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CM Labs' Wheel Loader Simulation Training Pack teaches trainees advanced earthmoving skills

CM Labs wheel loader training simulator

CM Labs Simulations is offering a new Wheel Loader Simulation Training Pack for learning advanced earthmoving techniques. Guided learning features in this pack help operating trainees acquire skills faster.

The trainee receives guided learning in the form of real-time feedback. Metrics include distance from objects, traction and terrain height. CM Labs says that it also integrates the industry's only real-time Grade Quality Sensor (GQS). The GQS tracks key metrics such as height, slope and standard deviation.

This feedback allows trainees to make the adjustments needed in order to advance their learning more quickly, and ultimately develop positive habits that will carry over into the real equipment.

CM Labs says that its soil simulation is the most advanced on the market, resulting in highly realistic bucket/ground interactions. This is critical for training operators how to position the bucket properly and understand the machine's capacity.

Advanced earthmoving techniques include learning how to ensure that the dump truck's driving path is even and clear of any obstacles that might cause it to tip.

The training pack immerses trainees in a challenging environment that encourages them to change tools depending on the task. This means trainees must learn the proper usage of the wheel loader's quick coupler. This is a critical component of training as it teaches them to avoid accidental release of the bucket during operations.

The Wheel Loader Training Pack tracks all operating metrics during training exercises, and rolls them up into a single score that updates in real time. Organisations can customize this scoring system to take their most important operating criteria into consideration. This in turn gives instructors a benchmark for objectively assessing operators after every training session in order to meet training objectives quicker.

Company info

645 Wellington, #301
Montréal, QC
CA, H3C 1T2


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