Research
GPA: Vision-Based GUI Process Automation Replays Complex Workflows From a Single Demo
GPA (GUI Process Automation) offers a deterministic alternative to VLM-based GUI agents by replaying complex workflows from a single demonstration using Sequential Monte Carlo-based visual localization. Unlike VLM agents that suffer from non-deterministic failures, GPA provides guaranteed reliability with readiness checks and fallback mechanisms. Achieves robust replay across rescaling and detection uncertainty — practical for teams wanting RPA without the flakiness of pure AI agents.
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