SCU-Hand: Soft Conical Universal Robotic Hand for Scooping Granular Media from Containers of Various Sizes

2025-05-07

AI Summary

In materials science laboratories, automated scooping of powder samples from heterogeneous-sized containers has long been hindered by poor tool adaptability and complex control requirements. This paper introduces SCU-Hand, a flexible conical universal gripper featuring a novel deformable conical soft structure and a purely mechanical, size-adaptive adjustment mechanism. Without relying on force sensing or machine learning, SCU-Hand achieves stable contact and efficient scooping across containers ranging from 67 to 110 mm in diameter. Its design integrates lamellar deformation principles with reconfigurable stiffness modulation, implemented using low-cost elastic materials to simultaneously ensure compliance and operational rigidity. Experimental evaluation demonstrates a ~20% increase in scooping capacity over commercial tools and a success rate exceeding 95%. These results significantly advance the automation of materials experiments toward higher compatibility and lower technical barriers.

Technology Category

• Intelligent Robots: Manipulation
• Search and Optimization: Mixed Discrete/Continuous Search
• Constraint Satisfaction and Optimization: Mixed Discrete/Continuous Optimization

Application Category

• Economics, Online Markets and Human Computation: The sharing economy
• Systems and Infrastructure for Web, Mobile and WoT: Experiences and lessons learnt from Web-based algorithms and system deployments
• Security and Privacy: Large-scale security measurements

Abstract

Automating small-scale experiments in materials science presents challenges due to the heterogeneous nature of experimental setups. This study introduces the SCU-Hand (Soft Conical Universal Robot Hand), a novel end-effector designed to automate the task of scooping powdered samples from various container sizes using a robotic arm. The SCU-Hand employs a flexible, conical structure that adapts to different container geometries through deformation, maintaining consistent contact without complex force sensing or machine learning-based control methods. Its reconfigurable mechanism allows for size adjustment, enabling efficient scooping from diverse container types. By combining soft robotics principles with a sheet-morphing design, our end-effector achieves high flexibility while retaining the necessary stiffness for effective powder manipulation. We detail the design principles, fabrication process, and experimental validation of the SCU-Hand. Experimental validation showed that the scooping capacity is about 20% higher than that of a commercial tool, with a scooping performance of more than 95% for containers of sizes between 67 mm to 110 mm. This research contributes to laboratory automation by offering a cost-effective, easily implementable solution for automating tasks such as materials synthesis and characterization processes.

Problem

• Automating scooping of granular media from diverse containers
• Eliminating complex force sensing in robotic powder handling
• Improving scooping efficiency for materials science experiments

Innovation

• Soft conical structure adapts to containers
• Sheet-morphing design enhances flexibility and stiffness
• Reconfigurable mechanism enables diverse container scooping