Hesai JT128 Lidar Enables CoreFlex AMR to Navigate Dynamic 3PL Warehouses
Thoro.ai's CoreFlex autonomous pallet mover uses Hesai's JT128 3D lidar to continuously map changing warehouse environments without re-mapping.
128
60 m
189°
What Happened
In a live 3PL distribution center, floor plans change weekly, rack extensions appear overnight, and workers and machines share aisles unpredictably. Most autonomous systems fail when the environment doesn't match the map, but Thoro.ai's CoreFlex AMR, powered by the Hesai JT128 lidar, never stops mapping. It builds a probabilistic map that continuously updates, treating environmental change as the baseline.
“easy to work around”
- Map once, navigate against static reference; re-map required when environment changes.
- Continuously builds probabilistic map, ages out stale data, treats walls as permanent and everything else as provisional
360° × 189°degrees
Provides coverage of ground, frontal, and overhead detection from a single unit, eliminating sensor fusion gaps.
Why this matters
The JT128's wide field of view and high-resolution point cloud allow AMRs to operate in real-world 3PL facilities where layouts change daily, eliminating the need to modify the environment for automation.
Terms in This Story
- 3PL
- Third-party logistics; a provider that manages warehousing and distribution for other companies.
- AMR
- Autonomous mobile robot; a robot that navigates and executes tasks without human intervention.
- LiDAR
- Light Detection and Ranging; a sensor that uses laser pulses to create a 3D point cloud of the environment.
- SLAM
- Simultaneous Localization and Mapping; a technique used by robots to build a map while tracking their location within it.
Summarised from the linked release; details can be imperfect — always verify against the original source.