首页|New Findings from Shanghai Jiao Tong University Describe Advances in Robotics (O nline Task Allocation and Scheduling In Multi-manipulator System Considering Col lision Constraints and Unknown Tasks)
New Findings from Shanghai Jiao Tong University Describe Advances in Robotics (O nline Task Allocation and Scheduling In Multi-manipulator System Considering Col lision Constraints and Unknown Tasks)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
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 reportingoriginating in Shanghai, People’s R epublic of China, by NewsRx journalists, research stated, “Comparedto a single robot, multi -robot systems (MRS) offer several advantages in complex multi -tas k scenarios.The overall efficiency of MRS relies heavily on an efficient task a llocation and scheduling process.”
ShanghaiPeople’s Republic of ChinaAs iaEmerging TechnologiesMachine LearningRobotRoboticsShanghai Jiao Tong University
NETL
NSTL
