The Norwegian Defence Research Establishment has developed and evaluated a modular autonomy stack on its Milrem Themis unmanned ground vehicle, named Tor, to enhance off-road navigation capabilities. This system integrates perception, motion planning, and trajectory tracking to navigate without predefined paths or satellite positioning, aiming to reduce operator workload during tactical military operations.
Testing conducted across diverse benchmark routes revealed that while the platform successfully traverses open fields and wide dirt roads, it struggles in complex environments like dense forests. These trials highlighted critical limitations in semantic terrain classification and robust decision-making under challenging conditions. Currently, the system's navigation choices are occasionally influenced by randomness rather than consistent reasoning, preventing immediate operational deployment. Nevertheless, this research establishes a repeatable evaluation methodology and a foundational framework for future iterations. Ongoing development aims to achieve reliable, fully autonomous UGV operations in highly demanding and contested physical environments.
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