Aniruddha Datta
Papers
2
Total Citations
9
H-Index
2
About
Aniruddha Datta is a control systems researcher whose work focuses on improving the transient and steady-state performance of adaptive control schemes for rigid robotic manipulators. His key research areas include model reference adaptive control (MRAC), computed torque control, and nonlinear system dynamics. Datta’s major contributions involve developing modified control architectures that enhance trajectory tracking accuracy and robustness. In his most cited work, "A modified model reference adaptive control scheme for rigid robots" (1996, 5 citations), he proposed augmenting the standard MRAC law with an auxiliary component derived from tracking error to improve zero-state performance. Earlier, in "Computed Torque Adaptive Control of Rigid Robots with Improved Transient Performance" (1993, 4 citations), he introduced a modified controller structure to reduce transient errors during manipulator motion. Though his citation counts are modest, Datta’s work addresses fundamental challenges in adaptive robotics—particularly the trade-off between stability and responsiveness—and his designs offer practical solutions for improving robot control in real-world applications. His research remains relevant for engineers working on high-precision robotic systems requiring reliable adaptive control.
Research Focus
Key Achievements
Top Papers
- 1A modified model reference adaptive control scheme for rigid robots5 citations · 1996
- 2