首页|Investigators at Memorial University of Newfoundland Detail Findings in Robotics (Workspace-based Motion Planning for Quadrupedal Robots On Rough Terrain)
Investigators at Memorial University of Newfoundland Detail Findings in Robotics (Workspace-based Motion Planning for Quadrupedal Robots On Rough Terrain)
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 – Investigators discuss new findings in Robotics. According to news reporting out ofSt. John, Canada, by NewsRx editors, research stated, “Legged robots have demonstrated high potentialwhen dealing with rough terrain, for which an efficient motion planner becomes crucial. This articlepresents a novel approach for quadrupedal robot motion planning on rough terrain that is both conceptuallystraightforward and computationally efficient.”
St. JohnCanadaNorth and Central AmericaEmerging TechnologiesMachine LearningNano-robotRobotRoboticsMemorial University of Newfoundland