Control in human robot interaction

Project: In this study, our aim was to understand the effects of haptic feedback on human-robot systems using the Happly 2D device. We explored how different haptic force feedbacks influence learning and performance in robot-assisted eye surgery simulations, and which method ensures optimal control and accuracy in human-robot interactions.

Solution: In our study, we hypothesized that decaying haptic feedback would improve human operators' learning. Using the Happly and a 3D eye simulator developed in Rust, combined with a Python-based haptic calculation tool, we tested five professional surgeons on an eye surgery simulation. Surprisingly, the decaying feedback didn't aid the surgeons. We suspect continuous adjustments to their internal system understanding might have affected outcomes. To the left, see the force field image we utilized, and below, access a presentation detailing our findings.