20 papers · ranked by Valyu relevance
Lingfeng Zhang, Erjia Xiao, Xiaoshuai Hao, Haoxiang Fu + 6 more
— Social navigation in densely populated dynamic environments poses a significant challenge for autonomous mobile robots, requiring advanced strategies for safe interaction. Existing reinforcement learning (RL)-based methods require over 2000+ hours of extensive training and often struggle to generalize to unfamiliar…
Chen Zi-yi, Guo Ying-nan, Chu, Zedong + 18 more
Embodied navigation that adheres to social norms remains an open research challenge. Our SocialNav is a foundational model for socially-aware navigation with a hierarchical "brain-action" architecture, capable of understanding high-level social norms and generating low-level, socially compliant trajectories. To enable…
Rashid Alyassi, Cesar Cadena, Robert Riener, Diego Paez-Granados
For autonomous mobile robots to operate effectively in human environments, navigation must extend beyond obstacle avoidance to incorporate social awareness. Safe and fluid interaction in shared spaces requires the ability to interpret human motion and adapt to social norms-an area that is being reshaped by advances in…
Zilu Liang, Simeng Wu, Jie Wu, Wenxu Wang + 2 more
People form impressions about others during daily social encounters and infer personality traits from others’ behaviors. Such trait inference is thought to rely on two universal dimensions, i.e., competence and warmth. These two dimensions can be used to construct a ‘social cognitive map’ organizing massive information…
Jonatan Ginés, Francisco Martín, David Vargas, Francisco J. Rodríguez + 1 more
'Francisco J. Rodríguez' 'Vicente Matellán'] Robots have begun to populate the everyday environments of human beings. These social robots must perform their tasks without disturbing the people with whom they share their environment. This paper proposes a navigation algorithm for robots that is acceptable to people.…
Chen Zi-yi, Guo Ying-nan, Chu, Zedong + 18 more
Embodied navigation that adheres to social norms remains an open research challenge. Our SocialNav is a foundational model for socially-aware navigation with a hierarchical "brain-action" architecture, capable of understanding high-level social norms and generating low-level, socially compliant trajectories. To enable…
Jae-Young Son, Marc-Lluís Vives, Apoorva Bhandari, Oriel FeldmanHall
To make adaptive social decisions, people must anticipate how information flows through their social network. While this requires knowledge of how people are connected, networks are too large to have firsthand experience with every possible route between individuals. How, then, are people able to accurately track…
Kristina Nikolovska, Francesco Maurelli, Arvid Kappas
Introduction Robot navigation in shared environments may influence how robots are socially interpreted by nearby users, beyond its purely functional role in task execution. Prior work has shown that individual navigation features, such as proximity regulation, approach direction, or speed adaptation, can affect user…
Daeun Song, Jing Liang, Amirreza Payandeh, Xuesu Xiao + 1 more
Models Authors: ['Daeun Song' 'Jing Liang' 'Amirreza Payandeh' 'Xuesu Xiao' 'Dinesh Manocha'] Abstract— We propose VLM-Social-Nav, a novel Vision-Language Model (VLM) based navigation approach to compute a robot's trajectory in human-centered environments. Our goal is to make real-time decisions on robot actions that…
Yitian Kou, Yihe Gu, Chen Zhou, DanDan Zhu + 1 more
1 School of Computer Science and Technology, East China Normal University, Shanghai, China 2 Shanghai Key Laboratory of Mental Health and Psychological Crisis Intervention, Key Laboratory of Brain Functional Genomics (Ministry of Education and Shanghai), Institute of Brain and Education Innovation, School of Psychology…
Manran Zhu, János Kertész
Data deluge characteristic for our times has led to information overload, posing a significant challenge to effectively finding our way through the digital landscape. Addressing this issue requires an in-depth understanding of how we navigate through the abundance of information. Previous research has discovered…
Andrew M. Berdahl, Albert B. Kao, Andrea Flack, Peter A. H Westley + 4 more
Animals often travel in groups, and their navigational decisions can be influenced by social interactions. Both theory and empirical observations suggest that such collective navigation can result in individuals improving their ability to find their way and could be one of the key benefits of sociality for these…
Jarosław Karwowski, Wojciech Szynkiewicz, Ewa Niewiadomska-Szynkiewicz, Abolfazl Zaraki
Navigation lies at the core of social robotics, enabling robots to navigate and interact seamlessly in human environments. The primary focus of human-aware robot navigation is minimizing discomfort among surrounding humans. Our review explores user studies, examining factors that cause human discomfort, to perform the…
Ariel Lara-Vasquez, Nelson Espinosa, Cristian Morales, Constanza Moran + 5 more
Rodents establish dominance hierarchy as a social ranking system in which one subject acts as dominant over all the other subordinate individuals. Dominance hierarchy regulates food access and mating opportunities, but little is known of its significance in collective behavior, for instance during navigation for…
Andrea Flack, Dora Biro, Tim Guilford, Robin Freeman
Collective navigation demands that group members reach consensus on which path to follow, a task that might become more challenging when the group's members have different social connections. Group decision-making mechanisms have been studied successfully in the past using individual-based modelling, although many of…
Matthew Schafer, Philip Kamilar-Britt, Vyoma Sahani, Keren Bachi + 1 more
During navigation, the hippocampus represents physical places like coordinates on a map; similar location-like signals have been seen in sensory and concept spaces. It is unclear just how general this hippocampal place code is, however: does it map places in wholly non-perceivable spaces, without locations being…
Michael J. Proulx, Orlin S. Todorov, Amanda Taylor Aiken, Alexandra A. de Sousa
'Alexandra A. de Sousa'] Knowing who we are, and where we are, are two fundamental aspects of our physical and mental experience. Although the domains of spatial and social cognition are often studied independently, a few recent areas of scholarship have explored the interactions of place and self. This fits in with…
Lyudmyla Kirichenko, Тамара Радівілова, Anders Carlsson
This article considers a short survey of basic methods of social networks analysis, which are used for detecting cyber threats. The main types of social network threats are presented. Basic methods of graph theory and data mining, that deals with social networks analysis are described. Typical security tasks of social…
Naruki Yoshikawa, Ryuichi Kubo, Kazuki Yamamoto
Social media activity on a research article is considered to be an altmetric, a new measure to estimate research impact. Demonstrating software on Twitter is a powerful way to attract attention from a larger audience. SNS integration of software can also lower the barriers to trying the tools and make it easier to save…
Naruki Yoshikawa, Kentaro Rikimaru, Kazuki Yamamoto
Many computer-aided drug design (CADD) methods using deep learning have recently been proposed to explore the chemical space toward novel scaffolds efficiently. However, there is a tradeoff between the ease of generating novel structures and the chemical feasibility of structural formulas. To overcome the limitations…