From SiliconANGLE · Devony Hof · · 50s
Spranic builds spatial memory for physical AI
Spranic creates spatial memory layer for robots to adapt to physical environments.
In brief
Spranic creates spatial memory layer for robots to adapt to physical environments. Spranic develops spatial memory technology to help robots interpret changing physical spaces using knowledge graphs. Originally reported by SiliconANGLE.
Spranic's spatial memory layer
Spranic builds spatial memory for physical AI to help robots interpret changing environments.
“Robots deserve the right context at the right time across domains”
Physical AI needs context
Physical AI requires context about surroundings to adapt beyond fixed instructions.
Jordi Spranger explains
Jordi Spranger says robots need reusable spatial context to reduce task-specific planning.
“But for robots, maps are a really big part”
Knowledge graphs help
Knowledge graphs connect data sources while preserving provenance for auditable decisions.
“At the end of the day, a lot of domains have to come together and graphs are really good at connecting domains”
Physical AI adaptation
Spranic aims to bring spatial memory from digital agents to physical world applications.
The key point
Spranic develops spatial memory technology to help robots interpret changing physical spaces using knowledge graphs.
