Arrobot delivers autonomous navigation software that integrates multi‑modal sensor fusion, real‑time path planning, and edge‑compute telemetry to enable fully self‑driving robots.
Funding
Funding not disclosed
Founders
Product
Problem
Robotic fleets often rely on cloud‑based processing or proprietary navigation stacks, which introduce latency, require extensive integration effort, and limit deployment on standard edge hardware. This hampers the ability of robots to operate autonomously in dynamic logistics and inspection environments.
Solution
Arrobot provides an autonomous navigation software platform that runs entirely on‑device, combining multi‑modal sensor fusion, real‑time path planning, and edge‑compute telemetry. By processing sensor inputs locally, the system delivers low‑latency decision making suitable for rapidly changing surroundings. The software is hardware‑agnostic, supporting standard edge compute modules, and can be integrated with existing robot fleets through a plug‑and‑play interface, enabling rapid deployment of fully self‑driving capabilities across logistics, inspection and other autonomous robot use cases.
Target Audience
Primary customers are manufacturers and operators of autonomous mobile robots in logistics, warehouse automation, and industrial inspection who need reliable, low‑latency navigation without extensive hardware redesign.
Features
- Multi‑modal sensor fusion engine that combines LiDAR, camera, IMU and other inputs for robust environment perception
- Real‑time path planning algorithm optimized for low‑latency execution on edge processors
- On‑device telemetry stack that streams performance metrics and status without reliance on external cloud services
- Hardware‑agnostic runtime compatible with common edge compute platforms (e.g., NVIDIA Jetson, Intel NCS)
- Plug‑and‑play integration layer allowing seamless addition to existing robot control architectures
- Scalable software stack designed for dynamic environments such as warehouses, factories, and infrastructure inspection sites