Mini-AGV is a low cost and small volume AGV with AI algorithm. With Mini-AGV, you can reduce your human resource and increase productivity.
- Embedding system: nvidia nano
- Motor: robotis mx-106 x 4
- Lidar: Slamtec M1M1
- Battery: ELLMAX 5800mAh x 2
- Max velocity: 0.3 m/s
- Max Load: 30kgw
- Install Microk8s and kubelet CRI change to docker.
- Set Docker default runtime to nvidia docker runtime.
- Lable master node agent=master and all agv nodes agent=agv
- Set apiserver flag --allow-privileged=true
- Deploy configmaps, storage/master and master.yaml.
- Set Jetson nano username to agv for mount path and desktop name to agv1, agv2, ... agvN for ros.
- Disable nano power_save (sudo iw dev wlan0 set power_save off).
- Disable swap permanently.(sudo swapoff -a && sudo sed -i.bak '/ swap / s/^(.*)$/#\1/g' /etc/fstab)
- Install Microk8s and disable ha-cluster
- Deployment storage/agv and agv.yaml.
- tf
- map.stcm path (Dockerfile & AGV.cpp)
Email: axyz1350@gmail.com
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