计算机科学 2020-07-30 Heng Xie , Xinyu Cai , Pakpong Chirarattananon

Since cobots (collaborative robots) are increasingly being introduced in industrial environments, being aware of their potential positive and negative impacts on human collaborators is essential. This study guides occupational health…

It is well-known that a deep understanding of co-workers' behavior and preference is important for collaboration effectiveness. In this work, we present a method to accomplish smooth human-robot collaboration in close proximity by taking…

机器人学 · 计算机科学 2019-05-20 Xuan Zhao , Jia Pan

The field of Human-Robot Collaboration (HRC) has seen a considerable amount of progress in recent years. Thanks in part to advances in control and perception algorithms, robots have started to work in increasingly unstructured environments,…

机器人学 · 计算机科学 2022-02-15 Olivier Mangin , Alessandro Roncone , Brian Scassellati

Human-robot collaboration has benefited users with higher efficiency towards interactive tasks. Nevertheless, most collaborative schemes rely on complicated human-machine interfaces, which might lack the requisite intuitiveness compared…

机器人学 · 计算机科学 2024-10-28 Haolin Fei , Stefano Tedeschi , Yanpei Huang , Andrew Kennedy , Ziwei Wang

Human-robot collaboration (HRC) is an emerging trend of robotics that promotes the co-presence and cooperation of humans and robots in common workspaces. Physical vicinity and interaction between humans and robots, combined with the…

机器人学 · 计算机科学 2020-12-04 Mehrnoosh Askarpour

The recent revolution of intelligent systems made it possible for robots and autonomous systems to work alongside humans, collaborating with them and supporting them in many domains. It is undeniable that this interaction can have huge…

机器人学 · 计算机科学 2020-11-03 Basel Alhaji , Andreas Rausch , Michael Prilla

This paper studies real-time collaborative robot (cobot) handling, where the cobot maneuvers an object under human dynamic gesture commands. Enabling dynamic gesture commands is useful when the human needs to avoid direct contact with the…

机器人学 · 计算机科学 2023-04-14 Rui Chen , Alvin Shek , Changliu Liu

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 -…

机器人学 · 计算机科学 2019-09-17 Jason M. Gregory , Christopher Reardon , Kevin Lee , Geoffrey White , Ki Ng , Caitlyn Sims

This paper develops a methodology for collaborative human-robot exploration that leverages implicit coordination. Most autonomous single- and multi-robot exploration systems require a remote operator to provide explicit guidance to the…

机器人学 · 计算机科学 2023-04-20 Yves Georgy Daoud , Kshitij Goel , Nathan Michael , Wennie Tabib

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