首页|Reports Outline Robotics Study Results from Carnegie Mellon University (Decompos ition-based Hierarchical Task Allocation and Planning for Multi-robots Under Hie rarchical Temporal Logic Specifications)
Reports Outline Robotics Study Results from Carnegie Mellon University (Decompos ition-based Hierarchical Task Allocation and Planning for Multi-robots Under Hie rarchical Temporal Logic Specifications)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Robotics have been published. According to news reportingfrom Pittsburgh, Pennsylvania, by N ewsRx journalists, research stated, “Past research into robotic planningwith te mporal logic specifications, notably Linear Temporal Logic (LTL), was largely ba sed on a singleformula for individual or groups of robots. But with increasing task complexity, LTL formulas unavoidablygrow lengthy, complicating interpretat ion and specification generation, and straining the computationalcapacities of the planners.”
PittsburghPennsylvaniaUnited StatesNorth and Central AmericaEmerging TechnologiesMachine LearningNano-robotRoboticsCarnegie Mellon University
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