Andrew Beaulieu — accepted AI-conference papers

2026

A Systematic Study of Data Modalities and Strategies for Co-training Large Behavior Models for Robot Manipulation

Fanqi Lin, Kushal Arora, Jean Mercat, Haruki Nishimura, Paarth Shah, Chen Xu +6

RSS 2026poster

Large behavior models (LBMs) have shown strong dexterous manipulation capabilities by extending imitation learning to large-scale training on extensive multi-task robot data, yet their generalization remains limited by the insufficient coverage of available robot data. To expand this coverage withou…

Cited by 0 Source ↗Scholar ↗

2025

Proximity and Visuotactile Point Cloud Fusion for Contact Patches in Extreme Deformation

Jessica Yin, Paarth Shah, Naveen Kuppuswamy, Andrew Beaulieu, Avinash Uttamchandani, Alejandro M. Castro +2

ICRA 2025

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 cons

Cited by 3 Source ↗Scholar ↗