Electronic Resource

Granular Resistive Force Theory Implementation for Three-Dimensional Trajectories

التفاصيل البيبلوغرافية
العنوان: Granular Resistive Force Theory Implementation for Three-Dimensional Trajectories
المؤلفون: Treers, LK, Treers, LK, Cao, C, Stuart, HS
المصدر: IEEE Robotics and Automation Letters; vol 6, iss 2, 1887-1894; 2377-3766
بيانات النشر: eScholarship, University of California 2021-04-01
نوع الوثيقة: Electronic Resource
مستخلص: Modelling interaction forces as bodies intrude into granular media is a longstanding challenge in the design and control of machines that navigate and manipulate these highly complex materials. Granular Resistive Force Theory, or RFT, is a flexible, reduced-order model for predicting intrusion forces on bodies in granular media. 2D RFT describes the forces on a plate whose velocity and normal vectors lie in the same vertical plane. We introduce a 3D RFT method that projects the total velocity vector into two scenarios that can already be described by 2D RFT, which allows us to extend the model into 3D with minimal additional experimental characterization. We then superimpose these independently calculated forces, weighted by experimentally fit scaling factors, to determine the total force on the plate. When applied to discretized convex hulls, this method performs force estimates of arbitrary trajectories in 3D space. The proposed formulation predicts forces experienced by oscillating and circumnutating bodies, motions motivated by mole crab burrowing and plant root growth respectively. This method is well-suited to complement more complex computational tools, such as Discrete Element Method. By expanding the application of RFT to 3D scenarios, a broader set of real-world applications can now be analyzed.
مصطلحات الفهرس: Contact modeling, dynamics, methods and tools for robot system design, Mechanical Engineering, article
URL: https://escholarship.org/uc/item/3w80r8mg
https://escholarship.org/
الاتاحة: Open access content. Open access content
CC-BY
ملاحظة: application/pdf
IEEE Robotics and Automation Letters vol 6, iss 2, 1887-1894 2377-3766
Other Numbers: CDLER oai:escholarship.org:ark:/13030/qt3w80r8mg
qt3w80r8mg
https://escholarship.org/uc/item/3w80r8mg
https://escholarship.org/
1371270040
المصدر المساهم: UC MASS DIGITIZATION
From OAIster®, provided by the OCLC Cooperative.
رقم الانضمام: edsoai.on1371270040
قاعدة البيانات: OAIster