Interdisciplinary Workshop on Mechanical Intelligence: Summary Report
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| Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2026
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| author | Webster-Wood, Victoria A. Gravish, Nicholas Alavi, Amir Arrieta, Andres F Bergbreiter, Sarah Bloch, Anthony Blumenschein, Laura Cao, C. Chase Carter, Aja Mia Celli, Paolo Chen, Tony Coad, Margaret Cutkosky, Mark Dickey, Michael Do, Brian Full, Robert Haghshenas-Jaryani, Mahdi Jayaram, Kaushik Johnson, Aaron Kanso, Eva Lejeune, Emma Li, Chen Li, Suyi Lipton, Jeffrey MacCurdy, Rob McHenry, Matt Mongeau, Jean-Michel Murphey, Todd Plecnik, Mark Raney, Jordan Sochol, Ryan D. Stuart, Hannah Temel, Zeynep Tolley, Michael Trimmer, Barry Wallin, T. J. Wang, Kon-Well Yan, Wenzhong Yim, Mark Zhang, Wenlong |
| author_facet | Webster-Wood, Victoria A. Gravish, Nicholas Alavi, Amir Arrieta, Andres F Bergbreiter, Sarah Bloch, Anthony Blumenschein, Laura Cao, C. Chase Carter, Aja Mia Celli, Paolo Chen, Tony Coad, Margaret Cutkosky, Mark Dickey, Michael Do, Brian Full, Robert Haghshenas-Jaryani, Mahdi Jayaram, Kaushik Johnson, Aaron Kanso, Eva Lejeune, Emma Li, Chen Li, Suyi Lipton, Jeffrey MacCurdy, Rob McHenry, Matt Mongeau, Jean-Michel Murphey, Todd Plecnik, Mark Raney, Jordan Sochol, Ryan D. Stuart, Hannah Temel, Zeynep Tolley, Michael Trimmer, Barry Wallin, T. J. Wang, Kon-Well Yan, Wenzhong Yim, Mark Zhang, Wenlong |
| contents | This report provides a summary of the outcomes of the Interdisciplinary Workshop on Mechanical Intelligence held in 2024. Mechanical Intelligence (MI) represents the phenomenon that novel structural features of material/biological/robotic systems can encode intelligence through responsiveness, adaptivity, memory, and learning in the mechanical structure itself. This is in contrast to computational intelligence, wherein the intelligence functions occur through electrical signaling and computer code. The two-day workshop was held at NSF headquarters on May 30-31 and included 38 invited academic researcher participants, and 8 program officers from the NSF. The workshop was structured around active small and large group discussions in groups of 4-5 and 9-10 with the goal of addressing topical questions on MI. Working groups entered notes into shared presentation slides for each discussion session and presented their outcomes in a final presentation on the last day. Here we summarize the overall outcomes of the workshop. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_16381 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Interdisciplinary Workshop on Mechanical Intelligence: Summary Report Webster-Wood, Victoria A. Gravish, Nicholas Alavi, Amir Arrieta, Andres F Bergbreiter, Sarah Bloch, Anthony Blumenschein, Laura Cao, C. Chase Carter, Aja Mia Celli, Paolo Chen, Tony Coad, Margaret Cutkosky, Mark Dickey, Michael Do, Brian Full, Robert Haghshenas-Jaryani, Mahdi Jayaram, Kaushik Johnson, Aaron Kanso, Eva Lejeune, Emma Li, Chen Li, Suyi Lipton, Jeffrey MacCurdy, Rob McHenry, Matt Mongeau, Jean-Michel Murphey, Todd Plecnik, Mark Raney, Jordan Sochol, Ryan D. Stuart, Hannah Temel, Zeynep Tolley, Michael Trimmer, Barry Wallin, T. J. Wang, Kon-Well Yan, Wenzhong Yim, Mark Zhang, Wenlong Robotics This report provides a summary of the outcomes of the Interdisciplinary Workshop on Mechanical Intelligence held in 2024. Mechanical Intelligence (MI) represents the phenomenon that novel structural features of material/biological/robotic systems can encode intelligence through responsiveness, adaptivity, memory, and learning in the mechanical structure itself. This is in contrast to computational intelligence, wherein the intelligence functions occur through electrical signaling and computer code. The two-day workshop was held at NSF headquarters on May 30-31 and included 38 invited academic researcher participants, and 8 program officers from the NSF. The workshop was structured around active small and large group discussions in groups of 4-5 and 9-10 with the goal of addressing topical questions on MI. Working groups entered notes into shared presentation slides for each discussion session and presented their outcomes in a final presentation on the last day. Here we summarize the overall outcomes of the workshop. |
| title | Interdisciplinary Workshop on Mechanical Intelligence: Summary Report |
| topic | Robotics |
| url | https://arxiv.org/abs/2604.16381 |