VR-LM30E

Industrial Grade Clearing Power

The VR-LM30E is engineered for the toughest “back-breaking” clearing jobs. At its heart lies a 4700W high-torque motor driving a heavy-duty blade system at 3800 RPM. Unlike standard mowers, this machine is a true “Land Clearer,” capable of breaking down thick branches and dense vegetation. The automatic lifting system, with a 0-20cm range, allows operators to adjust the deck height on the fly to match the density of the brush, ensuring a thorough clearing in a single pass.

Conquering the Unreachable Slopes

Traditional land management on slopes is both dangerous and inefficient. The VR-LM30E changes the game with its 18cm wide tracks and low center of gravity, allowing it to climb inclines up to 60°. Powered by dual 2000W walking motors, it delivers relentless traction on unstable soil, forest floors, and mountain ridges. The integration of cruise control and infinitely variable speed (0-1.5m/s) ensures that the machine maintains consistent performance even on the most challenging vertical landscapes.

New Energy for Maximum ROI

Efficiency in the field is defined by uptime. Equipped with a 30kWh CATL Lithium Iron Phosphate (LiFePO4) battery, the VR-LM30E provides an industry-leading 8-10 hours of continuous work. For professional contractors, the “Dual Charge” system replenishes the battery in just 6 hours, ensuring the machine is ready for the next day’s shift. By eliminating the costs of diesel, filters, and complex engine maintenance, the VR-LM30E significantly lowers the total cost of ownership while meeting the strictest environmental regulations.

Precision Control & Safety

Safety is paramount in heavy-duty operations. The VR-LM30E utilizes the Mike C7 professional remote system, offering a 200m range and an ultra-fast 50ms response time. This allows the operator to control the 705kg machine from a safe vantage point, away from falling branches or unstable ground. With the optional RTK unmanned navigation, the machine can even perform autonomous tasks in repetitive environments like solar farms or highway embankments, further reducing labor dependency and human risk.