20 papers · ranked by Valyu relevance
Anna Henschel, Guy Laban, Emily S. Cross
Purpose of Review We provide an outlook on the definitions, laboratory research, and applications of social robots, with an aim to understand what makes a robot social-in the eyes of science and the general public. Recent Findings Social robots demonstrate their potential when deployed within contexts appropriate to…
Eva Wiese, Giorgio Metta, Agnieszka Wykowska
Robots are increasingly envisaged as our future cohabitants. However, while considerable progress has been made in recent years in terms of their technological realization, the ability of robots to interact with humans in an intuitive and social way is still quite limited. An important challenge for social robotics is…
Tony J. Prescott, Julie M. Robillard
Title: Summary Social robots that can interact and communicate with people are growing in popularity for use at home and in customer-service, education, and healthcare settings. Although growing evidence suggests that co-operative and emotionally aligned social robots could benefit users across the lifespan…
Daniele Giansanti, Tin-Chih Toly Chen
This commentary aims to address the field of social robots both in terms of the global situation and research perspectives. It has four polarities. First, it revisits the evolutions in robotics, which, starting from collaborative robotics, has led to the diffusion of social robots. Second, it illustrates the main…
Thomas Kingsford
The field of social robotics will likely need to depart from a paradigm of designed behaviours and imitation learning and adopt modern reinforcement learning (RL) methods to enable robots to interact fluidly and efficaciously with humans. In this paper, we present the Social Reward Function as a mechanism to provide…
Manith Adikari, Angelo Cangelosi, Randy Gómez
—A social robot acting as a mediator can enhance interactions between humans, for example, in fields such as education and healthcare. A particularly promising area of research is the use of a social robot mediator in a multiparty setting, which tends to be the most applicable in real-world scenarios. However, research…
Chong Sun, Jiongyan Zhang, Cong Liu, Barry Chew Bao King + 3 more
'Yuwei Zhang' 'Matthew Galle' 'Maria Spichkova'] Abstract. In this paper we introduce the core results of the project on software development for social robotics systems. The usability of maintenance and control features is crucial for many kinds of systems, but in the case of social robotics we also have to take into…
Kristin Dana, Clinton J. Andrews, Kostas E. Bekris, Jacob J. Feldman + 5 more
'Matthew Stone' 'Pernille Hemmer' 'Aaron D. Mazzeo' 'Hal Salzman' 'Jingang Yi'] > Emerging applications of robotics, and concerns about their impact, require the research community to put human-centric objectives front-and-center. To meet this challenge, we advocate an interdisciplinary approach, socially cognizant…
Laura E. Jastrzab, Bishakha Chaudhury, Sarah A. Ashley, Kami Koldewyn + 1 more
We sought to replicate and expand previous work showing that the more human-like a robot appears, the more willing people are to attribute mind-like capabilities and socially engage with it. Forty-two participants played games against a human, a humanoid robot, a mechanoid robot, and a computer algorithm while…
Anshu Saxena Arora, Amit Arora, K. Sivakumar, John R. McIntyre
Social-educational robotics, such as NAO humanoid robots with social, anthropomorphic, humanlike features, are tools for learning, education, and addressing developmental disorders (e.g., autism spectrum disorder or ASD) through social and collaborative robotic interactions and interventions. There are significant gaps…
Emily S. Cross, Katie A. Riddoch, Jaydan Pratts, Simon Titone + 2 more
To what extent can humans form social relationships with robots? In the present study, we combined functional neuroimaging with a robot socialising intervention to probe the flexibility of empathy, a core component of social relationships, toward robots. Twenty-six individuals underwent identical fMRI sessions before…
Neziha Akalın, Amy Loutfi
This article surveys reinforcement learning approaches in social robotics. Reinforcement learning is a framework for decision-making problems in which an agent interacts through trial-and-error with its environment to discover an optimal behavior. Since interaction is a key component in both reinforcement learning and…
Eric Leonardis, Leo Breston, Rhiannon Lucero-Moore, Leigh Sena + 6 more
Interactive neurorobotics is a subfield which characterizes brain responses evoked during interaction with a robot, and their relationship with the behavioral responses. Gathering rich neural and behavioral data from humans or animals responding to agents can act as a scaffold for the design process of future social…
Chie Hieida, Takayuki Nagai
This study reviews research on social emotions in robotics. In robotics, the study of emotions has been pursued for a long time, including the study of their recognition, expression, and computational modeling of the basic mechanisms which underlie them. Research has advanced according to well-known psychological…
Thierry Chaminade, Nicolas Spatola
The somatic marker hypothesis posits that perceiving emotions entails reenacting markers of self emotions, in particular in the autonomous nervous system. Well studied in decision-making tasks, it has not been tested in a social cognitive neuroscience framework, and in particular for the automatic processing of…
Zhengde Wei, Ying Chen, Jiecheng Ren, Yi Piao + 9 more
A deeper understanding of the human side of human-robot interaction determined by studying the human brain when we perceive robots should help solve the biggest challenges of successful social encounters with robots. However, current social neuroscience studies mainly focus on explicit perception of robots, and…
Niamh Ellis, Alexander Caravaggio, Jonathan Kelly, Ian Young + 2 more
Robotics looks to nature for inspiration to perform effectively in unstructured environments and can be used as a platform to test biological hypotheses. Social animals often share information about food source locations: one example is tandem running in ants, where a leader guides a naive recruit to a known profitable…
Authors not listed
This comprehensive review examines the evolution of autonomous materials synthesis laboratories that integrate artificial intelligence with advanced robotics to accelerate discovery. Traditional materials development pipelines typically require 10-20 years, but self-driving laboratories (SDLs) and Materials…
Authors not listed
Machine olfaction—the artificial replication of the sense of smell—faces significant challenges due to the absence of large, standardized training datasets. Unlike vision, language, and audio models, which benefit from extensive corpora such as ImageNet, GLUE, and AudioSet, olfaction lacks scaled equivalents and…
Authors not listed
Despite the promise of self-driving laboratories to accelerate discovery, their widespread implementation is hindered by prohibitive cost and technical complexity. We introduce BrickSDLab, a fully functional self-driving lab platform built entirely from LEGO® components, designed to bridge this accessibility gap.…