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相关论文: Shared Control in Human Robot Teaming: Toward Cont…

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Despite the increasing interest in trust in human-robot interaction (HRI), there is still relatively little exploration of trust as a social construct in HRI. We propose that integration of useful models of human-human trust from…

机器人学 · 计算机科学 2023-08-10 David Cameron , Emily Collins , Stevienna de Saille , James Law

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

Trust plays a central role in human--robot collaboration, yet its formation is rarely examined under the constraints of fully autonomous interaction. This pilot study investigated how interaction policy influences trust during in-person…

机器人学 · 计算机科学 2026-03-18 Shauna Heron , Meng Cheng Lau

The use of social robots as instruments for social mediation has been gaining traction in the field of Human-Robot Interaction (HRI). So far, the design of such robots and their behaviors is often driven by technological platforms and…

In shared autonomy, user input and robot autonomy are combined to control a robot to achieve a goal. Often, the robot does not know a priori which goal the user wants to achieve, and must both predict the user's intended goal, and assist in…

机器人学 · 计算机科学 2015-04-21 Shervin Javdani , Siddhartha S. Srinivasa , J. Andrew Bagnell

Voice is an essential modality for human-robot interaction (HRI). The way a robot sounds plays a central role in shaping how humans perceive and engage with it, influencing factors such as intelligibility, understandability, and likability.…

人机交互 · 计算机科学 2026-01-21 Amy Koike , Yuki Okafuji , Sichao Song

This paper addresses the problem of safe and efficient navigation in remotely controlled robots operating in hazardous and unstructured environments; or conducting other remote robotic tasks. A shared control method is presented which…

机器人学 · 计算机科学 2021-07-05 Pantelis Pappas , Manolis Chiou , Georgios-Theofanis Epsimos , Grigoris Nikolaou , Rustam Stolkin

Cooperation among humans makes it easy to execute tasks and navigate seamlessly even in unknown scenarios. With our individual knowledge and collective cognition skills, we can reason about and perform well in unforeseen situations and…

机器人学 · 计算机科学 2021-08-17 Gourav Kumar , Soumyadip Maity , Ruddra dev Roychoudhury , Brojeshwar Bhowmick

This study introduces a haptic shared control framework designed to teach human drivers advanced driving skills. In this context, shared control refers to a driving mode where the human driver collaborates with an autonomous driving system…

When cooperating with a human, a robot should not only care about its environment and task but also develop an understanding of the partner's reasoning. To support its human partner in complex tasks, the robot can share information that it…

机器人学 · 计算机科学 2021-09-06 Moritz C. Buehler , Jürgen Adamy , Thomas H. Weisswange

Humans make decisions and act alongside other humans to pursue both short-term and long-term goals. As a result of ongoing progress in areas such as computing science and automation, humans now also interact with non-human agents of varying…

Recently, modeling of decision making and control systems that include heterogeneous smart sensing devices (machines) as well as human agents as participants is becoming an important research area due to the wide variety of applications…

信号处理 · 电气工程与系统科学 2023-01-20 Baocheng Geng , Pramod K. Varshney

In 2018 the European Commission highlighted the demand of a human-centered approach to AI. Such a claim is gaining even more relevance considering technologies specifically designed to directly interact and physically collaborate with human…

机器人学 · 计算机科学 2021-09-15 Rachele Carli , Amro Najjar

This paper explores cooperative trajectory planning approaches within the context of human-machine shared control. In shared control research, it is typically assumed that the human and the automation use the same reference trajectory to…

系统与控制 · 电气工程与系统科学 2024-10-23 Julian Schneider , Balint Varga , Sören Hohmann

Shared control in teleoperation leverages both human and robot's strengths and has demonstrated great advantages of reducing the difficulties in teleoperating a robot and increasing the task performance. One fundamental question in shared…

机器人学 · 计算机科学 2020-03-12 Songpo Li , Michael Bowman , Xiaoli Zhang

Robots are now increasingly integrated into various real world applications and domains. In these new domains, robots are mostly employed to improve, in some ways, the work done by humans. So, the need for effective Human-Robot Teaming…

机器人学 · 计算机科学 2024-08-26 Yousra Shleibik , Elijah Alabi , Christopher Reardon

Prior human-robot interaction (HRI) research has primarily focused on single-user interactions, where robots do not need to consider the timing or recipient of their responses. However, in multi-party interactions, such as at malls and…

机器人学 · 计算机科学 2025-07-16 He Zhu , Ryo Miyoshi , Yuki Okafuji

Transparency is a key factor in improving the performance of human-robot interaction. A transparent interface allows humans to be aware of the state of a robot and to assess the progress of the tasks at hand. When multi-robot systems are…

机器人学 · 计算机科学 2021-05-18 Jayam Patel , Tyagaraja Ramaswamy , Zhi Li , Carlo Pinciroli

Autonomous robots and drones will work collaboratively and cooperatively in tomorrow's industry and agriculture. Before this becomes a reality, some form of standardised communication between man and machine must be established that…

人机交互 · 计算机科学 2020-05-04 Hans Dermot Doran , Monika Reif , Marco Oehler , Curdin Stoehr , Pierluigi Capone

Human autonomy and sense of agency are increasingly recognised as critical for user well-being, motivation, and the ethical deployment of robots in human-robot interaction (HRI). Given the rapid development of artificial intelligence, robot…

人机交互 · 计算机科学 2026-05-25 Felix Glawe , Tim Schmeckel , Philipp Brauner , Martina Ziefle