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Chaofan Zhang

4 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
2021

A Point-Line VIO System With Novel Feature Hybrids and With Novel Line Predicting-Matching

RA-L 2021

Weak texture and motion blur are always challenging problems for visual-inertial odometry (VIO) systems. To improve accuracy of VIO systems in the challenging scenes, we propose a point-line-based VIO system with novel feature hybrids and with novel predicting-matching for long line track. Point-lin

Cited by 28SourceScholar
2021

Highly Efficient Line Segment Tracking with an IMU-KLT Prediction and a Convex Geometric Distance Minimization

ICRA 2021poster

Line segment features become popular in SLAM community. Usually, line-based SLAM systems utilize local appearance descriptors for line segment tracking. However, traditional descriptor-based line segment tracking algorithms suffer from the problem that accuracy and speed cannot be possessed simultan…

Cited by 20SourceScholar