Rajeshwari Hegde

Papers

Total Citations

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About

Rajeshwari Hegde is a forward-thinking researcher at the intersection of embedded systems, industrial automation, and artificial intelligence. Her work primarily focuses on advancing safety and efficiency in Industry 4.0 environments, with a particular emphasis on human-robot collaboration and intelligent machine vision. Hegde’s early contributions include a comparative analysis of development boards for embedded system functionalities, a foundational study that has garnered 4 citations for its practical guidance in selecting microcontroller platforms. More recently, she has tackled critical challenges in modern manufacturing, proposing novel safety protocols for mobile robots in collaborative industrial settings—work that has already attracted 4 citations for its timely relevance. Her most innovative contribution involves the application of AI-based neuromorphic vision to control robotic drilling machines, a paradigm-shifting approach that addresses the limitations of traditional vision sensors in unstructured environments. This research, with 3 citations, demonstrates her ability to bridge cutting-edge AI with practical industrial applications. Hegde’s work is notable for its forward-looking perspective, directly addressing the safety and perceptual challenges that will define the factories of tomorrow.