Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.05397 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866918190872788992 |
|---|---|
| author | Chopra, Samarth McMoil, Alex Carnovale, Ben Sokolson, Evan Kubendran, Rajkumar Dickerson, Samuel |
| author_facet | Chopra, Samarth McMoil, Alex Carnovale, Ben Sokolson, Evan Kubendran, Rajkumar Dickerson, Samuel |
| contents | While Vision-Language-Action (VLA) models map visual inputs and language instructions directly to robot actions, they often rely on costly hardware and struggle in novel or cluttered scenes. We introduce EverydayVLA, a 6-DOF manipulator that can be assembled for under $300, capable of modest payloads and workspace. A single unified model jointly outputs discrete and continuous actions, and our adaptive-horizon ensemble monitors motion uncertainty to trigger on-the-fly re-planning for safe, reliable operation. On LIBERO, EverydayVLA matches state-of-the-art success rates, and in real-world tests it outperforms prior methods by 49% in-distribution and 34.9% out-of-distribution. By combining a state-of-the-art VLA with cost-effective hardware, EverydayVLA democratizes access to a robotic foundation model and paves the way for economical use in homes and research labs alike. Experiment videos and details: https://everydayvla.github.io/ |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_05397 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | EveryDayVLA: A Vision-Language-Action Model for Affordable Robotic Manipulation Chopra, Samarth McMoil, Alex Carnovale, Ben Sokolson, Evan Kubendran, Rajkumar Dickerson, Samuel Robotics Computer Vision and Pattern Recognition While Vision-Language-Action (VLA) models map visual inputs and language instructions directly to robot actions, they often rely on costly hardware and struggle in novel or cluttered scenes. We introduce EverydayVLA, a 6-DOF manipulator that can be assembled for under $300, capable of modest payloads and workspace. A single unified model jointly outputs discrete and continuous actions, and our adaptive-horizon ensemble monitors motion uncertainty to trigger on-the-fly re-planning for safe, reliable operation. On LIBERO, EverydayVLA matches state-of-the-art success rates, and in real-world tests it outperforms prior methods by 49% in-distribution and 34.9% out-of-distribution. By combining a state-of-the-art VLA with cost-effective hardware, EverydayVLA democratizes access to a robotic foundation model and paves the way for economical use in homes and research labs alike. Experiment videos and details: https://everydayvla.github.io/ |
| title | EveryDayVLA: A Vision-Language-Action Model for Affordable Robotic Manipulation |
| topic | Robotics Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2511.05397 |