Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Nathan Tsoi"'
Publikováno v:
Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction.
Publikováno v:
Proceedings of the 10th International Conference on Human-Agent Interaction.
Autor:
Sydney Thompson, Mason Swofford, Nathan Tsoi, Roberto Martín-Martín, Marynel Vázquez, John Charles Peruzzi, Silvio Savarese
Publikováno v:
Proceedings of the ACM on Human-Computer Interaction. 4:1-23
We propose a data-driven approach to detect conversational groups by identifying spatial arrangements typical of these focused social encounters. Our approach uses a novel Deep Affinity Network (DANTE) to predict the likelihood that two individuals i
Autor:
Nathan Tsoi, Marynel Vázquez
Publikováno v:
HRI (Companion)
Our aim is to advance the reliability of autonomous social navigation. We have researched how simulation may advance this goal via crowdsourcing. We recently proposed the Simulation Environment for Autonomous Navigation (SEAN) and deployed it at scal
Publikováno v:
HRI (Companion)
Robots' spatial positioning is a useful communication modality in social interactions. For example, in the context of group conversations, certain types of positioning signal membership to the group interaction. How does robot embodiment influence th
Autor:
Viola Mocz, Nicole Salomons, Joseph Valdez, Brian Scassellati, Nathan Tsoi, Marynel Vázquez, Joe Connolly
Publikováno v:
HRI
Inspired by the benefits of human prosocial behavior, we explore whether prosocial behavior can be extended to a Human-Robot Interaction (HRI) context. More specifically, we study whether robots can induce prosocial behavior in humans through a 1x2 b
Publikováno v:
HAI
Social navigation research is performed on a variety of robotic platforms, scenarios, and environments. Making comparisons between navigation algorithms is challenging because of the effort involved in building these systems and the diversity of plat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a87c2a7a8c37053bf06f4f532f2f643
Publikováno v:
CVPR
Intersection over Union (IoU) is the most popular evaluation metric used in the object detection benchmarks. However, there is a gap between optimizing the commonly used distance losses for regressing the parameters of a bounding box and maximizing t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07f529af1b5df7e4bead0ec569c1c180