Dilruba Sultan Haliloglu

SeGMan: Sequential and Guided Manipulation Planner for Robust Planning in 2D Constrained Environments

In this paper, we present SeGMan, a hybrid motion planning framework that integrates sampling-based and optimization-based techniques with a guided forward search to address complex, constrained sequential manipulation challenges, such as pick-and-place puzzles. SeGMan incorporates an adaptive subgo