“Generalizing Natural Behavior: Retargeting Human or Animal Motion to Robotic Forms” by Farshidian, Sleiman, Zhang, Hodgins, Wettstein, et al. …
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Title:
- Generalizing Natural Behavior: Retargeting Human or Animal Motion to Robotic Forms
Description:
SIGGRAPH
Legged robots, particularly humanoids, represent an emerging technology whose widespread acceptance depends on their ability to perform meaningful tasks at the human cadence in the real world. While human motion data can drive progress in this field, it is often sparse and lacks action labels, limiting the effectiveness of supervised learning. Recent advancements in imitation learning, reinforcement learning, and robotic hardware improvements have led to better generalization of natural behaviors in robots. This workshop will bring together leaders in human/animal simulation, control, animation, and robotics to discuss the state-of-the-art techniques for natural motion generation of physics-based characters and robots.
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