Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on robotics are disc ussed in a new report. According to news reporting from Qingdao, People's Republ ic of China, by NewsRx journalists, research stated, "The artificial potential Field (APF) is an important method for robot path planning." Funders for this research include Key Research And Development Project of Shando ng Province. The news journalists obtained a quote from the research from College of Transpor tation: "However, some information in APF is not fully utilized in practical app lications. In this paper, an improved artificial potential field (IAPF) method i s presented, in which the local path information is defined and used. And the ca lculation formulas for various forces in IAPF are given, which include repulsive force (R-force) of obstacle on the robot, the attractive force (A-force) of tar get on the robot, and the resultant force of R-force and A-force. Then, based on the local path information, a method for solving the robot fAlling into local o ptimality problem is proposed and used into IAPF. FinAlly, IAPF is respectively simulated and discussed in general scenario, complex scenario, and scenarios wit h the same and different size of circular obstacles. The results show that IAPF has higher efficiency than traditional artificial potential field (TAPF) method and can overcome the local optimality problem."
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