首页|New Findings from Incheon National University Describe Advances in Robotics (End -to-End Path Planning Under Linear Temporal Logic Specifications)
New Findings from Incheon National University Describe Advances in Robotics (End -to-End Path Planning Under Linear Temporal Logic Specifications)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on robotics are presented i n a new report. According to news reporting from Incheon, South Korea, by NewsRx journalists, research stated, “This paper presents a novel deep learning framew ork for robotic path planning that seamlessly integrates Linear Temporal Logic ( LTL) with trajectory optimization to meet mission specifications efficiently.” Funders for this research include Incheon National University Research Grant, in 2023; National Research Foundation of Korea; Korean Government.
Incheon National University, Incheon, So uth Korea, Asia, Emerging Technologies, Machine Learning, Robotics, Robots