""Stateless systems cannot remember previous incidents or how work actually flows through a site. Our platform builds a shared model of tasks and environments that enables robots to adapt to disruption and complete missions safely without constant supervision.""
""While recent advances in large language models and foundation AI systems have significantly improved robots' ability to perceive and interpret their surroundings, most systems still struggle when environments change.""
Stateful Robotics has secured $4.8 million in pre-seed funding to improve robotic reliability in unpredictable environments. The funding, led by Amadeus Capital Partners and Oxford Science Enterprises, will support the deployment of a platform that enables robots to remember past events and adapt to changing conditions. This 'long-horizon intelligence' allows robots to plan tasks over extended periods. The company aims to create a persistent model of deployment environments, helping robots anticipate challenges and adapt in real time, overcoming limitations of traditional stateless systems.
Read at Business Matters
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