DSWAM: Dual-System World Action Model for Fine Robotic Manipulation

DSWAM combines a WAM executor and a VLA planner for fine robotic manipulation. Optimized with TensorRT, it offers a fair VLA vs WAM comparison in robots

martes, 7 de julio de 2026 • 2 min read • Q2BSTUDIO Team

DSWAM: Dual planning and execution for robots

Fine robotic manipulation has advanced significantly with the incorporation of world action models, which allow robots to learn complex tasks through simulation and video prediction. The DSWAM (Dual-System World Action Foundation Model) approach introduces an innovative architecture that combines an automatic action executor (System 1) with a visual language-based subtask planner (System 2). This addresses the need to break down general instructions into executable steps, a key challenge in multi-objective domestic environments. While System 1 acts as the default control pathway, System 2 is only activated when decomposition is required, optimizing resources and enabling efficient real-time execution. This model not only improves precision in manipulation tasks but also opens the door to practical applications in industrial automation and service robotics.

In this context, the integration of advanced artificial intelligence becomes essential for companies seeking to implement customized robotic solutions. Q2BSTUDIO, as a software and technology development company, offers custom software services that allow these world action models to be adapted to specific use cases. The combination of AI agents with cloud platforms such as AWS and Azure, along with robust cybersecurity strategies, ensures secure and scalable deployments. Additionally, business intelligence, through tools like Power BI, facilitates the analysis of data generated by robots, optimizing processes and decision-making. At Q2BSTUDIO, we understand that digital transformation requires comprehensive solutions, from implementing business intelligence services to process automation, all under a custom application approach that responds to the real needs of each organization.

The advancement toward dual systems like DSWAM demonstrates that the future of robotics depends not only on more powerful algorithms but also on the ability to integrate different cognitive capabilities into a single framework. Our experience in AI for companies allows us to advise on the adoption of these technologies, ensuring that complex models like world action models become practical and accessible tools. With AWS and Azure cloud services, we guarantee the necessary infrastructure to train and execute these systems, while cybersecurity solutions protect critical data. Thus, from Q2BSTUDIO, we accompany companies in the implementation of innovations that transform the way they interact with the physical world.

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