Samta Shastri

Indira Gandhi Delhi Technical University for Women, Yale University

Papers

Total Citations

H-Index

About

Samta Shastri’s research lies at the intersection of robotics, artificial intelligence, and biologically inspired locomotion. Her most cited work, “Inverse Kinematics for A 3-R Robot Using Artificial Neural Network and Modified Particle Swarm Optimization” (2019, 16 citations), introduces a novel hybrid approach that combines neural networks with swarm intelligence to solve complex inverse kinematics problems, offering a more efficient and accurate method for robotic arm control. Earlier, she contributed to the field of legged robotics with “A biologically consistent model of legged locomotion gaits” (1997, 8 citations), which proposed a framework for generating natural, stable gaits inspired by animal movement—a foundational piece for understanding dynamic walking robots. More recently, she explored wireless power transfer for robotic systems, as seen in her 2020 paper on the SCORBOT ER-4U arm (3 citations), addressing practical challenges in autonomous operation. With a career spanning over two decades, Shastri’s work bridges theoretical modeling and applied robotics, demonstrating lasting relevance in optimization and bio-inspired design. Her contributions continue to inspire researchers seeking efficient, nature-driven solutions in robotic control and energy systems.