Harish Agarwal

Papers

Total Citations

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About

Harish Agarwal’s research lies at the intersection of reliability-based design optimization and robotics, where he has pioneered methods to ensure robotic systems perform reliably under real-world uncertainty. His most influential work, a 2006 study on optimizing robotic system dynamic performance, has garnered 28 citations and introduced a rigorous framework that leverages dynamic capability equations (DCE). This approach enables designers to predict a robot’s dynamic behavior for specific configurations and end-effector reference points, then optimize that performance while accounting for variability in materials, manufacturing, and operating conditions. By integrating reliability constraints directly into the optimization process, Agarwal’s contributions help engineers create robots that are not only fast and precise but also robust and safe. His work is particularly valuable in fields like manufacturing automation and surgical robotics, where failure is not an option. With a total of 38 citations across his most-cited papers, Agarwal has established a focused and impactful niche, demonstrating that high performance and high reliability can—and must—be designed together.