Adaptive Autonomy for Robotic Applications
Elevate your robotics with AI that learns, adapts, and outperforms with no human hand-holding required
Our dynamic neural models deliver truly autonomous capabilities, not just automation.
On-device learning brings lightning-fast intelligence exactly where you need it.
Dramatically less power and fewer resources. AI that thrives in the most demanding environments.
Our dynamic neural models enable fundamental robotic behaviors like adaptive task switching, environment monitoring, navigation, and emergency operations to be performed fully autonomously without constant human oversight, surpassing traditional rule-based control systems in performance and flexibility.
Initiate or adjust autonomous operations based on environmental cues or minimal human input, allowing robots to seamlessly transition between tasks or operating modes.
Conduct stationary monitoring and mobile surveying in dynamic environments, enabling observation, image and video capture, and more.
Robust subroutines for emergency landing, automated docking, and fail-safe system shutdown, activatable under critical conditions or system anomalies
Utilize a combination of visual, inertial, and other sensor inputs for operation in diverse environments, including those with limited or unreliable external positioning data.
Customizable autonomy frameworks supporting a wide range of industry-specific requirements and functionalities (e.g., advanced sensor fusion, pick-and-place, complex manipulation tasks)