Malathi Veeraraghavan
Papers
5
Total Citations
81
H-Index
5
About
Malathi Veeraraghavan is a researcher whose work sits at the compelling intersection of industrial robotics, cloud computing, and high-speed networking. She is best known for her development of the Gilbreth robotics system — an innovative industrial application enabling autonomous pick-and-sort operations on moving conveyor belts using 3D Kinect sensing and ROS-based software frameworks. First introduced in 2018 and garnering 33 citations, Gilbreth has evolved through multiple iterations, with Gilbreth 2.0 incorporating significant advances in object recognition and motion planning, demonstrating her commitment to iterative, application-driven research. Beyond robotics, Veeraraghavan has made notable contributions to cloud robotics infrastructure, exploring how industrial robots can leverage wide-area high-speed networks and distributed cloud resources to perform complex tasks such as surface blending — work that earned 19 citations and highlighted the practical viability of networked robotic systems. Her research further extends into intelligent cloud-network resource coordination, addressing how mega-scale data centers can dynamically respond to application demands in an IoT-driven world. Collectively, her publications reflect a sustained effort to bridge physical robotics systems with scalable digital infrastructure, making her a valuable voice for students and researchers working at the frontier of smart manufacturing and cloud-connected automation.
Research Focus
Key Achievements
Top Papers
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- 5Gilbreth 2.0: An Industrial Cloud Robotics Pick-and-Sort Application5 citations · 2019