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| Autori principali: | , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2504.13127 |
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| _version_ | 1866909583983771648 |
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| author | Ketchum, Jake Avtges, James Schlafly, Millicent Young, Helena Kim, Taekyoung Truby, Ryan L. Murphey, Todd D. |
| author_facet | Ketchum, Jake Avtges, James Schlafly, Millicent Young, Helena Kim, Taekyoung Truby, Ryan L. Murphey, Todd D. |
| contents | Many soft robots struggle to produce dynamic motions with fast, large displacements. We develop a parallel 6 degree-of-freedom (DoF) Stewart-Gough mechanism using Handed Shearing Auxetic (HSA) actuators. By using soft actuators, we are able to use one third as many mechatronic components as a rigid Stewart platform, while retaining a working payload of 2kg and an open-loop bandwidth greater than 16Hz. We show that the platform is capable of both precise tracing and dynamic disturbance rejection when controlling a ball and sliding puck using a Proportional Integral Derivative (PID) controller. We develop a machine-learning-based kinematics model and demonstrate a functional workspace of roughly 10cm in each translation direction and 28 degrees in each orientation. This 6DoF device has many of the characteristics associated with rigid components - power, speed, and total workspace - while capturing the advantages of soft mechanisms. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_13127 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Force and Speed in a Soft Stewart Platform Ketchum, Jake Avtges, James Schlafly, Millicent Young, Helena Kim, Taekyoung Truby, Ryan L. Murphey, Todd D. Robotics Many soft robots struggle to produce dynamic motions with fast, large displacements. We develop a parallel 6 degree-of-freedom (DoF) Stewart-Gough mechanism using Handed Shearing Auxetic (HSA) actuators. By using soft actuators, we are able to use one third as many mechatronic components as a rigid Stewart platform, while retaining a working payload of 2kg and an open-loop bandwidth greater than 16Hz. We show that the platform is capable of both precise tracing and dynamic disturbance rejection when controlling a ball and sliding puck using a Proportional Integral Derivative (PID) controller. We develop a machine-learning-based kinematics model and demonstrate a functional workspace of roughly 10cm in each translation direction and 28 degrees in each orientation. This 6DoF device has many of the characteristics associated with rigid components - power, speed, and total workspace - while capturing the advantages of soft mechanisms. |
| title | Force and Speed in a Soft Stewart Platform |
| topic | Robotics |
| url | https://arxiv.org/abs/2504.13127 |