Paper
2 September 2004 Improved mobility in a multi-degree-of-freedom unmanned ground vehicle
Michael R. Blackburn, Richard Bailey, Brent Lytle
Author Affiliations +
Abstract
Mandelbrot, through his analysis of Fractals (Mandelbrot, 1977), has shown that the complexity of the physical geometry of nature is similar at all scales. This implies that a robot of fixed dimensions will always be too big to get through some passageways, and too small to get over some other obstacles. However, as others have demonstrated, increasing the number of the vehicle’s motion degrees of freedom (dof) may permit it to change its conformation and dimensions, affording to it a greater range of environmental dimensionality through which it may move. This paper contains a description of our multi dof unmanned ground vehicle (UGV), including the variety of basic behaviors of which it is capable. Our UGV is a six-dof, sensor-rich small mobile robot composed of three segments -- a central core and two tracked pods. The rotations of the pod tracks are the primary mobility mode (2-dof) of the vehicle. The pods are attached to the core at opposite ends, each by a single "L" axle that rotates through 180 degrees (2-dof), serving to improve balance and leverage. The pods can rotate 360 degrees about their end of the axle (2-dof) providing increased mobility over obstacles. The UGV in compact form is 17.6" long, 16.2" wide, and 4.6" tall, but can extend to 49" long to climb over obstacles or cross chasms, or rise to 16" high to straddle low obstacles. In its extended mode its maximum width is 9.5" permitting it to squeeze through an opening of that size. The UGV can independently draw in its two outer pods to grasp and longitudinally traverse horizontal pipes or logs or travel within a narrow culvert.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael R. Blackburn, Richard Bailey, and Brent Lytle "Improved mobility in a multi-degree-of-freedom unmanned ground vehicle", Proc. SPIE 5422, Unmanned Ground Vehicle Technology VI, (2 September 2004); https://doi.org/10.1117/12.544715
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CITATIONS
Cited by 11 scholarly publications.
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KEYWORDS
Sensors

Infrared sensors

Unmanned ground vehicles

Process control

Video

Fractal analysis

Magnetic sensors

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