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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2601.18963 |
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| _version_ | 1866910001762664448 |
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| author | Robotics, Fauna : Aldarondo, Diego Pervan, Ana Corbalan, Daniel Petrillo, Dave Dai, Bolun Iyer, Aadhithya Mortensen, Nina Pearson, Erik Arunachalam, Sridhar Pandian Reznick, Emma Weis, David Davison, Jacob Patterson, Samuel Carella, Tess Suguitan, Michael Ye, David Ferro, Oswaldo Suriyarachchi, Nilesh Ling, Spencer Su, Erik Giebisch, Daniel Traver, Peter Fonseca, Sam Mor, Mack Singh, Rohan Guven, Sertac Liu, Kangni Orru, Yaswanth Kumar Batcha, Ashiq Rahman Anwar Ravindranath, Shruthi Arora, Silky Ponte, Hugo Hernandez, Dez Chaudhary, Utsav Walker, Zack Kelberman, Michael Veloz, Ivan Lucia, Christina Santa Casale, Kat Han, Helen Gromis, Michael Mignatti, Michael Reisman, Jason Guerin, Kelleher Narvaez, Dario Anderson, Christopher Moschella, Anthony Cochran, Robert Merel, Josh |
| author_facet | Robotics, Fauna : Aldarondo, Diego Pervan, Ana Corbalan, Daniel Petrillo, Dave Dai, Bolun Iyer, Aadhithya Mortensen, Nina Pearson, Erik Arunachalam, Sridhar Pandian Reznick, Emma Weis, David Davison, Jacob Patterson, Samuel Carella, Tess Suguitan, Michael Ye, David Ferro, Oswaldo Suriyarachchi, Nilesh Ling, Spencer Su, Erik Giebisch, Daniel Traver, Peter Fonseca, Sam Mor, Mack Singh, Rohan Guven, Sertac Liu, Kangni Orru, Yaswanth Kumar Batcha, Ashiq Rahman Anwar Ravindranath, Shruthi Arora, Silky Ponte, Hugo Hernandez, Dez Chaudhary, Utsav Walker, Zack Kelberman, Michael Veloz, Ivan Lucia, Christina Santa Casale, Kat Han, Helen Gromis, Michael Mignatti, Michael Reisman, Jason Guerin, Kelleher Narvaez, Dario Anderson, Christopher Moschella, Anthony Cochran, Robert Merel, Josh |
| contents | Recent advances in learned control, large-scale simulation, and generative models have accelerated progress toward general-purpose robotic controllers, yet the field still lacks platforms suitable for safe, expressive, long-term deployment in human environments. Most existing humanoids are either closed industrial systems or academic prototypes that are difficult to deploy and operate around people, limiting progress in robotics. We introduce Sprout, a developer platform designed to address these limitations through an emphasis on safety, expressivity, and developer accessibility. Sprout adopts a lightweight form factor with compliant control, limited joint torques, and soft exteriors to support safe operation in shared human spaces. The platform integrates whole-body control, manipulation with integrated grippers, and virtual-reality-based teleoperation within a unified hardware-software stack. An expressive head further enables social interaction -- a domain that remains underexplored on most utilitarian humanoids. By lowering physical and technical barriers to deployment, Sprout expands access to capable humanoid platforms and provides a practical basis for developing embodied intelligence in real human environments. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_18963 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Fauna Sprout: A lightweight, approachable, developer-ready humanoid robot Robotics, Fauna : Aldarondo, Diego Pervan, Ana Corbalan, Daniel Petrillo, Dave Dai, Bolun Iyer, Aadhithya Mortensen, Nina Pearson, Erik Arunachalam, Sridhar Pandian Reznick, Emma Weis, David Davison, Jacob Patterson, Samuel Carella, Tess Suguitan, Michael Ye, David Ferro, Oswaldo Suriyarachchi, Nilesh Ling, Spencer Su, Erik Giebisch, Daniel Traver, Peter Fonseca, Sam Mor, Mack Singh, Rohan Guven, Sertac Liu, Kangni Orru, Yaswanth Kumar Batcha, Ashiq Rahman Anwar Ravindranath, Shruthi Arora, Silky Ponte, Hugo Hernandez, Dez Chaudhary, Utsav Walker, Zack Kelberman, Michael Veloz, Ivan Lucia, Christina Santa Casale, Kat Han, Helen Gromis, Michael Mignatti, Michael Reisman, Jason Guerin, Kelleher Narvaez, Dario Anderson, Christopher Moschella, Anthony Cochran, Robert Merel, Josh Robotics Artificial Intelligence Recent advances in learned control, large-scale simulation, and generative models have accelerated progress toward general-purpose robotic controllers, yet the field still lacks platforms suitable for safe, expressive, long-term deployment in human environments. Most existing humanoids are either closed industrial systems or academic prototypes that are difficult to deploy and operate around people, limiting progress in robotics. We introduce Sprout, a developer platform designed to address these limitations through an emphasis on safety, expressivity, and developer accessibility. Sprout adopts a lightweight form factor with compliant control, limited joint torques, and soft exteriors to support safe operation in shared human spaces. The platform integrates whole-body control, manipulation with integrated grippers, and virtual-reality-based teleoperation within a unified hardware-software stack. An expressive head further enables social interaction -- a domain that remains underexplored on most utilitarian humanoids. By lowering physical and technical barriers to deployment, Sprout expands access to capable humanoid platforms and provides a practical basis for developing embodied intelligence in real human environments. |
| title | Fauna Sprout: A lightweight, approachable, developer-ready humanoid robot |
| topic | Robotics Artificial Intelligence |
| url | https://arxiv.org/abs/2601.18963 |