Paper
20 September 2001 Integrating intrinsic mobility into unmanned ground vehicle systems
Chris A. Brosinsky, Steven G. Penzes, Martin G. Buehler, Carl Steeves
Author Affiliations +
Abstract
The ability of an Unmanned Ground Vehicle (UGV) to successfully move about in its environment is enabled by the synergistic combination of perception, control and platform (mobility and utility). Vast effort is being expended on the former technologies but little demonstrable evidence has been produced to indicate that the latter (mobility/utility) has been considered as an integral part of the UGV systems level capability; a concept commonly referred to as intrinsic mobility. While past work described the rationale for hybrid locomotion, this paper aims to demonstrate that integrating intrinsic mobility into a UGV systems mobility element or 'vehicle' will be a key contributor to the magnitude of autonomy that the system can achieve. This paper serves to provide compelling evidence that 1) intrinsic mobility improvements provided by hybrid locomotion configurations offer the best generic mobility, that 2) strict attention must be placed on the optimization of both utility (inherent vehicle capabilities) and mobility and that 3) the establishment of measures of performance for unmanned vehicle mobility is an unmet and latent need.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chris A. Brosinsky, Steven G. Penzes, Martin G. Buehler, and Carl Steeves "Integrating intrinsic mobility into unmanned ground vehicle systems", Proc. SPIE 4364, Unmanned Ground Vehicle Technology III, (20 September 2001); https://doi.org/10.1117/12.440005
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Control systems

Robots

Unmanned ground vehicles

Defense and security

Environmental sensing

Navigation systems

Data modeling

Back to Top