QDTraj: Exploration of Diverse Trajectory Primitives for Articulated Objects Robotic Manipulation

ArXi:2604.22551v1 Announce Type: cross Thanks to the latest advances in learning and robotics, domestic robots are beginning to enter homes, aiming to execute household chores autonomously. However, robots still struggle to perform autonomous manipulation tasks in open-ended environments. In this context, this paper presents a method that enables a robot to manipulate a wide spectrum of articulated objects. In this paper, we automatically generate different robot low-level trajectory primitives to manipulate given object articulations.