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Learning athletic humanoid tennis skills from imperfect human motion data

Hacker News / 3/16/2026

💬 OpinionModels & Research

Key Points

  • The article discusses methods for teaching athletic humanoid tennis skills from imperfect human motion data.
  • It highlights how noise and incompleteness in real-world motion data pose challenges for training robotic athletes.
  • The work suggests a learning framework that can cope with data imperfections to enable robust control of humanoid agents in tennis tasks.
  • Links to the LATENT project page and a Hacker News discussion are provided for readers to explore the approach in detail.

Article URL: https://zzk273.github.io/LATENT/

Comments URL: https://news.ycombinator.com/item?id=47388273

Points: 102

# Comments: 16