NDLI: Autonomous mobility for areas with large numbers of pedestrians

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Autonomous mobility for areas with large numbers of pedestrians

Content Provider	ACM Digital Library
Author	Lacaze, Alberto Uzunovic, Nenad Murphy, Karl Putney, Joseph
Abstract	Autonomy for small robots is required by the military as end-users demand more uses and versatility for small robots. Unmanned ground vehicles have already proven their usefulness in IED detection and inspection; explosive ordnance disposal (EOD); reconnaissance; communications; handling hazardous materials; security; defense; and rescue. They are now being acquired in ever increasing numbers. Pure tele-operation, the method typically used to operate small robots, is a burden for the operator and does not meet demands for speed, robustness and awareness of surroundings. In addition, new types of platforms are being developed; ones that have a mission to travel close to humans, such as the LS3 (legged squadron based on Big Dog design) and the BEAR (battlefield extraction robot) as stated in the FY2009--2034 OSD Unmanned Systems Integrated Roadmap. Missions are being envisioned where robots will be required to travel alongside soldiers (LS3) as companions, leaders, wing-men or followers. Additional capabilities can be easily envisioned, such as the capability of the robot to track a person, break off from their "pack" and then follow a particular person-of interest. When robots are used as companions to humans, they will require greater autonomy levels and flexible path planning, detection and prediction capabilities. As of now, robots cannot operate in crowds because the software for path planning and obstacle avoidance is not sophisticated enough to work reliably at the speeds required (e.g. the speed of a person walking). The system described in this article will provide functionality to these platforms so that missions among humans can be accomplished safely and effectively.
Starting Page	312
Ending Page	317
Page Count	6
ISBN	9781450302906
DOI	10.1145/2377576.2377633
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-09-28
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Safe operations Autonomous systems Ugvs Sugvs Human/robot teams
Content Type	Text
Resource Type	Article

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