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As robotic systems become more and more capable of assisting humans in their everyday lives, we must consider the opportunities for these artificial agents to make their human collaborators feel unsafe or to treat them unfairly. Robots can…

Robotics · Computer Science 2022-02-08 Laura Londoño , Adrian Röfer , Tim Welschehold , Abhinav Valada

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…

Robotics · Computer Science 2023-11-10 Yi-Shiuan Tung , Matthew B. Luebbers , Alessandro Roncone , Bradley Hayes

Robots applications in our daily life increase at an unprecedented pace. As robots will soon operate "out in the wild", we must identify the safety and security vulnerabilities they will face. Robotics researchers and manufacturers focus…

Robotics · Computer Science 2021-11-18 Michele Colledanchise

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…

Robotics · Computer Science 2020-04-24 Yeshasvi Tirupachuri

With the real need of field exploration in large-scale and extreme outdoor environments, cooperative exploration tasks have garnered increasing attention. This paper presents a comprehensive review of multi-robot cooperative exploration…

The foundation of successful human collaboration is deeply rooted in the principles of fairness. As robots are increasingly prevalent in various parts of society where they are working alongside groups and teams of humans, their ability to…

Robotics · Computer Science 2024-06-03 Houston Claure

Robots are soon going to be deployed in non-industrial environments. Before society can take such a step, it is necessary to endow complex robotic systems with mechanisms that make them reliable enough to operate in situations where the…

Robotics · Computer Science 2020-07-24 Livia Lestingi , Mehrnoosh Askarpour , Marcello M. Bersani , Matteo Rossi

The mental models that humans form of other agents---encapsulating human beliefs about agent goals, intentions, capabilities, and more---create an underlying basis for interaction. These mental models have the potential to affect both the…

Robotics · Computer Science 2020-01-07 Connor Brooks , Daniel Szafir

In recent years, impressive results have been achieved in robotic manipulation. While many efforts focus on generating collision-free reference signals, few allow safe contact between the robot bodies and the environment. However, in…

Robotics · Computer Science 2022-11-16 Xinghao Zhu , Wenzhao Lian , Bodi Yuan , C. Daniel Freeman , Masayoshi Tomizuka

Human trust research uncovered important catalysts for trust building between interaction partners such as appearance or cognitive factors. The introduction of robots into social interactions calls for a reevaluation of these findings and…

Robotics · Computer Science 2023-11-15 Anna L. Lange , Murat Kirtay , Verena V. Hafner

The objective of this work is to expand upon previous works, considering socially acceptable behaviours within robot navigation and interaction, and allow a robot to closely approach static and dynamic individuals or groups. The space…

Robotics · Computer Science 2023-10-17 Ricarte Ribeiro , Plinio Moreno

This paper explores the concept of engagement, the process by which individuals in an interaction start, maintain and end their perceived connection to one another. The paper reports on one aspect of engagement among human interactors--the…

Artificial Intelligence · Computer Science 2007-05-23 Candace L. Sidner , Christopher Lee , Cory Kidd , Neal Lesh , Charles Rich

Equipping artificial agents with useful exploration mechanisms remains a challenge to this day. Humans, on the other hand, seem to manage the trade-off between exploration and exploitation effortlessly. In the present article, we put…

Machine Learning · Computer Science 2022-11-15 Marcel Binz , Eric Schulz

Studies of human-robot interaction in dynamic and unstructured environments show that as more advanced robotic capabilities are deployed, the need for cooperative competencies to support collaboration with human problem-holders increases.…

Robotics · Computer Science 2025-12-18 Martijn IJtsma , Salvatore Hargis

As robots enter the messy human world so the vital matter of safety takes on a fresh complexion with physical contact becoming inevitable and even desirable. We report on an artistic-exploration of how dancers, working as part of a…

In the rapidly evolving landscape of Human-Robot Collaboration (HRC), effective communication between humans and robots is crucial for complex task execution. Traditional request-response systems often lack naturalness and may hinder…

Robotics · Computer Science 2024-09-12 Davide Ferrari , Cristian Secchi

To facilitate human-robot interaction and gain human trust, a robot should recognize and adapt to changes in human behavior. This work documents different human behaviors observed while taking objects from an interactive robot in an…

Robotics · Computer Science 2025-01-07 Parag Khanna , Elmira Yadollahi , Iolanda Leite , Mårten Björkman , Christian Smith

Human-Robot Social Interaction became one of active research fields in which researchers from different areas propose solutions and directives leading robots to improve their interactions with humans. In this paper we propose to introduce…

Robotics · Computer Science 2014-12-22 Tarek Toumi , Abdelmadjid Zidani

Ensuring safety for human-interactive robotics is important due to the potential for human injury. The key challenge is defining safety in a way that accounts for the complex range of human behaviors without modeling the human as an…

Robotics · Computer Science 2021-10-12 Jeevana Priya Inala , Yecheng Jason Ma , Osbert Bastani , Xin Zhang , Armando Solar-Lezama

The last half-decade has seen a steep rise in the number of contributions on safe learning methods for real-world robotic deployments from both the control and reinforcement learning communities. This article provides a concise but holistic…

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