Sunseeker Robot
by ROBOTIC MOWER TECHNOLOGY
Smart lawn mower, Bluetooth remote control, Map editing, Scheduled tasks
App Name | Sunseeker Robot |
---|---|
Developer | ROBOTIC MOWER TECHNOLOGY |
Category | Tools |
Download Size | 101 MB |
Latest Version | 1.0.6 |
Average Rating | 0.00 |
Rating Count | 0 |
Google Play | Download |
AppBrain | Download Sunseeker Robot Android app |
This App is a mobile terminal application for the smart lawn mower and needs to be used with the smart lawn mower.
By binding the App and the smart lawn mower, you can use the following functions:
1. You can create robot working areas, restricted areas, channels, etc. by remotely controlling the smart lawn mower via Bluetooth.
2. You can remote control the smart lawn mower for work and recharging.
3. You can edit created maps, manage work areas, create safe areas and virtual restricted areas, etc.
4. You can check the working status of the smart lawn mower, robot power, Bluetooth and Wi-Fi connection status, etc. in real time.
5. You can schedule the smart lawn mower and reserve the robot working time.
Recent changes:
1. Added Slovak, Japanese, Lithuanian, Estonian, Latvian, and Bulgarian languages
2. Added new models
3. Added map creation learning and complex scene prompts
4. Optimized some features and user interaction experience
5. Fixed known bugs
By binding the App and the smart lawn mower, you can use the following functions:
1. You can create robot working areas, restricted areas, channels, etc. by remotely controlling the smart lawn mower via Bluetooth.
2. You can remote control the smart lawn mower for work and recharging.
3. You can edit created maps, manage work areas, create safe areas and virtual restricted areas, etc.
4. You can check the working status of the smart lawn mower, robot power, Bluetooth and Wi-Fi connection status, etc. in real time.
5. You can schedule the smart lawn mower and reserve the robot working time.
Recent changes:
1. Added Slovak, Japanese, Lithuanian, Estonian, Latvian, and Bulgarian languages
2. Added new models
3. Added map creation learning and complex scene prompts
4. Optimized some features and user interaction experience
5. Fixed known bugs