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相关论文: Vision-Based Safety System for Barrierless Human-R…

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What is considered safe for a robot operator during physical human-robot collaboration (HRC) is specified in corresponding HRC standards (e.g., ISO/TS 15066). The regime that allows collisions between the moving robot and the operator,…

机器人学 · 计算机科学 2025-03-07 Lukas Rustler , Matej Misar , Matej Hoffmann

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

We study a human-robot collaborative transportation task in presence of obstacles. The task for each agent is to carry a rigid object to a common target position, while safely avoiding obstacles and satisfying the compliance and actuation…

机器人学 · 计算机科学 2022-07-14 Tony Zheng , Monimoy Bujarbaruah , Yvonne R. Stürz , Francesco Borrelli

This paper aims to address the open problem of designing a globally stable vision-based controller for robot manipulators. Accordingly, based on a hybrid mechanism, this paper proposes a novel task-space control law attained by taking the…

系统与控制 · 电气工程与系统科学 2023-02-09 Seyed Hamed Hashemi , Jouni Mattila

Over the last years collaborative robots have gained great success in manufacturing applications where human and robot work together in close proximity. However, current ISO/TS-15066-compliant implementations often limit the efficiency of…

机器人学 · 计算机科学 2025-11-25 David Bricher , Andreas Mueller

Attention (and distraction) recognition is a key factor in improving human-robot collaboration. We present an assembly scenario where a human operator and a cobot collaborate equally to piece together a gearbox. The setup provides multiple…

人机交互 · 计算机科学 2023-04-03 Pooja Prajod , Matteo Lavit Nicora , Matteo Malosio , Elisabeth André

Safe and efficient collaboration among multiple robots in unstructured environments is increasingly critical in the era of Industry 4.0. However, achieving robust and autonomous collaboration among humans and other robots requires modern…

机器人学 · 计算机科学 2023-03-29 Apan Dastider , Mingjie Lin

Understanding human intentions is critical for safe and effective human-robot collaboration. While state of the art methods for human goal prediction utilize learned models to account for the uncertainty of human motion data, that data is…

机器人学 · 计算机科学 2024-01-24 Yi-Shiuan Tung , Matthew B. Luebbers , Alessandro Roncone , Bradley Hayes

Construction robots operate in unstructured construction sites, where effective visual perception is crucial for ensuring safe and seamless operations. However, construction robots often handle large elements and perform tasks across…

机器人学 · 计算机科学 2024-12-17 Jia Xu , Manish Dixit , Xi Wang

In industrial applications, complex tasks require human collaboration since the robot doesn't have enough dexterity. However, the robots are still implemented as tools and not as collaborative intelligent systems. To ensure safety in the…

In this context, a major focus of this thesis is on unintentional collisions, where a straight goal is to eliminate injury from users and passerby's via realtime sensing and control systems. A less obvious focus is to combine collision…

机器人学 · 计算机科学 2017-11-08 Kwan Suk Kim

This paper presents a mixed-reality human-robot teaming system. It allows human operators to see in real-time where robots are located, even if they are not in line of sight. The operator can also visualize the map that the robots create of…

机器人学 · 计算机科学 2023-10-05 Jiaqi Chen , Boyang Sun , Marc Pollefeys , Hermann Blum

A robot needs multiple interaction modes to robustly collaborate with a human in complicated industrial tasks. We develop a Coexistence-and-Cooperation (CoCo) human-robot collaboration system. Coexistence mode enables the robot to work with…

There is invariably a trade-off between safety and efficiency for collaborative robots (cobots) in human-robot collaborations. Robots that interact minimally with humans can work with high speed and accuracy but cannot adapt to new tasks or…

机器人学 · 计算机科学 2022-10-13 Xiangjie Yan , Yongpeng Jiang , Chen Chen , Leiliang Gong , Ming Ge , Tao Zhang , Xiang Li

As robotic technology advances, the barriers to the coexistence of humans and robots are slowly coming down. Application domains like elderly care, collaborative manufacturing, collaborative manipulation, etc., are considered the need of…

机器人学 · 计算机科学 2020-04-24 Yeshasvi Tirupachuri

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

Ensuring human safety is of paramount importance in warehouse environments that feature mixed traffic of human workers and autonomous mobile robots (AMRs). Current approaches often treat humans as generic dynamic obstacles, leading to…

计算机视觉与模式识别 · 计算机科学 2026-04-22 Maximilian Haug , Christian Stippel , Lukas Pscherer , Benjamin Schwendinger , Ralph Hoch , Angel Gaydarov , Sebastian Schlund , Thilo Sauter

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…

Ensuring operational safety is critical for human-to-humanoid motion imitation. This paper presents a vision-based framework that enables a humanoid robot to imitate human movements while avoiding collisions. Human skeletal keypoints are…

机器人学 · 计算机科学 2026-04-14 Wenqi Cai , John Abanes , Nikolaos Evangeliou , Anthony Tzes

Aerial robots have the potential to play a crucial role in assisting humans with complex and dangerous tasks. Nevertheless, the future industry demands innovative solutions to streamline the interaction process between humans and drones to…

机器人学 · 计算机科学 2024-04-09 Luca Morando , Giuseppe Loianno