← Search

Feiyu Zhao

6 accepted papers

2026

Autonomous Exploration for Shape Reconstruction and Measurement Via Informative Contact-Guided Planning

ICRA 2026poster

Coordinate Measuring Machines (CMMs) are widely used for high-precision inspection of industrial parts, particularly in scenarios where visual systems are ineffective or cost-prohibitive. However, conventional CMMs rely on CAD model priors and user-defined probing paths, which limit their applicabil…

Cited by 0SourceScholar
2026

ETac: A Lightweight and Efficient Tactile Simulation Framework for Learning Dexterous Manipulation

ICRA 2026poster

Tactile sensors are increasingly integrated into dexterous robotic manipulators to enhance contact perception. However, learning manipulation policies that rely on tactile sensing remains challenging, primarily due to the trade-off between fidelity and computational cost of soft-body simulations. To…

2026

NLiPsCalib: An Efficient Calibration Framework for High-Fidelity 3D Reconstruction of Curved Visuotactile Sensors

ICRA 2026poster

Recent advances in visuotactile sensors increasingly employ biomimetic curved surfaces to enhance sensorimotor capabilities. Although such curved visuotactile sensors enable more conformal object contact, their perceptual quality is often degraded by non-uniform illumination, which reduces reconstru…

2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration

ICRA 2024

Large, high-capacity models trained on diverse datasets have shown remarkable successes on efficiently tackling downstream applications. In domains from NLP to Computer Vision, this has led to a consolidation of pretrained models, with general pretrained backbones serving as a starting point for man

Cited by 910SourcecodeScholar
2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0

ICRA 2024poster

Large, high-capacity models trained on diverse datasets have shown remarkable successes on efficiently tackling downstream applications. In domains from NLP to Computer Vision, this has led to a consolidation of pretrained models, with general pretrained backbones serving as a starting point for man…

Cited by 259SourcecodeScholar