Proximity and Visuotactile Point Cloud Fusion for Contact Patches in Extreme Deformation
Jessica Yin, Paarth Shah, Naveen Kuppuswamy, Andrew Beaulieu, Avinash Uttamchandani, Alejandro Castro, James Pikul, Russ Tedrake
TL;DR
This work tackles the challenge of estimating contact patches under extreme membrane deformation by fusing proximity and visuotactile point clouds in a mechanics-independent fashion. By intersecting the proximity-derived and tactile-derived patches, the method robustly identifies contact regions without relying on complex membrane models, enabling real-time feedback for control and pose estimation. Across low to high strain states and diverse objects, the approach consistently achieves RMSEs well below a few millimeters, outperforming tactile-only, proximity-only, and first-principles mechanics baselines. The demonstrated demonstrations—variable stiffness membranes, wrinkling, closed-loop manipulation, and pose estimation—highlight practical impact for soft robotics where membrane mechanics are hard to model precisely.
Abstract
Visuotactile sensors are a popular tactile sensing strategy due to high-fidelity estimates of local object geometry. However, existing algorithms for processing raw sensor inputs to useful intermediate signals such as contact patches struggle in high-deformation regimes. This is due to physical constraints imposed by sensor hardware and small-deformation assumptions used by mechanics-based models. In this work, we propose a fusion algorithm for proximity and visuotactile point clouds for contact patch segmentation, entirely independent from membrane mechanics. This algorithm exploits the synchronous, high spatial resolution proximity and visuotactile modalities enabled by an extremely deformable, selectively transmissive soft membrane, which uses visible light for visuotactile sensing and infrared light for proximity depth. We evaluate our contact patch algorithm in low (10%), medium (60%), and high (100%+) strain states. We compare our method against three baselines: proximity-only, tactile-only, and a first principles mechanics model. Our approach outperforms all baselines with an average RMSE under 2.8 mm of the contact patch geometry across all strain ranges. We demonstrate our contact patch algorithm in four applications: varied stiffness membranes, torque and shear-induced wrinkling, closed loop control, and pose estimation.
