Abstract

Lunar rover development involves a large amount of validation works in realistic operational conditions, including its mechanical subsystem and on-board software. The traditional simulation step is to construct model, input parameters, execute a simulation, and visualize the results. However, a more insight and higher productivity can be achieved if these activities are guided by human simultaneously. In this paper, a human-guided simulation method for China lunar rover simulation environment (CLRSE) that affords real time capabilities with high fidelity has been presented. It studied the input of kinematics simulation, analyzed a quick steering method of complex dynamic interactions between wheel and soft moon ground, and presented a way of path choosing by human guided. And the application which runs on PC Cluster and Silicon Graphics is also developed in this environment.

Highlights

  • In recent years, there has been a growing interest in exploration of the moon among the nations

  • A lunar rover is a kind of detector that loaded with scientific detection instruments and transmits the final probe data back to the earth

  • Compared with the real ground simulation test, to a large extent, computer simulations with the application of virtual reality technology is a high-efficiency, low-cost way that provides a good means of verification for the design and control algorithm optimization

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Summary

INTRODUCTION

There has been a growing interest in exploration of the moon among the nations. NASA Jet Propulsion Laboratory (JPL) researched in different types of lunar rover navigation systems [1, 2], and developed a simulation system called ROAMS [3]. Autonomous navigation is a key technology in lunar rover system, many scholars [5,6,7] presented lots of papers. Today tele-operated robot systems are becoming more and more significant in various aspects of controlling lunar rover. It is often required one human-operator to control several properties of a rover. Few people studied how they effect on robots or rovers when the objects were tele-operated and what parametric should be input.

PREVIOUS WORK
Simulation Modeling of Lunar Rover
Autonomous Navigation based Hybrid Vision
The Framework of Human-guided Simulation
Multi-disciplinary Computing by Human-guided
Kinematics of Lunar Rover by Human-guided
Real-time Response of Constrained Dynamics
Collision Detection
Navigation and Path Planning by Human-guided
Validation of simulation
Prototype of simulation system
Navigation and Path Planning Simulation
CONCLUSIONS

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