Industrial Dual-Arm Box Handling via Online Inertial Estimation and Convex Wrench Optimization
Kenzhi Iskandar Wong, Lin Yang, Qian Ying Lee, Domenico Campolo

TL;DR
This paper introduces a real-time dual-arm robotic framework for handling boxes with unknown mass and center of mass, estimating inertial properties online and optimizing contact forces under friction constraints to ensure stable lifting.
Contribution
It presents a novel online inertial estimation method combined with convex wrench optimization for stable dual-arm object handling with unknown properties.
Findings
Successfully lifts objects with unknown inertial properties in real experiments.
Maintains stable frictional contact during handling across different configurations.
Reduces undesired contact through offline trajectory refinement.
Abstract
Industrial robotic object handling often involves boxes and packages whose mass and center of mass are not known in advance. These uncertainties affect the force--moment balance required for stable lifting, and improper regulation of contact wrenches can lead to slip, object drop, orientation deviation, or excessive squeezing. This paper presents a friction-aware dual-arm box-handling framework for objects with unknown inertial properties. The proposed approach estimates the object mass and center of mass online from measured contact wrenches, and computes friction-feasible contact forces and torsional moments through a second-order cone program (SOCP) under ellipsoidal friction-limit-surface constraints. An offline trajectory refinement stage is also included to reduce undesired object--environment contact when geometric constraints are present. By enforcing friction feasibility as a…
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