Virtual Reality (VR) based training simulators are successfully employed in many industries
(eg, aviation) to help train operators and professionals in a safe environment. The …

A multiscale model for real-time simulation of terrain dynamics is explored. To represent the
dynamics on different scales the model combines the description of soil as a continuous …

This work presents a deep reinforcement learning-based approach to train controllers for the
autonomous loading of ore piles with a Load-Haul-Dump (LHD) machine. These controllers …

This paper describes a novel tele-operation and training device for walking excavators
based on a compact 3DOF motion platform. Thanks to an innovative setup optimized for high …

Force predictions of soil-tool interaction using the Discrete Element Method (DEM) are
widely established. In addition to an acceptable prediction quality, the efficient simulation of …

We investigate how employing model learning methods in concert with model predictive
control (MPC) can be used to automate obstacle reduction to mitigate risks to Combat …

This chapter presents a simulator for disaster response robots based on the Choreonoid
framework. Two physics engines and a graphics engine were developed and integrated into …

La transicion hacia una miner´´ ıa subterranea cada vez m´ as profunda requiere
automatizar la ma-´ quinaria para poder operar en condiciones demasiado peligrosas para …

Remote controlled robotic vehicles are expensive and require high maintenance. In an effort
to reduce costs of training human operators for an anti-terrorism ground vehicle we …

Improving the training of heavy equipment operators can make a significant contribution to
improving the safety of construction sites. In recent years, Virtual Reality (VR)-based …