首页|New Robotics Study Findings Reported from University of Wollongong (Multi-object ive Evolutionary Search for Optimal Robotic Process Automation Architectures)
New Robotics Study Findings Reported from University of Wollongong (Multi-object ive Evolutionary Search for Optimal Robotic Process Automation Architectures)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in Robotics. According to news reporting out ofWollongong, Australia, by NewsRx ed itors, research stated, “Robotic Process Automation (RPA) designand implementat ion requires an architecture which facilitates the seamless transition between h umanagents, robotic agents, and intelligent agents to automate information acqu isition tasks and decisionmakingtasks. Coordination of those agents must consi der various factors, such as efficiency of a resourcewhen completing tasks, the quality of completed complex tasks, and the cost of the used resources.”
WollongongAustraliaAustralia and New ZealandEmerging TechnologiesIntelligent AgentsMachine LearningRoboticsRobotsUniversity of Wollongong
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