الملخص
Rapid adaptation to a new environment requires a robot to acquire useful knowledge about local objects, states, and interactions from limited experience. Systems that combine a reasoning agent with a frozen vision-language-action model (VLA) can adapt through execution feedback and memory, making the choice of experience central to their effectiveness. Repeated practice of a target task may refine a familiar solution while leaving other interactions relevant to changed conditions untested. We introduce ProactiveVLA, which uses proactive environment exploration to acquire reusable knowledge for deployment-time adaptation. After completing an initial task, the agent allocates the remaining interaction budget to self-proposed goals covering object affordances, state-changing interactions, and compositions of interactions. It verifies execution outcomes and consolidates both task-directed and exploratory experience into memory that guides subsequent planning and control. ProactiveVLA outperforms the baselines under the same turn budget on LIBERO-Pro and RoboCasa365 Composite-Seen. On LIBERO-Pro Goal-T, with at most one VLA primitive invocation allowed during evaluation, ProactiveVLA completes 48% of instances, compared with 19% for the state-of-the-art task-refinement baseline.
الكلمات المفتاحية
الموضوع
بيانات النشر
- المجلة
- غير متاح
- وصول مفتوح
- وصول مفتوح أخضر
اقتبس هذه المقالة
APA 7
Tian, S., Luo, H., Li, Y., Song, Y., Liu, Y., & Li, Y. (2026). ProactiveVLA: Augmenting Embodied Memory through Proactive Environment Exploration. https://omanscience.com/ar/articles/proactivevla-augmenting-embodied-memory-through-proactive-environment-exploration
MLA 9
Tian, Shizuo, et al. "ProactiveVLA: Augmenting Embodied Memory through Proactive Environment Exploration." https://omanscience.com/ar/articles/proactivevla-augmenting-embodied-memory-through-proactive-environment-exploration.
شيكاغو (المؤلف–التاريخ)
Tian, Shizuo, Haodong Luo, Yutong Li, Yuebing Song, Yunxin Liu, and Yuanchun Li. 2026. "ProactiveVLA: Augmenting Embodied Memory through Proactive Environment Exploration." https://omanscience.com/ar/articles/proactivevla-augmenting-embodied-memory-through-proactive-environment-exploration.
هارفارد
Tian, S., Luo, H., Li, Y., Song, Y., Liu, Y. and Li, Y. (2026) 'ProactiveVLA: Augmenting Embodied Memory through Proactive Environment Exploration', Available at: https://omanscience.com/ar/articles/proactivevla-augmenting-embodied-memory-through-proactive-environment-exploration.
فانكوفر
Tian S, Luo H, Li Y, Song Y, Liu Y, Li Y. ProactiveVLA: Augmenting Embodied Memory through Proactive Environment Exploration. https://omanscience.com/ar/articles/proactivevla-augmenting-embodied-memory-through-proactive-environment-exploration
IEEE
S. Tian, H. Luo, Y. Li, Y. Song, Y. Liu, and Y. Li, "ProactiveVLA: Augmenting Embodied Memory through Proactive Environment Exploration," https://omanscience.com/ar/articles/proactivevla-augmenting-embodied-memory-through-proactive-environment-exploration.