4 papers
ScrewSplat: An End-to-End Method for Articulated Object Recognition
Seungyeon Kim, Junsu Ha, Young Hun Kim +2
Articulated object recognition -- the task of identifying both the geometry and kinematic joints of objects with movable parts -- is essential for enabling robots to interact with…
Differentiable Motion Manifold Primitives for Reactive Motion Generation under Kinodynamic Constraints
Yonghyeon Lee
Real-time motion generation -- which is essential for achieving reactive and adaptive behavior -- under kinodynamic constraints for high-dimensional systems is a crucial yet challe…
DreamGrasp: Zero-Shot 3D Multi-Object Reconstruction from Partial-View Images for Robotic Manipulation
Young Hun Kim, Seungyeon Kim, Yonghyeon Lee +1
Partial-view 3D recognition -- reconstructing 3D geometry and identifying object instances from a few sparse RGB images -- is an exceptionally challenging yet practically essential…
Motion Manifold Flow Primitives for Task-Conditioned Trajectory Generation under Complex Task-Motion Dependencies
Yonghyeon Lee, Byeongho Lee, Seungyeon Kim +1
Effective movement primitives should be capable of encoding and generating a rich repertoire of trajectories -- typically collected from human demonstrations -- conditioned on task…