🤖 AI Summary
To address poor adaptability and insufficient stability of conventional rigid grippers in disassembling small household appliances with complex curved surfaces, this paper proposes a modular vacuum-based grasping system built upon commercial pneumatic soft grippers. The system achieves adaptive conformal contact with irregular surfaces through synergistic integration of elastic deformation and vacuum suction. We introduce a novel grasp planning framework that jointly incorporates geometric continuity analysis and convex-hull-based static stability criteria, enabling optimized multi-gripper configurations for robust support. Experimental evaluation on screw-removal tasks demonstrates significantly higher success rates compared to rigid grippers, along with markedly improved workpiece placement stability. To our knowledge, this is the first work to deploy pneumatic soft grippers in household appliance disassembly, offering a scalable, hardware-software co-designed solution for stable manipulation of unstructured curved objects.
📝 Abstract
The disassembly of small household appliances poses significant challenges due to their complex and curved geometries, which render traditional rigid fixtures inadequate. In this paper, we propose a modular vacuum-based fixturing system that leverages commercially available balloon-type soft grippers to conform to arbitrarily shaped surfaces and provide stable support during screw-removal tasks. To enable a reliable deployment of the system, we develop a stability-aware planning framework that samples the bottom surface of the target object, filters candidate contact points based on geometric continuity, and evaluates support configurations using convex hull-based static stability criteria. We compare the quality of object placement under different numbers and configurations of balloon hands. In addition, real-world experiments were conducted to compare the success rates of traditional rigid fixtures with our proposed system. The results demonstrate that our method consistently achieves higher success rates and superior placement stability during screw removal tasks.