Search papers, labs, and topics across Lattice.
4
0
4
17
Pix2Act transforms complex 3D manipulation into a simpler 2D prediction task, leading to significant performance gains and robustness against camera variations.
Task-dependent action frames can enhance robotic manipulation performance, with MoF outperforming traditional single-frame policies in both simulation and real-world applications.
AMP achieves millimeter-level precision in 3D manipulation by transforming action learning into a pixel classification challenge, drastically improving inference speed and success rates.
Skip the expensive robots: HoMMI lets you train whole-body mobile manipulation policies just from human demos, thanks to a clever cross-embodiment design.
