Harish Parthasarathy
Papers
11
Total Citations
106
H-Index
6
About
Harish Parthasarathy is a leading researcher in robotics and control theory, with a focus on stochastic systems and advanced estimation techniques. His work centers on developing robust state observers and controllers for robotic manipulators, particularly in the presence of random noise and disturbances. Parthasarathy’s major contributions include the use of extended Kalman filters (EKF) and unscented Kalman filters (UKF) for tremor estimation and removal in robot-assisted surgery, as well as for teleoperation tracking under noisy conditions. His 2016 paper on disturbance estimators for robotic manipulators has garnered 34 citations, while his 2019 work on tremor estimation using Lie groups and EKF has been cited 17 times. Notably, Parthasarathy has also explored quantum robots perturbed by Lévy processes, blending stochastic analysis with quantum mechanics. His research has practical implications for improving the precision and stability of robotic systems in medical and industrial applications. With over 100 total citations, Parthasarathy’s innovative approaches to nonlinear dynamics and stochastic noise elimination continue to influence the field of robotics and control engineering.
Research Focus
Key Achievements
Top Papers
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- 9Navigation using a spherical camera4 citations · 2008
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