首页|New Androids Findings from Department of Mechanical Engineering Outlined (Path P lanning of Humanoid Robots On Complex Terrains Using an Efficient Regression-bas ed Chaotic Harris Hawks Optimization Approach)
New Androids Findings from Department of Mechanical Engineering Outlined (Path P lanning of Humanoid Robots On Complex Terrains Using an Efficient Regression-bas ed Chaotic Harris Hawks Optimization Approach)
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 – Data detailed on Robotics - Androids h ave been presented. According to news reportingoriginating in Rourkela, India, by NewsRx journalists, research stated, “PurposeOptimal navigation andtrajector y planning are in high demand because of the rise in automated systems. This stu dy aims tofocus on implementing an intelligent regression-based chaotic Harris Hawk optimization (LR-CHHO) toachieve a globally optimal path free from collisi ons.”
RourkelaIndiaAsiaAndroidsEmergin g TechnologiesMachine LearningNano-robotRoboticsDepartment of Mechanical Engineering
NETL
NSTL
