Why does GOAT no longer avoid obstacles?
Atnaujinta 2026/01/26
GOAT primarily uses its front AI camera to identify obstacles for visual avoidance. The AI camera lacks human-like stereoscopic vision, relying solely on a single lens for recognition. Taller objects on the ground may be misjudged as distant, failing to trigger avoidance and causing collisions. We are continuously optimizing the AI recognition model through training to improve accuracy. If you find the mower still fails to detect certain obstacles, we recommend setting up a No-Entry zone for a better user experience.
Additional Considerations:
1. AI visual obstacle avoidance performance may be affected in low light, bright sunlight, or rainy conditions.
2. Uneven ground surfaces may reduce obstacle avoidance accuracy.
3. AI obstacle avoidance must be manually enabled in the app.
4. Recognition accuracy for suspended or low-lying objects depends on grass conditions, object density, color, and other factors.
5. Visual obstacle avoidance cannot detect obstacles on the sides or rear of the GOAT.
6. We recommend setting No-Entry zones around areas prone to getting stuck and near valuable items.
7. Operation is not supported in low-light conditions.
Additional Considerations:
1. AI visual obstacle avoidance performance may be affected in low light, bright sunlight, or rainy conditions.
2. Uneven ground surfaces may reduce obstacle avoidance accuracy.
3. AI obstacle avoidance must be manually enabled in the app.
4. Recognition accuracy for suspended or low-lying objects depends on grass conditions, object density, color, and other factors.
5. Visual obstacle avoidance cannot detect obstacles on the sides or rear of the GOAT.
6. We recommend setting No-Entry zones around areas prone to getting stuck and near valuable items.
7. Operation is not supported in low-light conditions.