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The topic of physical human-robot interaction received a lot of attention from the robotics community because of many promising application domains. However, studying physical interaction between a robot and an external agent, like a human…

In hybrid industrial environments, workers' comfort and positive perception of safety are essential requirements for successful acceptance and usage of collaborative robots. This paper proposes a novel human-robot interaction framework in…

机器人学 · 计算机科学 2023-01-02 Marta Lagomarsino , Marta Lorenzini , Elena De Momi , Arash Ajoudani

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

Human-robot collaborative assembly systems enhance the efficiency and productivity of the workplace but may increase the workers' cognitive demand. This paper proposes an online and quantitative framework to assess the cognitive workload…

机器人学 · 计算机科学 2022-07-11 Marta Lagomarsino , Marta Lorenzini , Pietro Balatti , Elena De Momi , Arash Ajoudani

For successful goal-directed human-robot interaction, the robot should adapt to the intentions and actions of the collaborating human. This can be supported by musculoskeletal or data-driven human models, where the former are limited to…

机器人学 · 计算机科学 2026-02-17 Kevin Haninger , Luka Peternel

Despite cobots have high potential in bringing several benefits in the manufacturing and logistic processes, but their rapid (re-)deployment in changing environments is still limited. To enable fast adaptation to new product demands and to…

When a human performs a given specific task, it has been known that the central nervous system controls modularized muscle group, which is called muscle synergy. For human-robot interface design problem, therefore, the muscle synergy can be…

机器人学 · 计算机科学 2022-05-12 Janghyeon Kim , Dae Han Sim , Ho-Jin Jung , Ji-Hyeon Yoo , Changjae Lee , Han Ul Yoon

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…

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

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…

Both the design and control of a robot play equally important roles in its task performance. However, while optimal control is well studied in the machine learning and robotics community, less attention is placed on finding the optimal…

机器人学 · 计算机科学 2022-01-25 Jagdeep Singh Bhatia , Holly Jackson , Yunsheng Tian , Jie Xu , Wojciech Matusik

Socially aware robot navigation is a planning paradigm where the robot navigates in human environments and tries to adhere to social constraints while interacting with the humans in the scene. These navigation strategies were further…

机器人学 · 计算机科学 2025-09-01 Hariharan Arunachalam , Phani Teja Singamaneni , Rachid Alami

The recognition of actions performed by humans and the anticipation of their intentions are important enablers to yield sociable and successful collaboration in human-robot teams. Meanwhile, robots should have the capacity to deal with…

机器人学 · 计算机科学 2022-07-08 Francesco Tassi , Francesco Iodice , Elena De Momi , Arash Ajoudani

Collaborative robotics cells leverage heterogeneous agents to provide agile production solutions. Effective coordination is essential to prevent inefficiencies and risks for human operators working alongside robots. This paper proposes a…

机器人学 · 计算机科学 2025-03-11 Samuele Sandrini , Marco Faroni , Nicola Pedrocchi

Physical interactive robotics, ranging from wearable devices to collaborative humanoid robots, require close coordination between mechanical design and control. However, evaluating interactive dynamics is challenging due to complex human…

机器人学 · 计算机科学 2026-03-11 Chenhui Zuo , Jinhao Xu , Michael Qian Vergnolle , Yanan Sui

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

In robotics, structural design and behavior optimization have long been considered separate processes, resulting in the development of systems with limited capabilities. Recently, co-design methods have gained popularity, where bi-level…

机器人学 · 计算机科学 2025-07-02 Rohit Kumar , Melya Boukheddimi , Dennis Mronga , Shivesh Kumar , Frank Kirchner

This paper addresses several critical stages of designing a walking robot, including optimal structural synthesis, introducing a novel 'rational' mechanical structure aimed at enhancing efficiency and simplifying control system, while…

机器人学 · 计算机科学 2025-05-05 Arman Ibrayeva , Batyrkhan Omarov

Animal and robotic collective behaviours can exhibit complex dynamics that require multi-level descriptions. Here, we are interested in developing a multi-level modeling framework for the use of robots in studies about animal collective…

适应与自组织系统 · 物理学 2019-02-12 Leo Cazenille , Nicolas Bredeche , José Halloy

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