Design, Calibration, and Control of Compliant Force-sensing Gripping Pads for Humanoid Robots
Yuanfeng Han, Boren Jiang, Gregory S. Chirikjian
TL;DR
The paper tackles the challenge of enabling dual-arm manipulation for small, cost-constrained humanoid robots by developing lightweight, compliant force-sensing gripping pads that measure normal grip force and CoP. It introduces a calibration pipeline to improve CoP accuracy and a three-loop hybrid control framework that integrates force control, surface alignment, and CoP-based adjustments, guided by limit surface friction modeling to prevent slippage. Experimental validation on a NAO robot demonstrates stable grip, accurate force/CoP tracking, and reduced slipping compared to force-only control, even with misaligned or tilted box sides. The work offers a practical, low-cost solution with clear pathways for extension to more complex object shapes and rotations, broadening the applicability of small humanoids in manipulation tasks.
Abstract
This paper introduces a pair of low-cost, light-weight and compliant force-sensing gripping pads used for manipulating box-like objects with smaller-sized humanoid robots. These pads measure normal gripping forces and center of pressure (CoP). A calibration method is developed to improve the CoP measurement accuracy. A hybrid force-alignment-position control framework is proposed to regulate the gripping forces and to ensure the surface alignment between the grippers and the object. Limit surface theory is incorporated as a contact friction modeling approach to determine the magnitude of gripping forces for slippage avoidance. The integrated hardware and software system is demonstrated with a NAO humanoid robot. Experiments show the effectiveness of the overall approach.
