الباحثون

Rahul Shome

المنشورات 2

نسخة أولية وصول مفتوح

Rubix: Global Correspondence-Free Point Set Alignment through Assignment Geometry

Procrustes-Wasserstein alignment jointly estimates a matching and rotation without supplied correspondences, but alternating minimization can stop at suboptimal solutions. Rubix solves the equally weighted planar problem globally under squared Euclidean loss. Each matching $σ$ of two centered $n$-point sets defines a c …

نسخة أولية وصول مفتوح

Asymptotically Optimal Multi-Robot Task and Motion Planning

Multi-robot task and motion planning (MR-TAMP) requires jointly reasoning about discrete task decisions and continuous collision-free motions of multiple interacting robots. Although asymptotically optimal algorithms have been developed for task and motion planning, extending these guarantees to the multi-robot setting …

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