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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…

Robotics · Computer Science 2021-05-18 Jayam Patel , Tyagaraja Ramaswamy , Zhi Li , Carlo Pinciroli

Mobile robots are traditionally developed to be reactive and avoid collisions with surrounding humans, often moving in unnatural ways without following social protocols, forcing people to behave very differently from human-human interaction…

Robotics · Computer Science 2021-09-10 Rahul Peddi , Nicola Bezzo

Communication between people is characterized by a broad range of nonverbal cues. Transferring these cues into the design of robots and other artificial agents that interact with people may foster more natural, inviting, and accessible…

Robotics · Computer Science 2023-04-25 Jacqueline Urakami , Katie Seaborn

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…

Robotics · Computer Science 2025-09-01 Hariharan Arunachalam , Phani Teja Singamaneni , Rachid Alami

Robots in shared spaces often move in ways that are difficult for people to interpret, placing the burden on humans to adapt. High-DoF robots exhibit motion that people read as expressive, intentionally or not, making it important to…

Robotics · Computer Science 2026-04-07 Jonathan Albert Cohen , Kye Shimizu , Allen Song , Vishnu Bharath , Kent Larson , Pattie Maes

When we go for a walk with friends, we can observe an interesting effect: From step lengths to arm movements - our movements unconsciously align; they synchronize. Prior research found that this synchronization is a crucial aspect of human…

Human-Computer Interaction · Computer Science 2023-05-01 Wieslaw Bartkowski , Andrzej Nowak , Filip Ignacy Czajkowski , Albrecht Schmidt , Florian Müller

Humans have the fascinating capacity of processing non-verbal visual cues to understand and anticipate the actions of other humans. This "intention reading" ability is underpinned by shared motor-repertoires and action-models, which we use…

This work aims to interpret human behavior to anticipate potential user confusion when a robot provides explanations for failure, allowing the robot to adapt its explanations for more natural and efficient collaboration. Using a dataset…

Robotics · Computer Science 2025-04-15 Andreas Naoum , Parag Khanna , Elmira Yadollahi , Mårten Björkman , Christian Smith

The Robadom project aims at creating a homecare robot that help and assist people in their daily life, either in doing task for the human or in managing day organization. A robot could have this kind of role only if it is accepted by…

Robotics · Computer Science 2012-06-15 Céline Jost , Brigitte Le Pévédic , Dominique Duhaut

Collaborative robotics requires effective communication between a robot and a human partner. This work proposes a set of interpretive principles for how a robotic arm can use pointing actions to communicate task information to people by…

Robotics · Computer Science 2019-12-16 Malihe Alikhani , Baber Khalid , Rahul Shome , Chaitanya Mitash , Kostas Bekris , Matthew Stone

When humans interact with robots influence is inevitable. Consider an autonomous car driving near a human: the speed and steering of the autonomous car will affect how the human drives. Prior works have developed frameworks that enable…

This paper examines the effect of real-time, personalized alignment of a robot's reward function to the human's values on trust and team performance. We present and compare three distinct robot interaction strategies: a non-learner strategy…

Robotics · Computer Science 2023-11-28 Shreyas Bhat , Joseph B. Lyons , Cong Shi , X. Jessie Yang

The current spread of social and assistive robotics applications is increasingly highlighting the need for robots that can be easily taught and interacted with, even by users with no technical background. Still, it is often difficult to…

Human-Computer Interaction · Computer Science 2023-05-01 Chao Wang , Anna Belardinelli , Stephan Hasler , Theodoros Stouraitis , Daniel Tanneberg , Michael Gienger

Advanced communication protocols are critical to enable the coexistence of autonomous robots with humans. Thus, the development of explanatory capabilities is an urgent first step toward autonomous robots. This survey provides an overview…

Artificial Intelligence · Computer Science 2021-05-07 Tatsuya Sakai , Takayuki Nagai

A single mobile service robot may generate hundreds of encounters with pedestrians, yet there is little published data on the factors influencing these incidental human-robot encounters. We report the results of a between-subjects…

Robotics · Computer Science 2023-11-09 Elliott Hauser , Yao-Cheng Chan , Ruchi Bhalani , Alekhya Kuchimanchi , Hanaa Siddiqui , Justin Hart

For robots to seamlessly interact with humans, we first need to make sure that humans and robots understand one another. Diverse algorithms have been developed to enable robots to learn from humans (i.e., transferring information from…

Robotics · Computer Science 2023-12-05 Soheil Habibian , Antonio Alvarez Valdivia , Laura H. Blumenschein , Dylan P. Losey

Recent work in explanation generation for decision making agents has looked at how unexplained behavior of autonomous systems can be understood in terms of differences in the model of the system and the human's understanding of the same,…

Artificial Intelligence · Computer Science 2018-02-06 Tathagata Chakraborti , Sarath Sreedharan , Sachin Grover , Subbarao Kambhampati

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

From its inception, AI has had a rather ambivalent relationship with humans -- swinging between their augmentation and replacement. Now, as AI technologies enter our everyday lives at an ever increasing pace, there is a greater need for AI…

Artificial Intelligence · Computer Science 2024-05-28 Sarath Sreedharan , Anagha Kulkarni , Subbarao Kambhampati

Human-robot studies are expensive to conduct and difficult to control, and as such researchers sometimes turn to human-avatar interaction in the hope of faster and cheaper data collection that can be transferred to the robot domain. In…

Human-Computer Interaction · Computer Science 2022-06-06 Na Li , Robert Ross