The authors trained DTWM to observe 13 video frames and predict the next 36 in one pass.
Touch signals improve predictions of how hands manipulate objects
A video world model predicted human hand motion more accurately when given spatially aligned pressure histories from instrumented gloves.
Top University
Ziyao Zeng · Xiatao Sun · Hao Wang · Yueyang Pan · Zhengxiang Yu · Fengyu Yang · +3 more
Yale University · Texas A&M University · University of California, Los Angeles · University of Washington
Research Digest··2 min read
Zeng et al.
Why this paper
From Yale University and 3 others
In one line
A world model conditioned on tactile signals reduces hand motion underestimation from 23% to 9%.
What we could check
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- ✓Limitations stated by the authors
- ✓Reports numbers on named benchmarks (2 benchmarks)
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