Pratiksha Andhare

Papers

Total Citations

H-Index

About

Pratiksha Andhare is a robotics researcher whose work bridges the gap between rigid industrial automation and adaptive, human-like manipulation. Her primary research areas include industrial robotics, computer vision, and intelligent control systems. Andhare’s most influential contribution is her 2016 paper, “Pick and place industrial robot controller with computer vision,” which has garnered 52 citations. In this work, she addresses a fundamental limitation of traditional industrial robots: their reliance on precoded, sensor-triggered cycles that lack flexibility. By integrating computer vision into the control loop, Andhare enables robots to dynamically formulate their movement paths for each cycle—much like a human hand adapts in real-time. This innovation significantly enhances the dexterity and responsiveness of pick-and-place operations, making automation more versatile in unstructured environments. Her research has practical implications for manufacturing, logistics, and assembly lines, where adaptability is increasingly critical. Andhare’s work stands out for its clear, application-driven approach, offering a tangible step toward more intelligent and autonomous robotic systems. For students and researchers exploring the intersection of vision and control, her contributions provide a foundational reference for advancing industrial robotics beyond static programming.