Mohammad Amin Mirzaee

2 accepted papers

2026

Grasp to Act: Dexterous Grasping for Tool Use in Dynamic Settings

Harsh Gupta, Mohammad Amin Mirzaee, Wenzhen Yuan

RA-L 2026

Achieving robust grasping with dexterous hands remains challenging, especially when manipulation involves dynamic forces such as impacts, torques, and continuous resistance-situations common in real-world tool use. Existing methods largely optimize grasps for static geometric stability and often fai

Cited by 1 Source ↗Scholar ↗

2025

GelBelt: A Vision-Based Tactile Sensor for Continuous Sensing of Large Surfaces

Mohammad Amin Mirzaee, Hung-Jui Huang, Wenzhen Yuan

RA-L 2025

Scanning large-scale surfaces is widely demanded in surface reconstruction applications and detecting defects in industries' quality control and maintenance stages. Traditional vision-based tactile sensors have shown promising performance in high-resolution shape reconstruction while suffering limit

Cited by 13 Source ↗Scholar ↗