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As robots are increasingly deployed in real-world scenarios, a key question is how to best transfer knowledge learned in one environment to another, where shifting constraints and human preferences render adaptation challenging. A central…

人机交互 · 计算机科学 2022-05-18 Andreea Bobu , Andi Peng

The proliferation of robots in public spaces necessitates a deeper understanding of how these robots can interact with those they share the space with. In this paper, we present findings from video analysis of publicly deployed cleaning…

人机交互 · 计算机科学 2026-03-03 Barry Brown , Hannah Pelikan , Mathias Broth

Robots and intelligent systems that sense or interact with the world are increasingly being used to automate a wide array of tasks. The ability of these systems to complete these tasks depends on a large range of technologies such as the…

机器人学 · 计算机科学 2022-09-02 Charles Schaff

Successful human-robot collaboration depends on cohesive communication and a precise understanding of the robot's abilities, goals, and constraints. While robotic manipulators offer high precision, versatility, and productivity, they…

Choreographic Programming is a paradigm for developing correct-by-construction concurrent programs, by writing high-level descriptions of the desired communications and then synthesising process implementations automatically. So far,…

编程语言 · 计算机科学 2017-11-29 Luís Cruz-Filipe , Fabrizio Montesi , Marco Peressotti

Autonomous mobile service robots, like lawnmowers or cleaning robots, operating in human-populated environments need to reason about local human-human interactions to support safe and socially aware navigation while fulfilling their tasks.…

机器人学 · 计算机科学 2026-02-27 Mengyu Liang , Sarah Gillet Schlegel , Iolanda Leite

Understanding human perceptions of robot performance is crucial for designing socially intelligent robots that can adapt to human expectations. Current approaches often rely on surveys, which can disrupt ongoing human-robot interactions. As…

机器人学 · 计算机科学 2025-12-03 Qiping Zhang , Nathan Tsoi , Mofeed Nagib , Booyeon Choi , Jie Tan , Hao-Tien Lewis Chiang , Marynel Vázquez

Smooth and seamless robot navigation while interacting with humans depends on predicting human movements. Forecasting such human dynamics often involves modeling human trajectories (global motion) or detailed body joint movements (local…

计算机视觉与模式识别 · 计算机科学 2020-07-15 Vida Adeli , Ehsan Adeli , Ian Reid , Juan Carlos Niebles , Hamid Rezatofighi

Robots are increasingly being deployed in public spaces. However, the general population rarely has the opportunity to nominate what they would prefer or expect a robot to do in these contexts. Since most people have little or no experience…

Humans often work closely together and relay a wealth of information through physical interaction. Robots, on the other hand, are not yet able to work similarly closely with humans and to effectively convey information when engaging in…

机器人学 · 计算机科学 2025-08-18 Marie Charbonneau , Francisco Javier Andrade Chavez , Katja Mombaur

Nonverbal behaviors such as posture, gestures, and gaze are essential for conveying internal states, both consciously and unconsciously, in human interaction. For robots to interact more naturally with humans, robot movement design should…

机器人学 · 计算机科学 2025-01-23 Yuhan Hu , Peide Huang , Mouli Sivapurapu , Jian Zhang

Robotic technology can support the creation of new tools that improve the creative process of cinematography. It is crucial to consider the specific requirements and perspectives of industry professionals when designing and developing these…

机器人学 · 计算机科学 2023-04-18 Pragathi Praveena , Bengisu Cagiltay , Michael Gleicher , Bilge Mutlu

Robotic systems are more present in our society everyday. In human-robot environments, it is crucial that end-users may correctly understand their robotic team-partners, in order to collaboratively complete a task. To increase action…

人工智能 · 计算机科学 2021-09-03 Francisco Cruz , Richard Dazeley , Peter Vamplew , Ithan Moreira

To solve its task, a robot needs to have the ability to interpret its perceptions. In vision, this interpretation is particularly difficult and relies on the understanding of the structure of the scene, at least to the extent of its task…

机器人学 · 计算机科学 2019-01-31 Léni K. Le Goff , Ghanim Mukhtar , Alexandre Coninx , Stéphane Doncieux

We present an ongoing project that aims to develop a social robot to help children cope with painful and distressing medical procedures in a clinical setting. Our approach uses automated planning as a core component for action selection in…

机器人学 · 计算机科学 2022-10-19 Alan Lindsay , Andres Ramirez-Duque , Ronald P. A. Petrick , Mary Ellen Foster

For robots to navigate and interact more richly with the world around them, they will likely require a deeper understanding of the world in which they operate. In robotics and related research fields, the study of understanding is often…

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

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

As robots become increasingly prominent in diverse industrial settings, the desire for an accessible and reliable system has correspondingly increased. Yet, the task of meaningfully assessing the feasibility of introducing a new robotic…

机器人学 · 计算机科学 2023-05-26 Minh Q. Tram , Joseph M. Cloud , William J. Beksi

Human-centred systems require an understanding of human actions in the physical world. Temporally extended sequences of actions are intentional and structured, yet existing methods for recognising what actions are performed often do not…

人工智能 · 计算机科学 2026-04-21 Rimvydas Rubavicius , Manisha Dubey , N. Siddharth , Subramanian Ramamoorthy