Robotics & Machine Learning Daily News2024,Issue(Feb.12) :11-12.DOI:10.1002/rob.22289

Findings from Mississippi State University Reveals New Findings on Field Robotics (Comparing Real and Simulated Performance for an Off-road Autonomous Ground Vehicle In Obstacle Avoidance)

Robotics & Machine Learning Daily News2024,Issue(Feb.12) :11-12.DOI:10.1002/rob.22289

Findings from Mississippi State University Reveals New Findings on Field Robotics (Comparing Real and Simulated Performance for an Off-road Autonomous Ground Vehicle In Obstacle Avoidance)

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Abstract

Researchers detail new data in Robotics - Field Robotics. According to news reporting originating from Starkville, Mississippi, by NewsRx correspondents, research stated, "This field report presents the results of a study of obstacle detection and avoidance (ODOA) by an autonomous ground vehicle (AGV) in off-road driving conditions. This study included both real and simulated testing of the AGV and served as the third and final phase of a 3-year research project studying the influence of environmental conditions over autonomous driving." Financial supporters for this research include U.S. Army Tank Automotive Research Development & Engineering Center (TARDEC), Automotive Research Center (ARC), US Army Tank Automotive Research, Development and Engineering Center (TARDEC) Warren, MI. Our news editors obtained a quote from the research from Mississippi State University, "We compare and contrast the results of the real and experimental field testing and report our findings on the influence of soft soil in ODOA performance by an AGV. We find that rutting in soft soil results in higher throttle effort but lower steering effort and speed."

Key words

Starkville/Mississippi/United States/North and Central America/Field Robotics/Robotics/Mississippi State University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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