Robotics & Machine Learning Daily News2024,Issue(Dec.17) :11-11.

Reports on Robotics and Automation from Carnegie Mellon University Provide New I nsights (Robust Preintegrated Wheel Odometry for Off-road Autonomous Ground Vehi cles)

Robotics & Machine Learning Daily News2024,Issue(Dec.17) :11-11.

Reports on Robotics and Automation from Carnegie Mellon University Provide New I nsights (Robust Preintegrated Wheel Odometry for Off-road Autonomous Ground Vehi cles)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Robotics - Ro botics and Automation have been published.According to news reporting originati ng in Pittsburgh, Pennsylvania, by NewsRx journalists, researchstated, “Wheel o dometry is not often used in state estimation for off-road vehicles due to frequ ent wheelslippage, varying wheel radii, and the 3D motion of the vehicle not fi tting with the 2D nature of integratedwheel odometry. This letter attempts to o vercome these issues by proposing a novel 3D preintegration ofwheel encoder mea surements on manifold.”

Key words

Pittsburgh/Pennsylvania/United States/North and Central America/Robotics and Automation/Robotics/Carnegie Mellon U niversity

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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