Backward Layout Search for Sequence-Constrained Robotic Assembly

2026-08-18

AI Summary

为解决机器人装配布局规划中的碰撞问题，提出了一种基于反向搜索的方法BLS，通过逆序分配初始部件姿态并进行多种检查，有效减少了评估次数和搜索时间。

Abstract

Robotic assembly layout planning must determine the assembly site and the initial pose of each part while ensuring collision-free execution of a prescribed assembly sequence. This problem is challenging because the obstacle environment changes after each assembly step, and unassembled parts re maining in the workspace may block robot motions. We observe that the feasibility of each assembly step depends only on the initial poses of the current and later-assembled parts. Based on this dependency, we propose Backward Layout Search (BLS), which assigns initial part poses in reverse assembly order. Each expansion performs geometric, kinematic, grasp, and prescribed-motion checks, while collision masks and candidate set filtering remove infeasible initial part pose candidates. Promising partial layouts are retained through beam selection, and complete layouts are validated by full motion planning in forward assembly order. Experiments on five assembly models show that BLS produces collision-free executable layouts and reduces step evaluations and search time compared with a matched forward search.

Problem

• robotic assembly
• layout planning
• collision-free execution
• assembly sequence
• workspace

Innovation

• Backward Layout Search
• assembly sequence
• collision-free
• initial part poses
• beam selection