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| Natura: | Preprint |
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2025
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| Accesso online: | https://arxiv.org/abs/2507.11623 |
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| author | Papalia, Alan Dawson, Charles Anton, Laurentiu L. Bayomi, Norhan Magdy Champenois, Bianca Cho, Jung-Hoon Cai, Levi DelPreto, Joseph Edwards, Kristen Githinji, Bilha-Catherine Hickert, Cameron Jayawardana, Vindula Kramer, Matthew Raghavan, Shreyaa Russell, David Salimi, Shide Shi, Jingnan Sudhakar, Soumya Wang, Yanwei Wang, Shouyi Carlone, Luca Kumar, Vijay Rus, Daniela Fernandez, John E. Wu, Cathy Kantor, George Young, Derek Singh, Hanumant |
| author_facet | Papalia, Alan Dawson, Charles Anton, Laurentiu L. Bayomi, Norhan Magdy Champenois, Bianca Cho, Jung-Hoon Cai, Levi DelPreto, Joseph Edwards, Kristen Githinji, Bilha-Catherine Hickert, Cameron Jayawardana, Vindula Kramer, Matthew Raghavan, Shreyaa Russell, David Salimi, Shide Shi, Jingnan Sudhakar, Soumya Wang, Yanwei Wang, Shouyi Carlone, Luca Kumar, Vijay Rus, Daniela Fernandez, John E. Wu, Cathy Kantor, George Young, Derek Singh, Hanumant |
| contents | Climate change is one of the defining challenges of the 21st century, and many in the robotics community are looking for ways to contribute. This paper presents a roadmap for climate-relevant robotics research, identifying high-impact opportunities for collaboration between roboticists and experts across climate domains such as energy, the built environment, transportation, industry, land use, and Earth sciences. These applications include problems such as energy systems optimization, construction, precision agriculture, building envelope retrofits, autonomous trucking, and large-scale environmental monitoring. Critically, we include opportunities to apply not only physical robots but also the broader robotics toolkit - including planning, perception, control, and estimation algorithms - to climate-relevant problems. A central goal of this roadmap is to inspire new research directions and collaboration by highlighting specific, actionable problems at the intersection of robotics and climate. This work represents a collaboration between robotics researchers and domain experts in various climate disciplines, and it serves as an invitation to the robotics community to bring their expertise to bear on urgent climate priorities. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_11623 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Roadmap for Climate-Relevant Robotics Research Papalia, Alan Dawson, Charles Anton, Laurentiu L. Bayomi, Norhan Magdy Champenois, Bianca Cho, Jung-Hoon Cai, Levi DelPreto, Joseph Edwards, Kristen Githinji, Bilha-Catherine Hickert, Cameron Jayawardana, Vindula Kramer, Matthew Raghavan, Shreyaa Russell, David Salimi, Shide Shi, Jingnan Sudhakar, Soumya Wang, Yanwei Wang, Shouyi Carlone, Luca Kumar, Vijay Rus, Daniela Fernandez, John E. Wu, Cathy Kantor, George Young, Derek Singh, Hanumant Robotics Artificial Intelligence Machine Learning Systems and Control Climate change is one of the defining challenges of the 21st century, and many in the robotics community are looking for ways to contribute. This paper presents a roadmap for climate-relevant robotics research, identifying high-impact opportunities for collaboration between roboticists and experts across climate domains such as energy, the built environment, transportation, industry, land use, and Earth sciences. These applications include problems such as energy systems optimization, construction, precision agriculture, building envelope retrofits, autonomous trucking, and large-scale environmental monitoring. Critically, we include opportunities to apply not only physical robots but also the broader robotics toolkit - including planning, perception, control, and estimation algorithms - to climate-relevant problems. A central goal of this roadmap is to inspire new research directions and collaboration by highlighting specific, actionable problems at the intersection of robotics and climate. This work represents a collaboration between robotics researchers and domain experts in various climate disciplines, and it serves as an invitation to the robotics community to bring their expertise to bear on urgent climate priorities. |
| title | A Roadmap for Climate-Relevant Robotics Research |
| topic | Robotics Artificial Intelligence Machine Learning Systems and Control |
| url | https://arxiv.org/abs/2507.11623 |