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About

Shiva Shahrokhi is a robotics researcher specializing in swarm control, microrobotics, and multi-agent systems, with a particular focus on the fundamental challenge of controlling large populations of tiny robots using only global, shared inputs. Her work addresses a critical paradox in microrobotics: the same properties that make micro- and nanorobots so promising for targeted drug delivery, microsurgery, and precision assembly — their small size and large numbers — make individual control effectively impossible. Shahrokhi has made significant contributions by developing algorithms and control frameworks that exploit environmental interactions, such as non-slip wall contacts, to achieve precise positioning and manipulation of particle swarms without requiring onboard computation or independent actuation. Her most cited work, "Steering a Swarm of Particles Using Global Inputs and Swarm Statistics" (2017, 39 citations), demonstrated how statistical properties of a swarm can be leveraged for effective motion control. Across her publication record, accumulating over 125 citations, she has progressively advanced the field from stochastic swarm control to torque maximization and planar orientation tasks. Her research provides foundational tools for future biomedical micro-robotic systems operating in otherwise inaccessible environments.