Jadesola Aderibigbe — accepted AI-conference papers

2025

Milli-Scale AcousTac Sensing Using Soft Helmholtz Resonators

Jadesola Aderibigbe, Monica S. Li, Jungpyo Lee, Hannah S. Stuart

ICRA 2025

Acoustic transmission, or sound, can effectively communicate information over distances through various media. We focus on generating acoustic transmission using pneumatically driven resonators for wireless tactile sensing without the need for any electronics at the end-effector or contact point. We

Cited by 0 Source ↗Scholar ↗

2023

Walk-Burrow-Tug: Legged Anchoring Analysis Using RFT-Based Granular Limit Surfaces

Tae Myung Huh, Cyndia Cao, Jadesola Aderibigbe, Deaho Moon, Hannah S. Stuart

RA-L 2023

We develop a new resistive force theory based granular limit surface (RFT-GLS) method to predict and guide behaviors of forceful ground robots. As a case study, we harness a small mobile robotic system – MiniRQuad (296 g) – to ‘walk-burrow-tug;’ it actively exploits ground anchoring by burrowing its

Cited by 6 Source ↗Scholar ↗