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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.
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 ...
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May 17, 2020 · Autonomous Drones for Crowd Control and Border Security - Autonomous drones with AI enabled behaviour recognition and infrared capabilities ...
Feb 12, 2024 · In this paper, we present a literature survey of the works on socially aware robot navigation in the past 10 years.
Jul 26, 2024 · For a robot to exhibit socially acceptable behavior, it must not only be guided by social norms but also view humans as individuals and adapt to ...
“Crowds have a different dynamic than individual people, and you may have to learn something totally different if you see five people walking together,” Everett ...