Data on Robotics and Automation Detailed by Researchers at Mississippi State Uni versity (On the Optimality, Stability, and Feasibility of Control Barrier Functi ons: an Adaptive Learning-based Approach)

Robotics & Machine Learning Daily News2024，Issue(Mar.15) ：29-30.

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Data on Robotics and Automation Detailed by Researchers at Mississippi State Uni versity (On the Optimality, Stability, and Feasibility of Control Barrier Functi ons: an Adaptive Learning-based Approach)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Robotics - Roboti cs and Automation are discussed in a new report. According to news reporting ori ginating in Starkville, Mississippi, by NewsRx journalists, research stated, “Sa fety has been a critical issue for the deployment of learning-based approaches i n real-world applications. To address this issue, control barrier function (CBF) and its variants have attracted extensive attention for safety-critical control .”

Key words

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

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出版年

2024

Robotics & Machine Learning Daily News

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