Shilpa Tanvashi

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About

Shilpa Tanvashi is a rising researcher at the intersection of robotics, computer vision, and agricultural automation. Her work focuses on integrating intelligent robotic systems into quality control and food processing applications, with a particular emphasis on deploying SCARA and articulated robots for precision tasks. Tanvashi’s major contributions include the development of a 3-DOF SCARA robot system for inspecting silk cocoons—a novel application that marries traditional textile manufacturing with modern automation for enhanced quality assurance. She has also designed a 4-DOF SCARA arm integrated with computer vision for automated tomato sorting, addressing critical inefficiencies in manual fruit grading and post-harvest handling. Her survey on collision-free path planning for industrial autonomous robots provides a comprehensive taxonomy of algorithms under dynamic constraints, serving as a foundational reference for researchers in mobile and humanoid robotics. Although early in her career, her work has already garnered citations and demonstrates a clear trajectory toward solving real-world industrial challenges. Tanvashi’s research is particularly notable for its practical orientation, bridging the gap between theoretical robotics and deployable solutions in agriculture and manufacturing.