Astha Sharma

Papers

Total Citations

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About

Astha Sharma is a researcher whose work bridges computer vision and robotics, with a primary focus on object state recognition—a critical yet underexplored area of artificial intelligence. Her most-cited paper, "State Classification with CNN" (2018), has garnered 7 citations and addresses a key gap in object recognition research: while identifying objects is common, determining their state (e.g., open, closed, or tilted) is essential for practical applications. Sharma’s major contribution lies in demonstrating how convolutional neural networks can classify object states, enabling robots to make informed decisions, such as how to grasp an item based on its current condition. This work has implications for automation, manufacturing, and assistive technologies, where understanding an object’s state is as important as recognizing it. Though her citation count is modest, Sharma’s research is foundational, paving the way for more nuanced AI systems. Her achievements highlight a forward-thinking approach to integrating perception and action, making her a notable voice in the growing field of state-aware robotics.