Bringing robustness and accuracy to Lidar-SLAM
Lidar-SLAM is the most popular localization method for many mobile robots. It is fast to setup and offers free navigation using the safety lidar. However, lidar-SLAM solutions are well known for losing localization even in common environments in warehouses and factories. This leads to downtime and manual intervention. Also, in many cases additional systems are needed for docking since the lidar provides insufficient accuracy.
These limitations are caused by the working principle. Since it relies on a recognizing features in the environment using a laser scanner, these need to be clear and stable. However, factories and warehouses often include:
- Dynamic environments: due to movement of people and material
- Lacking features: due to large open spaces or long aisles
- Slopes: to transition between floors
- Reflective surfaces: like glass walls
This leads to robots losing localization and getting lost during operation which in turn causes downtime and reduces throughput.
How can we solve it?
Adding Triton to a Lidar SLAM solution adds another dimension, closing the robustness and accuracy gaps that are common today.
Since Triton uses the natural features of the floor to localize, this adds a robust data source to complement Lidar SLAM where it struggles to meet performance targets. This greatly improves reliability and performance of the mobile robot operation, leading to a smoother process and lower costs.
Triton can be used in switched or fused mode, depending on your needs and current system capabilities. Triton integrates easily with several commonly available Lidar SLAM solutions, including ROS AMCL, rtabmap, SICK Lidar-LOC, among others.
Want to know more about how to combine LidarSLAM and Triton? Download our White paper or talk to our sales team.
How will you benefit?
Robust in any environment – No more lost robots
No human intervention – Higher efficiency
Higher operational uptime – Happy customer