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Jingyi Hu

3 accepted papers

2026

TacFlex: Multi-Mode Tactile Imprints Simulation for Visuotactile Sensors with Coating Patterns

ICRA 2026poster

Visuotactile sensors can provide rich contact information for robots. However, how to build a high-fidelity visuotactile simulator that supports multi-mode tactile imprints and various sensor configurations remains a challenging problem. In this paper, we present TacFlex, a flexible simulator for vi…

Cited by 0SourceScholar
2022

Learning-based Six-axis Force/Torque Estimation Using GelStereo Fingertip Visuotactile Sensing

IROS 2022poster

Visuotactile sensors have recently attracted much attention in robot communities due to the benefit of high spatial resolution sensing. However, force/torque estimation by visuotactile sensors remains a challenging problem. In this paper, we propose a learning-based six-axis force/torque estimation…

Cited by 10SourceScholar
2020

Self-Attention Based Visual-Tactile Fusion Learning for Predicting Grasp Outcomes

RA-L 2020

Predicting whether a particular grasp will succeed is critical to performing stable grasping and manipulating tasks. Robots need to combine vision and touch as humans do to accomplish this prediction. The primary problem to be solved in this process is how to learn effective visual-tactile fusion fe

Cited by 67SourceScholar