首页|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)
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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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 .”
StarkvilleMississippiUnited StatesNorth and Central AmericaRobotics and AutomationRoboticsMississippi State University
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