首页|Harbin Institute of Technology Researcher Publishes New Studies and Findings in the Area of Robotics (Utilizing Reinforcement Learning to Drive Redundant Constr ained Cable-Driven Robots with Unknown Parameters)
Harbin Institute of Technology Researcher Publishes New Studies and Findings in the Area of Robotics (Utilizing Reinforcement Learning to Drive Redundant Constr ained Cable-Driven Robots with Unknown Parameters)
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 Daily News Daily News-Current study results on robotics have been published. According to news reporting from Harbin, People’s Republic of C hina, by NewsRx journalists, research stated, “Cable-driven parallel robots (CDP Rs) offer significant advantages, such as the lightweight design, large workspac e, and easy reconfiguration, making them essential for various spatial applicati ons and extreme environments. However, despite their benefits, CDPRs face challe nges, notably the uncertainty in terms of the post-reconstruction parameters, co mplicating cable coordination and impeding mechanism parameter identification.”
Harbin Institute of TechnologyHarbinPeople's Republic of ChinaAsiaEmerging TechnologiesMachine LearningNano- robotReinforcement LearningRobotics
NETL
NSTL
