Mobile-Agent, developed by Beijing Jiaotong University and Alibaba Group researchers, is an autonomous multimodal agent for operating diverse mobile applications. It utilizes visual perception to locate elements within app interfaces and autonomously execute tasks, demonstrating effectiveness and efficiency in experiments. This approach eliminates the need for system-specific customizations, making it a versatile solution.
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Mobile-Agent: An Autonomous Multi-Modal Mobile Device Agent
Practical Solutions and Value
Mobile device agents utilizing Multimodal Large Language Models (MLLM) have advanced visual comprehension capabilities, making them suitable for diverse applications, including operating mobile devices based on screen content and user instructions.
Beijing Jiaotong University and Alibaba Group researchers have introduced Mobile-Agent, an autonomous multi-modal mobile device agent that employs visual perception tools to identify and locate visual and textual elements within app interfaces. This vision-centric approach enhances adaptability across diverse mobile operating environments, eliminating the need for system-specific customizations.
The Mobile-Agent framework demonstrates effectiveness and efficiency, achieving high completion rates and relative efficiency compared to human-operated steps. The self-reflective capabilities of Mobile-Agent contribute to its robust performance as a mobile device assistant.
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