M Aruna Devi
Papers
2
Total Citations
13
H-Index
2
About
Dr. M Aruna Devi is a robotics researcher whose work centers on intelligent trajectory planning and inverse kinematics for industrial manipulators. Her primary contributions lie in developing smooth, jerk-minimized motion paths for robots like the PUMA560 and SCARA, integrating artificial neural networks and machine learning to solve the nonlinear challenges inherent in robotic control. Her most cited paper, "Minimum Jerk Trajectory Planning of PUMA560 with Intelligent Computation using ANN" (2021, 10 citations), demonstrates how ANN-based approaches can optimize assembly and pick-and-place operations, directly addressing industry automation needs. In a related study on SCARA robots (2021, 3 citations), she advanced this work by combining Cubic-B spline methods with machine learning algorithms for inverse kinematics, even incorporating static obstacle avoidance—a practical step toward safer, more adaptive manufacturing systems. Dr. Devi’s research bridges classical robotics theory with modern computational intelligence, offering tangible improvements in precision and efficiency. Her focus on jerk minimization and intelligent computation positions her work as a valuable resource for students and engineers seeking to enhance robot performance in dynamic industrial environments.
Research Focus
Key Achievements
Top Papers
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