首页|Research Results from Tamkang University Update Understanding of Robotics (Multi -Robot Navigation System Design Based on Proximal Policy Optimization Algorithm)

Research Results from Tamkang University Update Understanding of Robotics (Multi -Robot Navigation System Design Based on Proximal Policy Optimization Algorithm)

扫码查看
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - New research on robotics is the subject of a new report. According to news reporting originatingfrom Tamkang University by NewsR x correspondents, research stated, “The more path conflicts betweenmultiple rob ots, the more time it takes to avoid each other, and the more navigation time it takes forthe robots to complete all tasks. This study designs a multi-robot na vigation system based on deepreinforcement learning to provide an innovative an d effective method for global path planning of multirobotnavigation.”

Tamkang UniversityAlgorithmsEmerging TechnologiesMachine LearningNano-robotReinforcement LearningRobotRobo tics

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Sep.5)