Hikrobot builds its pallet movers in three months with RoboSense Helios 16 and MOV.AI
RoboSense and MOV.AI teamed up so makers of autonomous mobile robots can build and run enterprise-grade machines. Hikrobot used the platform with the Helios 16 LiDAR to develop its new Pallet Movers.
At a glance
Results in figures
- Development time
- Three months
- Source: RoboSense
The challenge
According to MOV.AI, autonomous mobile robots were stuck in closed, single-task designs, and ROS lacked many of the tools needed to develop and run enterprise-grade robots. Hikrobot wanted Pallet Movers that would deliver value from day one without disrupting its customers' logistics.
What was done
- MOV.AI added the Helios 16 to the drag-and-drop component library of its development environment and certified its data for use with its navigation and perception algorithms.
- Those algorithms cover 3D SLAM, object detection, risk prevention and area scanning, and customers can also use the Helios 16 to simulate robot behaviour while developing.
- Hikrobot used the navigation and perception algorithms to develop the new Pallet Movers.
Results
- Hikrobot developed the robot in three months, which the article calls a record.
- The article gives no other figures, such as fleet size or performance.
Equipment
RoboSense Helios 16 LiDAR with the MOV.AI Robotics Engine Platform (a ROS-based development environment, algorithm library and fleet management). The Helios 16 is not in our current range; see our RoboSense LiDAR sensors for the models we supply.
About this case study
This use case was published by RoboSense on 2 February 2024; RoboSense products are among those we supply in India. Ecoleap Solutions wrote this summary; figures are as reported by the manufacturer.
Planning a survey, a tender or a new project?
Send us your scope and we will reply with a suitable configuration and a budgetary quote, usually within one working day.