MarobotAI provides an edge‑deployed, interpretable AI platform that enables service and delivery robots to navigate faster in crowded public spaces while maintaining strict safety and privacy.
Funding
Funding not disclosed
Founders
Product
Problem
Robots operating in crowded public spaces must balance speed with safety, but existing navigation systems often require cloud processing, lack interpretability, and cannot guarantee real-time performance, limiting their usefulness in dynamic human environments.
Solution
MarobotAI offers an edge‑deployed, interpretable artificial intelligence platform that enables robots to navigate faster while maintaining strict safety standards around people. The system runs locally on the robot’s hardware, preserving privacy and eliminating dependence on external cloud services. By providing transparent decision‑making insights, the AI builds human trust and supports closer human‑robot interactions. Its lightweight architecture ensures real‑time operation even in densely populated areas, delivering both speed and reliability without compromising safety.
Target Audience
Primary customers are manufacturers of service and delivery robots, as well as enterprises deploying autonomous mobile robots in public venues such as malls, airports, and hospitals.
Features
- Edge‑native inference engine that processes sensor data locally with minimal latency
- Interpretable AI models that expose reasoning behind navigation decisions for operator trust
- Safety‑first motion planning that enforces collision avoidance constraints in crowded settings
- Optimized computational footprint allowing deployment on resource‑constrained robot hardware
- Privacy‑preserving design that avoids transmitting raw sensor data to external servers