The Free Energy Minimizing (FEM) world model was deployed in drones to showcase autonomous AI behavior, enabling flexible mission planning and human-machine teaming.
The company collaborates with Germany’s Federal Agency for Disruptive Innovation to test machines’ ability to handle unexpected environments and challenges that limit classic autonomous systems.
Humans and animals use vision deliberatively and unlike computers, they use eye movements to scan around an image to determine the best data to resolve uncertainty.
The role involves designing and implementing probabilistic inference and control architectures for robotic platforms using active inference and embodied cognition principles.
The company develops unmanned platforms for adaptive, goal-directed behavior in dynamic environments, combining AI, neuroscience-inspired computation, control theory, and embodied intelligence.
Stanhope AI applies Active Inference to create autonomous decision-making systems with human-like explainability and reliability, addressing limitations in contemporary AI.
Stanhope AI applies Active Inference to create autonomous decision-making systems with human-like explainability and reliability, addressing limitations in contemporary AI.
