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Lifelike Agility and Play on Quadrupedal Robots using Reinforcement Learning and Generative Pre-trained Models
In this work, we propose a framework for driving legged robots act like real animals with lifelike agility and strategy in complex environments.
Domain Adaptation Gaze Estimation by Embedding with Prediction Consistency
In domain adaption, we design an embedding representation with prediction consistency to ensure that the linear relationship between gaze directions in different domains remains consistent on gaze space and embedding space.
Learning End-to-End Action Interaction by Paired-Embedding Data Augmentation
In recognition-based action interaction, robots' responses to human actions are often pre-designed according to recognized categories and thus stiff.
Attention-Oriented Action Recognition for Real-Time Human-Robot Interaction
Despite the notable progress made in action recognition tasks, not much work has been done in action recognition specifically for human-robot interaction.
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