Paper
7 May 2010 An overview of the 2009 Fort Hood Robotics Rodeo
Seth Norberg
Author Affiliations +
Abstract
The Robotics Rodeo held from 31 August to 3 September 2009 at Fort Hood, Texas, had three stated goals: educate key decision makers and align the robotics industry; educate Soldiers and developers; and perform a live market survey of the current state of technologies to encourage the development of robotic systems to support operational needs. Both events that comprised the Robotics Rodeo, the Extravaganza and the robotic technology observation, demonstration and discussion (RTOD2) addressed these stated goals. The Extravaganza was designed to foster interaction between the vendors and the visitors who included the media, Soldiers, others in the robotics industry and key decision makers. The RTOD2 allowed the vendors a more private and focused interaction with the subject matter experts teams, this was the forum for the vendors to demonstrate their robotic systems that supported the III Corps operational needs statements that are focused on route clearance, convoy operations, persistent stare, and robotic wingman. While the goals of the Rodeo were achieved, the underlying success from the event is the development of a new business model that is focused on collapsing the current model to get technologies into the hands of our warfighters quicker. This new model takes the real time data collection from the Rodeo, the Warfighter Needs from TRADOC, the emerging requirements from our current engagements, and assistance from industry partners to develop a future Army strategy for the rapid fielding of unmanned systems technologies.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Seth Norberg "An overview of the 2009 Fort Hood Robotics Rodeo", Proc. SPIE 7692, Unmanned Systems Technology XII, 76921B (7 May 2010); https://doi.org/10.1117/12.852662
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KEYWORDS
Robotics

Robots

Roads

Databases

Robotic systems

Systems modeling

Data modeling

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