Bridging the collectives: A review of collective human–robot construction

2021 ◽  
pp. 147807712110251
Author(s):  
Isla Xi Han ◽  
Forrest Meggers ◽  
Stefana Parascho
Keyword(s):  
Architectural Design ◽  
Human Robot Interaction ◽  
Robotic Technology ◽  
Robot Interaction ◽  
The Past ◽  
Construction Methods ◽  
Multi Agent ◽  
New Research ◽  
Robotic Construction ◽  
Research Domain

Advancements in multi-agent, autonomous, and intelligent robotic systems over the past decades point toward new design and fabrication possibilities. Exploring how humans and robots can create and construct collectively is essential in leveraging robotic technology in the building sector. However, only by making existing knowledge from relevant technological disciplines accessible to designers can we fully exploit current construction methods and further develop them to address the challenges in architecture. To do this, we present a review paper that bridges the gap between Collective Robotic Construction (CRC) and Human–Robot Interaction (HRI) and defines a new research domain in Collective Human–Robot Construction (CHRC) in the architectural design and fabrication context.

scholarly journals Survey of Emotions in Human–Robot Interactions: Perspectives from Robotic Psychology on 20 Years of Research

2021 ◽  
Author(s):  
Ruth Stock-Homburg
Keyword(s):  
Knowledge Production ◽  
Current Knowledge ◽  
Social Robots ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Interdisciplinary Field ◽  
Artificial Emotions ◽  
Art Research ◽  
Research Domain

AbstractKnowledge production within the interdisciplinary field of human–robot interaction (HRI) with social robots has accelerated, despite the continued fragmentation of the research domain. Together, these features make it hard to remain at the forefront of research or assess the collective evidence pertaining to specific areas, such as the role of emotions in HRI. This systematic review of state-of-the-art research into humans’ recognition and responses to artificial emotions of social robots during HRI encompasses the years 2000–2020. In accordance with a stimulus–organism–response framework, the review advances robotic psychology by revealing current knowledge about (1) the generation of artificial robotic emotions (stimulus), (2) human recognition of robotic artificial emotions (organism), and (3) human responses to robotic emotions (response), as well as (4) other contingencies that affect emotions as moderators.

scholarly journals I–C–E Framework: Concepts for Group Dynamics Research in Human-Robot Interaction

2020 ◽  
Vol 12 (6) ◽  
pp. 1213-1229
Author(s):  
Anna M. H. Abrams ◽  
Astrid M. Rosenthal-von der Pütten
Keyword(s):  
Social Sciences ◽  
Group Dynamics ◽  
Theoretical Foundation ◽  
Human Robot Interaction ◽  
Future Research ◽  
Robot Interaction ◽  
The Past ◽  
Social Settings ◽  
The Social ◽  
Near Future

AbstractThe research community of human-robot interaction relies on theories and phenomena from the social sciences in order to study and validate robotic developments in interaction. These studies mainly concerned one (human) on one (robot) interactions in the past. The present paper shifts the attention to groups and group dynamics and reviews relevant concepts from the social sciences: ingroup identification (I), cohesion (C) and entitativity (E). Ubiquitous robots will be part of larger social settings in the near future. A conceptual framework, the I–C–E framework, is proposed as a theoretical foundation for group (dynamics) research in HRI. Additionally, we present methods and possible measures for these relevant concepts and outline topics for future research.

scholarly journals Dynamic Input Deep Learning Control of Artificial Avatars in a Multi-Agent Joint Motor Task

2021 ◽  
Vol 8 ◽  
Author(s):  
Maria Lombardi ◽  
Davide Liuzza ◽  
Mario di Bernardo
Keyword(s):  
Motor Coordination ◽  
Motor Task ◽  
Human Robot Interaction ◽  
Artificial Agents ◽  
Artificial Agent ◽  
Common Goal ◽  
Robot Interaction ◽  
Joint Task ◽  
Multi Agent ◽  
Human Motor

In many real-word scenarios, humans and robots are required to coordinate their movements in joint tasks to fulfil a common goal. While several examples regarding dyadic human robot interaction exist in the current literature, multi-agent scenarios in which one or more artificial agents need to interact with many humans are still seldom investigated. In this paper we address the problem of synthesizing an autonomous artificial agent to perform a paradigmatic oscillatory joint task in human ensembles while exhibiting some desired human kinematic features. We propose an architecture based on deep reinforcement learning which is flexible enough to make the artificial agent interact with human groups of different sizes. As a paradigmatic coordination task we consider a multi-agent version of the mirror game, an oscillatory motor task largely used in the literature to study human motor coordination.

Mapping Hybrid Agencies Through Multiagent Systems

2009 ◽  
pp. 215-227
Author(s):  
Samuel G. Collins ◽  
Goran Trajkovski
Keyword(s):  
Multiagent Systems ◽  
Human Subjects ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Social Phenomena ◽  
Motor Abilities ◽  
Social Actions ◽  
Multi Agent ◽  
Interaction Experiment ◽  
The One

In this chapter, we give an overview of the results of a Human-Robot Interaction experiment, in a near zerocontext environment. We stimulate the formation of a network joining together human agents and non-human agents, in order to examine emergent conditions and social actions. Human subjects, in teams of three to four, are presented with a task–to coax a robot (by any means) from one side of a table to the other–not knowing with what sensory and motor abilities the robotic structure is equipped. On the one hand, the “goal” of the exercise is to “move” the robot through any linguistic or paralinguistic means. But, from the perspective of the investigators, the goal is both broader and more nebulous–to stimulate any emergent interactions whatsoever between agents, human or non-human. Here we discuss emergent social phenomena in this assemblage of human and machine, in particular, turn-taking and discourse, suggesting (counter-intuitively) that the “transparency” of non-human agents may not be the most effective way to generate multi-agent sociality.

scholarly journals I-C-E Framework: Concepts for Group Dynamics Research in Human-Robot Interaction

2019 ◽  
Author(s):  
Anna M. H. Abrams ◽  
Astrid Rosenthal-von der Pütten
Keyword(s):  
Social Sciences ◽  
Group Dynamics ◽  
Group Identification ◽  
Human Robot Interaction ◽  
Future Research ◽  
Robot Interaction ◽  
The Past ◽  
Social Settings ◽  
The Social ◽  
Near Future

The research community of human-robot interaction relies on theories and phenomena from the social sciences in order to study and validate robotic developments in interaction. These studies mainly concerned one (human) on one (robot) interactions in the past. The present paper shifts the attention to groups and group dynamics and reviews relevant concepts from the social sciences: in-group identification (I), cohesion (C) and entitativity (E). Ubiquitous robots will be part of larger social settings in the near future. A conceptual framework, the I-C-E framework, is proposed as a theoretical foundation for group (dynamics) research in HRI. Additionally, we present methods and possible measures for these relevant concepts and outline topics for future research.

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