Aditi Saxena
Papers
8
Total Citations
41
H-Index
4
About
Aditi Saxena is a control systems and robotics researcher whose work centers on intelligent controller design for robotic manipulator systems, nonlinear control strategies, and industrial automation. Her most significant contribution lies in advancing beyond conventional PID control frameworks, developing robust hybrid and nonlinear controllers — including NPID and NPIC architectures — capable of handling the complex, multi-input multi-output dynamics inherent in rigid robotic manipulators. Her 2020 paper on intelligent control for two-link robotic manipulators stands as her most impactful work, accumulating 13 citations and establishing a foundation for her subsequent research trajectory. Saxena has further distinguished herself by applying evolutionary optimization techniques, notably genetic algorithms, to minimize controller error using Integral Absolute Error criteria, demonstrating a rigorous, performance-driven approach to controller tuning. Her research extends into practical industrial applications, including robotic welding and 3D printer manipulator systems, bridging theoretical control design with real-world automation challenges. With over 40 cumulative citations across her published work, she has made a meaningful contribution to the field of intelligent robotics control, offering valuable insights for engineers and researchers tackling nonlinear system control in increasingly sophisticated automated environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Dynamics and Control Structure for NPID Controller6 citations · 2021
- 3Controlling of Manipulator for Performing Advance Metal Welding6 citations · 2022
- 4
- 5Optimization of NPIC Controller using Genetic Algorithm4 citations · 2021
- 6Advancement of Industrial Automation in Integration with Robotics4 citations · 2021
- 7
- 8