Nov 20, 2019 · We propose an iterative process of local learning (in the robots) and global consensus (in the cloud) that still preserves the benefits of learning from the ...
An iterative process of local learning in the robots and global consensus in the cloud that still preserves the benefits of learning from the crowd but when ...
Service robots at homes or works are expected to upload data that can be used by companies to fix the controllers and improve robot behaviours.
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Learning from the Individuals and the Crowd in Robotics and Mobile Devices ; ISSN · 2194-5365, ; ISBN · 9783030361495 ; Year of publication · 2020 ; Volume · 1093 AISC.
Learning from the Individuals and the Crowd in Robotics and Mobile Devices ; ISSN · 2194-5365, ; ISBN · 9783030361495 ; Ano de publicación · 2020 ; Volume · 1093 AISC.
Nov 27, 2023 · A new technique enables an AI agent to be guided by data crowdsourced asynchronously from nonexpert human users as it learns to complete a ...
Learning from the individuals and the crowd in robotics and mobile devices. FE Casado, D Lema, R Iglesias, CV Regueiro, S Barro. Robot 2019: Fourth Iberian ...
Sep 14, 2023 · TRI has developed a capability, powered by recent advancements in generative AI, that enables teaching robots new manipulation abilities in a single afternoon.
Feb 10, 2020 · We first train a graph convolutional network based on human gaze data that accurately predicts human attention to different agents in the crowd ...
Nov 28, 2018 · The purpose of this article is to review the recent developments in robotics that can be used in learning and for performing educational tasks.