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Matching papers

Xiaomi-Robotics-1: Scaling Vision-Language-Action Models with over 100K Hours of Real-World Trajectories

59 upvotes · 16 JUL 2026 · Xiaomi Robotics Team, Jun Guo, Piaopiao Jin et al.

This paper introduces a vision-language-action model that can perform mobile manipulation tasks in unseen environments with minimal training data, and how it can be scaled up to achieve better performance. Practitioners might care about this model for building robots that can adapt to new tasks with minimal fine-tuning.

vision-language-action modelscontinual learningroboticsaction generationtrajectory dataauto-labeling

Robostral Navigate

8 upvotes · 22 JUL 2026 · Arjun Majumdar, Avinash Sooriyarachchi, Benjamin Tibi et al.

This paper introduces Robostral Navigate, a vision-language model that enables robots to navigate using only a single monocular RGB camera, making it more scalable and cost-effective for deployment across various robotic platforms. Practitioners might care about this because it can simplify navigation tasks for robots in real-world environments.

continual learningvision-language modelsmonocular visionroboticsreinforcement learning

JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models

4 upvotes · 17 JUL 2026 · Haoran Sun, Wentao Zhang, Junyang Hua et al.

This paper develops a service-oriented framework, JoyNexus, to efficiently train and deploy Vision-Language-Action models across multiple tenants, improving resource utilization and reducing costs. Practitioners may care about JoyNexus for its potential to streamline the training process and make VLA models more accessible.

vision-language-action modelscontinual learningmulti-tenant computingroboticsaccelerated computing services

Masked Visual Actions for Unified World Modeling

4 upvotes · 21 JUL 2026 · Hadi Alzayer, Wenlong Huang, Haonan Chen et al.

This paper develops a new way to control video models, allowing them to understand how objects move in the world and how robots interact with them, which can be useful for robots that need to perform tasks in real-world environments. Practitioners in robotics and AI may care about this work because it could improve the ability of robots to understand and interact with their surroundings.

roboticsworld modelingvisual controlmanipulationpixel-space interfaces