Anatomic Endoscopic Enucleation of the Prostate (AEEP) is a highly effective treatment for benign prostatic hyperplasia but remains challenging to master, requiring extensive practice and direct supervision by expert surgeons. This dependence limits opportunities for independent learning and slows trainee progression. To address this, we developed a hydrogel-based simulation model that replicates male pelvic anatomy, including the prostate and bladder. The model incorporates real-time force feedback using force sensors connected to a Raspberry Pi and Arduino. Trainees receive live visual cues, green (safe), yellow (near-threshold), and red (excessive), to guide safe and effective instrument use. An IMU sensor attached to the endoscope handle enables a dynamic minimap that tracks the tool’s position within the model. After the procedure, a feedback dashboard provides performance analytics for self-guided improvement. Our system promotes independent learning and enables efficient use of expert surgeon time, ultimately enhancing technical skill acquisition and clinical decision-making through simulation-based education.

In this project, we further developed our robust leader-follower protocol which autonomously coordinates a group, or swarm, of devices. The system is designed to seamlessly adapt to devices dropping out of the swarm unexpectedly and to any new devices joining the network. We focused on two main tasks this year: formal verification of the protocol and developing a demonstration with mobile robots. The formal verification proved that our protocol satisfies both safety and adaptability requirements.

At Design Day, we will have an interactive simulation, which shows how our protocol can coordinate up to 50 robots. We will also present a video of our robot demonstration, which uses five TurboPi robots as devices which autonomously work to each perform a task within different quadrants of a large grid.

The JHH Pacemakers project aims to develop a training simulator for nurses to practice using external pacemakers. The solution includes a handheld electronic prototype mimicking a real pacemaker, featuring knobs, buttons, and sensor lights, connected wirelessly to an interactive website. The website offers modules with step-by-step simulations, real-time EKG monitoring, and a points-based scoring system to evaluate nurse proficiency. Key features include short quizzes, error feedback, and scenario-based training for conditions like tachycardia. The project addresses gaps in current training methods, which lack hands-on, interactive elements. The final prototype integrates hardware (Raspberry Pi, encoders, buttons) with software (React-based interface) to provide a realistic, user-friendly training tool. The goal is to enhance nurse confidence and competency in pacemaker management through immersive, practical learning.

Novel soft robotic rehabilitation device designed to assist in the range-of-motion therapy of the shoulder in newborns with brachial plexus palsy. This device emulates physical therapies focused on motor stimulation of the affected nerve branches derived to the shoulder. The soft robotic device is mounted on the neonate’s upper limb and torso using hypoallergenic, non-woven bands, focusing specifically on the external-internal rotation of the shoulder during its operation.