Chuancheng 6Pcs Replacement Spare Parts Accessories Kit For Lubluelu SG60 SL60D SL61 Robot Vacuum Cleaner 1 Main Brush 2 Side Brushes 2 Hepa Filters 1 Cleaning Brush

• Compatibility: Main side brush Hepa filter kit for Lubluelu SG60 SL60D SL61 robot vacuum cleaner. Replacement accessories set is made of high-quality materials, more durable and highly match with the original machine.
• Uniquely designed main brushes with rubber treads to adapt to different floor surfaces that remove everything from small dust to large deposits.
• Side brush allows your vacuum cleaner to reach deeper into the carpet for a more thorough cleaning. Filter filters fine dust to reduce dust and other allergens from penetrating into the air you breathe.
• As part of normal maintenance, it can be easily removed and replaced.It is best to replace spare parts every 2 to 3 months to keep the machine running at its best performance.
• Package Contents: 1 x roller brush, 2 x side brushes, 2 x hepa filters, 1 x cleaning brush. Only the above package content, other products are not included.

Features: 100% brand new and high quality.Made of high-quality materials, more durable. Side brush allows your vacuum cleaner to reach deeper into the carpet for a more thorough cleaning. Filter filters fine dust to reduce dust and other allergens from penetrating into the air you breathe. Uniquely designed main brushes with rubber treads to adapt to different floor surfaces that remove everything from small dust to large deposits. As part of normal maintenance, it can be easily removed and replaced.It is best to replace spare parts every 2 to 3 months to keep the machine running at its best performance. Material: Plastic Color: As shown Package Contents: 1 x roller brush 2 x side brushes 2 x hepa filters 1 x cleaning brush Only the above package content, other products are not included. Note: 1. Light reflection and different displays may cause the color of the item in the picture a little different from the real thing. 2. Please allow slight manual measurement deviation for the data.