Learning athletic humanoid tennis skills from imperfect human motion data
LATENT enables the simulation of highly-dynamic tennis rallies by human athletes, showcasing versatile skills in a competitive environment. Developed by researchers from Tsinghua University, Peking University, and other institutions, it utilizes advanced AI techniques for real-time performance.
zzk273.github.io
1 min
3/15/2026
Learning athletic humanoid tennis skills from imperfect human motion data
LATENT enables the simulation of highly-dynamic tennis rallies by human athletes, showcasing versatile skills in a competitive environment. Developed by researchers from Tsinghua University, Peking University, and other institutions, it utilizes advanced AI techniques for real-time performance.
zzk273.github.io
1 min
3/15/2026
Learning athletic humanoid tennis skills from imperfect human motion data
LATENT enables the simulation of highly-dynamic tennis rallies by human athletes, showcasing versatile skills in a competitive environment. Developed by researchers from Tsinghua University, Peking University, and other institutions, it utilizes advanced AI techniques for real-time performance.
zzk273.github.io
1 min
3/15/2026
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