Study Results from Faculty of Engineering Broaden Understanding of Robotics (Kin ematic Analysis and Simulation of an Industrial Rail-Mounted Robot Manipulator U sing Ruckig for Enhanced Path Planning)
Study Results from Faculty of Engineering Broaden Understanding of Robotics (Kin ematic Analysis and Simulation of an Industrial Rail-Mounted Robot Manipulator U sing Ruckig for Enhanced Path Planning)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in robotics. According to news reporting originating from Assiut, Egypt, by NewsRx correspondents, research stated, “Robotic manipulators are being widely used in industrial operations and healthcare due to their versatile functionalities.” Our news reporters obtained a quote from the research from Faculty of Engineerin g: “However, the confined workspace of fixed robotic arms limits their applicabi lity in scenarios requiring a broader range of configurations. To overcome this limitation, this research provides a case study on a robotic system composed of two primary subsystems an articulated robotic arm and a linear rail. A simple pa th planning task was carried out using CoppeliaSim simulation software to study the effect of Ruckig, an advanced online trajectory generation algorithm, alongs ide the RRT-Connect path planning algorithm. this study demonstrates the capacit y of Ruckig to improve the efficiency of path planning regarding the processing time and path length. The results showed that Ruckig helped reducing the process time by 90% with an exceptional improvement to the motion profile s of the system. Regarding the path length, it seems that it was able to decreas e the length in certain cases, but not all.”
Key words
Faculty of Engineering/Assiut/Egypt/A frica/Emerging Technologies/Machine Learning/Robot/Robotics/Robots
NETL
NSTL