ROJan 13, 2021

Modeling and Analysis of Unmanned Remote Guided Vehicle on Rough and Loose Snow Terrain

arXiv:2101.04952v1
Originality Synthesis-oriented
AI Analysis

This addresses the need for compact, low-risk transportation in snow-bounded areas, particularly for military and survival purposes, though it appears incremental as it builds on existing vehicle designs with specific modifications.

The researchers tackled the problem of unsafe transportation in remote snow areas by designing an unmanned vehicle with spiral blades and a V-shaped snowplow to navigate loose snow and rough terrain, capable of carrying up to 35 kg load for medical and essential supplies.

Survival in remote snow bounded areas is unsafe and risky for mankind. Many problems like arthritis, frostbite, asthma, starvation can caused and lead to death. Indian Military provides transportation vehicles which are heavily built and needs manpower for monitoring. Hence it necessitates facilitating compact transportation to fulfill all requirements. This research aimed at design and analysis of mobile unmanned vehicle for transportation & providing medical help, food and other essential things necessary for surviving in such areas. This can also be used for military services to save the life of solider with less risk. It is typical medium weight, high speed vehicle which carries up to 35 kg load and can negotiate through loose snow, rough terrain with use of caterpillar track. The noteworthy feature of the vehicle is that it constitutes of spiral blades and V shape snowplow to make its way through snow. Hence it will repel the snow in outward direction for self-extraction. It also incorporates skis and hubs for changing the direction and smooth suspension. 3D model of the vehicle is drafted in CATIA and structural analysis is carried out in ANSYS. Control system design and mechatronics integration is proposed to develop the prototype by assembling various components.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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