Anjali Parashar

Indian Institute of Technology Indore, Decision Systems (United States)

Papers

Total Citations

H-Index

About

Dr. Anjali Parashar is a robotics researcher whose work bridges fault-tolerant control and the safety validation of autonomous systems. Her most influential contribution, the 2020 study on actuator fault-tolerant control for underwater robots with four rotatable thrusters—cited 57 times—has provided a foundational framework for maintaining vehicle stability and maneuverability even when thrusters fail, a critical capability for deep-sea exploration and defense applications. More recently, Dr. Parashar has advanced the field of autonomous system testing by developing a learning-based Bayesian inference approach (2024) that enables efficient failure prediction in simulation, dramatically reducing the need for slow, costly hardware trials. This work addresses a pressing challenge in robotics: ensuring safe deployment by accurately understanding failure modes before real-world operation. By combining rigorous control theory with modern machine learning techniques, Dr. Parashar is helping to make underwater and autonomous systems both more resilient and more trustworthy. Her research is particularly valuable for students and engineers working on safety-critical robotics, where the cost of failure is high and the margin for error is slim.