Subhasish Mahapatra
Papers
2
Total Citations
27
H-Index
2
About
Subhasish Mahapatra is a rising researcher in autonomous systems and nonlinear control, with a focus on underwater and robotic manipulation. His work centers on robust and optimal control strategies for complex, safety-critical environments. His most cited paper, from 2023, introduces a robust state feedback optimal control law for an Autonomous Underwater Robotic Vehicle (AURV), using a polytopic approach to handle hydrodynamic parameter variations and a backstepping method to enhance 3D path following. This work has already garnered 19 citations, signaling its impact on the field of marine robotics. In 2024, Mahapatra advanced the state of the art in robotic manipulation by integrating an attention-based Gated Recurrent Unit (GRU) with an event-driven Nonlinear Model Predictive Controller (NMPC). This novel framework significantly improves tracking performance even under actuator failure, a critical challenge for real-world deployment. With these contributions, Mahapatra is establishing himself as a key innovator in bridging deep learning with robust control, offering practical solutions for autonomous vehicles and industrial robots operating under uncertainty.
Research Focus
Key Achievements
Top Papers
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