Sushma Parihar

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About

Sushma Parihar is a rising researcher at the intersection of robotics and artificial intelligence, with her work primarily centered on mobile robotics, path planning, and biomedical image analysis. Her most significant contribution lies in pioneering the application of AI and machine learning to elevate mobile robotics, where she has explored subsumption architecture to model adaptive robot behaviors that respond to environmental dynamics and sensor inaccuracies. In the domain of biomedical engineering, Parihar has advanced the field by developing a deep reinforcement learning framework for biomedical image classification, effectively merging deep learning’s representational power with reinforcement learning’s decision-making capabilities to improve diagnostic accuracy. Her work on implementing the A* algorithm for optimal path planning has further demonstrated her commitment to solving real-world automation challenges, from industrial applications to everyday life. With her most-cited paper already garnering 5 citations shortly after publication in 2024, Parihar’s research is gaining traction for its practical impact. Her notable achievement includes successfully integrating reactive controllers with intelligent systems, positioning her as a promising voice in the next generation of robotics and AI researchers.