MolmoAct 2 is an open, multimodal AI model from Ai2 that combines vision and action. It understands images, follows instructions, and performs tasks in digital and physical environments, enabling autonomous agents and robotics research.
Free
How to use MolmoAct 2?
MolmoAct 2 can be used by researchers and developers to build AI agents that interpret visual data and execute actions. It solves problems like automating GUI interactions, controlling robots via visual cues, and creating systems that learn from both images and commands, bridging the gap between perception and action.
MolmoAct 2 's Core Features
Open-source multimodal model combining vision and action capabilities for transparent research and customization.
Understands complex visual scenes and follows natural language instructions to perform tasks.
Supports both digital environments (e.g., web interfaces) and physical robots for versatile applications.
Built on Ai2's open-first principles, ensuring accessibility for the global research community.
Enables autonomous agents that can navigate interfaces, manipulate objects, and execute multi-step plans.
MolmoAct 2 's Use Cases
Researchers building autonomous agents that can control software interfaces using visual understanding.
Robotics developers training robots to pick and place objects based on image inputs.
Automation engineers creating bots that fill forms or navigate websites without APIs.
Educators demonstrating how AI integrates perception and action in real-world scenarios.
Innovators prototyping smart home systems that respond to visual commands.