
Manipulation & Machine Intelligence LabUndergrad Researcher
Sept. 2024 - Present Ann Arbor, MI- Designed hardware & software for visio-tactile data collection pipelines; used DIGIT sensors & Intel RealSense D435/D405 depth cameras.
- Created tooling for using NERF-based object models & FoundationPose to generate synthetic visual data for tactile signatures.
- Building a contrastive model to learn visio-tactile representations of rigid and deformable objects.