3D PD-Controlled Nanorobot Swarm Simulation for Targeted Cancer and BBB Therapy

This dataset provides a computational simulation of 3D nanorobot swarms for targeted cancer therapy and blood–brain barrier (BBB) drug delivery. Two swarms are modeled using proportional–derivative (PD) control and linear algebra–based state representation, coordinating multiple nanorobots in 3D space.Simulations track robot trajectories, final positions, and mean path lengths over time. Cancer-targeting nanorobots converge rapidly, while BBB-targeting nanorobots follow more complex paths due to navigation constraints.Implemented in Python (NumPy, Matplotlib, 3D visualization), the framework is fully annotated and reproducible. This resource is intended for researchers in medical robotics, swarm robotics, and precision drug delivery, providing both quantitative metrics and visualizations of swarm behavior.No human or animal subjects were used; no ethical approval was required.