What survives the move into production?
Which research result have you implemented, and what changed outside the benchmark?
What makes a useful contribution?
- Credit the original paper and its authors.
- Explain the implementation and data constraints.
- Separate measured outcomes from expectations.
Research
1 contributionsHumanoidMimicGen: data generation for humanoid robot learning
Jim Fan · NVIDIANVIDIA lists this work on generating loco-manipulation data using whole-body planning. Its author list credits Kevin Lin, Ajay Mandlekar, Caelan Garrett, Nikita Cherniadev, Yu Fang, Runyu Ding, Yuqi Xie, Justin Tran, Linxi (Jim) Fan, and Yuke Zhu. The official record identifies an ICRA 2026 synthetic-data workshop publication.
The directory checked the publication record and coauthorship. It has not reproduced the method, assessed robot safety, or established production deployment. This artifact represents collaborative research, not a sole-author result.
Implementation
0 contributionsThe implementation perspective is open
Help connect this mission to relevant work. Every contribution begins with a source.
Explanation
0 contributionsThe explanation perspective is open
Help connect this mission to relevant work. Every contribution begins with a source.