Spatially distributed biomimetic compliance enables robust anthropomorphic robotic manipulation

Abstract The impressive capabilities of humans to robustly perform manipulation stems from compliant interactions, enabled by the structure and materials distributed in the hands. We propose that mimicking this spatially distributed compliance in an anthropomorphic robotic hand enhances open-loop ma...

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Main Authors: Kai Junge, Josie Hughes
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Communications Engineering
Online Access:https://doi.org/10.1038/s44172-025-00407-4
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author Kai Junge
Josie Hughes
author_facet Kai Junge
Josie Hughes
author_sort Kai Junge
collection DOAJ
description Abstract The impressive capabilities of humans to robustly perform manipulation stems from compliant interactions, enabled by the structure and materials distributed in the hands. We propose that mimicking this spatially distributed compliance in an anthropomorphic robotic hand enhances open-loop manipulation robustness and leads to human-like behaviors. Here we introduce the ADAPT Hand, equipped with configurable compliant elements on the skin, fingers, and wrist. After quantifying the effect of compliance on individual components against a rigid configuration, we experimentally analyze the performance of the full hand. Through automated pick-and-place tests, we show the grasping robustness mirrors the estimated geometric theoretical limit, while stress-testing the robot to perform 800+ grasps. Finally, 24 items with varying geometries are grasped in a constrained environment with a 93% success rate. We demonstrate that the hand-object self-organization behavior, driven by passive adaptation, underpins this robustness. The hand exhibits different grasp types based on object geometries, with a 68% similarity to natural human grasps.
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spelling doaj-art-fa83330dc13b4b2abb326217deb522ac2025-08-20T03:14:06ZengNature PortfolioCommunications Engineering2731-33952025-04-014111310.1038/s44172-025-00407-4Spatially distributed biomimetic compliance enables robust anthropomorphic robotic manipulationKai Junge0Josie Hughes1CREATE Lab, EPFLCREATE Lab, EPFLAbstract The impressive capabilities of humans to robustly perform manipulation stems from compliant interactions, enabled by the structure and materials distributed in the hands. We propose that mimicking this spatially distributed compliance in an anthropomorphic robotic hand enhances open-loop manipulation robustness and leads to human-like behaviors. Here we introduce the ADAPT Hand, equipped with configurable compliant elements on the skin, fingers, and wrist. After quantifying the effect of compliance on individual components against a rigid configuration, we experimentally analyze the performance of the full hand. Through automated pick-and-place tests, we show the grasping robustness mirrors the estimated geometric theoretical limit, while stress-testing the robot to perform 800+ grasps. Finally, 24 items with varying geometries are grasped in a constrained environment with a 93% success rate. We demonstrate that the hand-object self-organization behavior, driven by passive adaptation, underpins this robustness. The hand exhibits different grasp types based on object geometries, with a 68% similarity to natural human grasps.https://doi.org/10.1038/s44172-025-00407-4
spellingShingle Kai Junge
Josie Hughes
Spatially distributed biomimetic compliance enables robust anthropomorphic robotic manipulation
Communications Engineering
title Spatially distributed biomimetic compliance enables robust anthropomorphic robotic manipulation
title_full Spatially distributed biomimetic compliance enables robust anthropomorphic robotic manipulation
title_fullStr Spatially distributed biomimetic compliance enables robust anthropomorphic robotic manipulation
title_full_unstemmed Spatially distributed biomimetic compliance enables robust anthropomorphic robotic manipulation
title_short Spatially distributed biomimetic compliance enables robust anthropomorphic robotic manipulation
title_sort spatially distributed biomimetic compliance enables robust anthropomorphic robotic manipulation
url https://doi.org/10.1038/s44172-025-00407-4
work_keys_str_mv AT kaijunge spatiallydistributedbiomimeticcomplianceenablesrobustanthropomorphicroboticmanipulation
AT josiehughes spatiallydistributedbiomimeticcomplianceenablesrobustanthropomorphicroboticmanipulation