首页|Findings from Jiangsu University Advance Knowledge in Robotics (Kinematic Constr ained RRT Algorithm with Post Waypoint Shift for the Shortest Path Planning of W heeled Mobile Robots)

Findings from Jiangsu University Advance Knowledge in Robotics (Kinematic Constr ained RRT Algorithm with Post Waypoint Shift for the Shortest Path Planning of W heeled Mobile Robots)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Research findings on robotics are discussed in a new report. According to news reporting out ofZhenjiang, People’s Republic of C hina, by NewsRx editors, research stated, “This paper presents a rapidlyexplori ng random tree (RRT) algorithm with an effective post waypoint shift, which is s uitable for thepath planning of a wheeled mobile robot under kinematic constrai nts.”

Jiangsu UniversityZhenjiangPeople’s Republic of ChinaAsiaAlgorithmsEmerging TechnologiesMachine LearningNa no-robotRobotics

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Nov.18)