Saved in:
Bibliographic Details
Main Authors: Williamson, Avery S., Bennington, Michael J., Sukhnandan, Ravesh, Nakhre, Mrinali, Mao, Yuemin, Webster-Wood, Victoria A.
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2505.24860
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866909629549641728
author Williamson, Avery S.
Bennington, Michael J.
Sukhnandan, Ravesh
Nakhre, Mrinali
Mao, Yuemin
Webster-Wood, Victoria A.
author_facet Williamson, Avery S.
Bennington, Michael J.
Sukhnandan, Ravesh
Nakhre, Mrinali
Mao, Yuemin
Webster-Wood, Victoria A.
contents Many bioinspired robots mimic the rigid articulated joint structure of the human hand for grasping tasks, but experience high-frequency mechanical perturbations that can destabilize the system and negatively affect precision without a high-frequency controller. Despite having bandwidth-limited controllers that experience time delays between sensing and actuation, biological systems can respond successfully to and mitigate these high-frequency perturbations. Human joints include damping and stiffness that many rigid articulated bioinspired hand robots lack. To enable researchers to explore the effects of joint viscoelasticity in joint control, we developed a human-hand-inspired grasping robot with viscoelastic structures that utilizes accessible and bioderived materials to reduce the economic and environmental impact of prototyping novel robotic systems. We demonstrate that an elastic element at the finger joints is necessary to achieve concurrent flexion, which enables secure grasping of spherical objects. To significantly damp the manufactured finger joints, we modeled, manufactured, and characterized rotary dampers using peanut butter as an organic analog joint working fluid. Finally, we demonstrated that a real-time position-based controller could be used to successfully catch a lightweight falling ball. We developed this open-source, low-cost grasping platform that abstracts the morphological and mechanical properties of the human hand to enable researchers to explore questions about biomechanics in roboto that would otherwise be difficult to test in simulation or modeling.
format Preprint
id arxiv_https___arxiv_org_abs_2505_24860
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle PB&J: Peanut Butter and Joints for Damped Articulation
Williamson, Avery S.
Bennington, Michael J.
Sukhnandan, Ravesh
Nakhre, Mrinali
Mao, Yuemin
Webster-Wood, Victoria A.
Robotics
Many bioinspired robots mimic the rigid articulated joint structure of the human hand for grasping tasks, but experience high-frequency mechanical perturbations that can destabilize the system and negatively affect precision without a high-frequency controller. Despite having bandwidth-limited controllers that experience time delays between sensing and actuation, biological systems can respond successfully to and mitigate these high-frequency perturbations. Human joints include damping and stiffness that many rigid articulated bioinspired hand robots lack. To enable researchers to explore the effects of joint viscoelasticity in joint control, we developed a human-hand-inspired grasping robot with viscoelastic structures that utilizes accessible and bioderived materials to reduce the economic and environmental impact of prototyping novel robotic systems. We demonstrate that an elastic element at the finger joints is necessary to achieve concurrent flexion, which enables secure grasping of spherical objects. To significantly damp the manufactured finger joints, we modeled, manufactured, and characterized rotary dampers using peanut butter as an organic analog joint working fluid. Finally, we demonstrated that a real-time position-based controller could be used to successfully catch a lightweight falling ball. We developed this open-source, low-cost grasping platform that abstracts the morphological and mechanical properties of the human hand to enable researchers to explore questions about biomechanics in roboto that would otherwise be difficult to test in simulation or modeling.
title PB&J: Peanut Butter and Joints for Damped Articulation
topic Robotics
url https://arxiv.org/abs/2505.24860