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I-CTRL: Imitation to Control Humanoid Robots Through Constrained Reinforcement Learning
This paper addresses the critical need for refining robot motions that, despite achieving a high visual similarity through human-to-humanoid retargeting methods, fall short of practical execution in the physical realm.
Robot Interaction Behavior Generation based on Social Motion Forecasting for Human-Robot Interaction
Integrating robots into populated environments is a complex challenge that requires an understanding of human social dynamics.
ImitationNet: Unsupervised Human-to-Robot Motion Retargeting via Shared Latent Space
Additionally, we propose a consistency term to build a common latent space that captures the similarity of the poses with precision while allowing direct robot motion control from the latent space.
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