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Research PaperResearchia:202608.27071

When Obstacles Bend: Modeling Vegetation Deformation in the context of Field Robotics

Muhammad Hsaeeb Zaar Khizar

Abstract

Autonomous robots operating in natural environments must often interact with vegetation rather than simply avoid it. In this context, traversability is typically defined from the robot's perspective, by measuring how a specific platform responds when moving through the environment. While practical, this viewpoint entangles the assessment of the environment with the robot's own dynamics, making the resulting characterization difficult to transfer across different platforms. More importantly, it d...

Submitted: August 27, 2026Subjects: Robotics; Robotics

Description / Details

Autonomous robots operating in natural environments must often interact with vegetation rather than simply avoid it. In this context, traversability is typically defined from the robot's perspective, by measuring how a specific platform responds when moving through the environment. While practical, this viewpoint entangles the assessment of the environment with the robot's own dynamics, making the resulting characterization difficult to transfer across different platforms. More importantly, it does not directly reflect the properties of the vegetation itself, which are the true source of interaction and potential damage in applications such as agriculture and environmental monitoring. To address this limitation, we propose to characterize vegetation through its intrinsic mechanical properties, independently of any specific robot. By combining deformation measurements with contact force data, we estimate the underlying mechanical parameters and reconstruct the vegetation's response to interaction. This enables vegetation-aware navigation based on intrinsic environmental properties rather than platform-dependent metrics.


Source: arXiv:2608.26050v1 - http://arxiv.org/abs/2608.26050v1 PDF: https://arxiv.org/pdf/2608.26050v1 Original Link: http://arxiv.org/abs/2608.26050v1

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Date:
Aug 27, 2026
Topic:
Robotics
Area:
Robotics
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