Adaptive Unknown Object Rearrangement Using Low-Cost Tabletop Robot
Chun-Yu Chai,Wen-Hsiao Peng,Shiao-Li Tsao,Chun-Yu Chai,Wen-Hsiao Peng,Shiao-Li Tsao
Studies on object rearrangement planning typically consider known objects. Some learning-based methods can predict the movement of an unknown object after single-step interaction, but require intermediate targets, which are generated manually, to achieve the rearrangement task. In this work, we propose a framework for unknown object rearrangement. Our system first models an object through a small-...
