Active Matter as a framework for living systems-inspired Robophysics
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arXiv
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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | |
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| _version_ | 1866910024296562688 |
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| author | Janzen, Giulia Maselli, Gaia Jimenez, Juan F. Garcia-Perez, Lia Fernandez, D A Matoz Valeriani, Chantal |
| author_facet | Janzen, Giulia Maselli, Gaia Jimenez, Juan F. Garcia-Perez, Lia Fernandez, D A Matoz Valeriani, Chantal |
| contents | Robophysics investigates the physical principles that govern living-like robots operating in complex, realworld environments. Despite remarkable technological advances, robots continue to face fundamental efficiency limitations. At the level of individual units, locomotion remains a challenge, while at the collective level, robot swarms struggle to achieve shared purpose, coordination, communication, and cost efficiency. This perspective article examines the key challenges faced by bio-inspired robotic collectives and highlights recent research efforts that incorporate principles from active-matter physics and biology into the modeling and design of robot swarms. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_14624 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Active Matter as a framework for living systems-inspired Robophysics Janzen, Giulia Maselli, Gaia Jimenez, Juan F. Garcia-Perez, Lia Fernandez, D A Matoz Valeriani, Chantal Soft Condensed Matter Artificial Intelligence Robotics Robophysics investigates the physical principles that govern living-like robots operating in complex, realworld environments. Despite remarkable technological advances, robots continue to face fundamental efficiency limitations. At the level of individual units, locomotion remains a challenge, while at the collective level, robot swarms struggle to achieve shared purpose, coordination, communication, and cost efficiency. This perspective article examines the key challenges faced by bio-inspired robotic collectives and highlights recent research efforts that incorporate principles from active-matter physics and biology into the modeling and design of robot swarms. |
| title | Active Matter as a framework for living systems-inspired Robophysics |
| topic | Soft Condensed Matter Artificial Intelligence Robotics |
| url | https://arxiv.org/abs/2511.14624 |