🤖 AI Summary
This work addresses the high cost and structural complexity of conventional six-degree-of-freedom force/torque sensors, which hinder their adoption in low-cost robotic systems. The authors propose a fully 3D-printed, compliant end-effector that relies solely on off-the-shelf components, leveraging antagonistic springs and magnetic encoders to achieve high-precision force/torque sensing with calibration-free deployment. Its key innovation lies in a parameterizable, planar mechanical design integrated with a lightweight sequential neural network that fuses analytical modeling, substantially reducing cost while maintaining bandwidth and accuracy. The prototype achieves ±14.4 N in force and ±0.33 N·m in torque per axis, exhibiting a 99th-percentile error of 7% full-scale without calibration—reduced to 3.8% after optimization—and demonstrates robust performance in contact-intensive tasks such as curved-surface polishing and interference-fit assembly.
📝 Abstract
This paper presents Delta6, a low-cost, six-degree-of-freedom (6-DOF) force/torque end-effector that combines antagonistic springs with magnetic encoders to deliver accurate wrench sensing while remaining as simple to assemble as flat-pack furniture. A fully 3D-printed prototype, assembled entirely from off-the-shelf parts, withstands peak forces above +/-14.4 N and torques of +/-0.33 N.m per axis; these limits can be further extended by leveraging the proposed parametric analytical model. Without calibration, Delta6 attains a 99th-percentile error of 7% full scale (FS). With lightweight sequence models, the error is reduced to 3.8% FS by the best-performing network. Benchmarks on multiple computing platforms confirm that the device's bandwidth is adjustable, enabling balanced trade-offs among update rate, accuracy, and cost, while durability, thermal drift, and zero-calibration tests confirm its robustness. With Delta6 mounted on a robot arm governed by a force-impedance controller, the system successfully performs two contact-rich tasks: buffing curved surfaces and tight assemblies. Experiments validate the design, showing that Delta6 is a robust, low-cost alternative to existing 6-DOF force sensing solutions. Open-source site: https://wings-robotics.github.io/delta6 .