Feeling the Force: A Nuanced Physics-based Traversability Sensor for Navigation in Unstructured Vegetation
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866908468612431872 |
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| author | Khizar, Zaar Laconte, Johann Lenain, Roland Aufrere, Romuald |
| author_facet | Khizar, Zaar Laconte, Johann Lenain, Roland Aufrere, Romuald |
| contents | In many applications, robots are increasingly deployed in unstructured and natural environments where they encounter various types of vegetation. Vegetation presents unique challenges as a traversable obstacle, where the mechanical properties of the plants can influence whether a robot can safely collide with and overcome the obstacle. A more nuanced approach is required to assess the safety and traversability of these obstacles, as collisions can sometimes be safe and necessary for navigating through dense or unavoidable vegetation. This paper introduces a novel sensor designed to directly measure the applied forces exerted by vegetation on a robot: by directly capturing the push-back forces, our sensor provides a detailed understanding of the interactions between the robot and its surroundings. We demonstrate the sensor's effectiveness through experimental validations, showcasing its ability to measure subtle force variations. This force-based approach provides a quantifiable metric that can inform navigation decisions and serve as a foundation for developing future learning algorithms. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_19831 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Feeling the Force: A Nuanced Physics-based Traversability Sensor for Navigation in Unstructured Vegetation Khizar, Zaar Laconte, Johann Lenain, Roland Aufrere, Romuald Robotics Systems and Control In many applications, robots are increasingly deployed in unstructured and natural environments where they encounter various types of vegetation. Vegetation presents unique challenges as a traversable obstacle, where the mechanical properties of the plants can influence whether a robot can safely collide with and overcome the obstacle. A more nuanced approach is required to assess the safety and traversability of these obstacles, as collisions can sometimes be safe and necessary for navigating through dense or unavoidable vegetation. This paper introduces a novel sensor designed to directly measure the applied forces exerted by vegetation on a robot: by directly capturing the push-back forces, our sensor provides a detailed understanding of the interactions between the robot and its surroundings. We demonstrate the sensor's effectiveness through experimental validations, showcasing its ability to measure subtle force variations. This force-based approach provides a quantifiable metric that can inform navigation decisions and serve as a foundation for developing future learning algorithms. |
| title | Feeling the Force: A Nuanced Physics-based Traversability Sensor for Navigation in Unstructured Vegetation |
| topic | Robotics Systems and Control |
| url | https://arxiv.org/abs/2507.19831 |