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Southwest Research Institute developed an Autonomous Ground Vehicle (AGV) capable of navigating in urban environments. The paper first gives an overview of hardware and software onboard the vehicle. The systems onboard are classified into perception, intelligence, and command and control modules to mimic a human driver. Perception deals with sensing from the world and translating it into situation awareness. This awareness is then fed into intelligence modules. Intelligence modules take inputs from the user to understand the need to navigate from its current location to another destination and, then, generate a path between them on urban, drivable surfaces using its internal urban database. Situational awareness helps intelligence to update the path in real time by avoiding any static/moving obstacles while following traffic rules.

Progress on the development of active suspension for improving mobility of rough terrain vehicles is being hindered by the potentially high energy requirements. A unique regenerative active suspension system has been conceived and is being developed to provide active suspension with very low energy requirements. Regenerative active suspension consists of multiple variable displacement pumps, each controlling flow to and from hydro-pneumatic struts to control a vehicle's low frequency body motions. When fluid is returned from a strut to a pump, energy is recovered or “regenerated” so that the total energy requirement is very low. This paper presents the results of a study showing the potential of the regenerative active suspension system to improve vehicle control and ride comfort of rough terrain vehicles enhancing mobility while requiring very little additional energy.