Binding touch to everything: Learning unified multimodal tactile representations

F Yang, C Feng, Z Chen, H Park… - Proceedings of the …, 2024 - openaccess.thecvf.com
The ability to associate touch with other modalities has huge implications for humans and
computational systems. However multimodal learning with touch remains challenging due to …

When Vision Meets Touch: A Contemporary Review for Visuotactile Sensors from the Signal Processing Perspective

S Li, Z Wang, C Wu, X Li, S Luo, B Fang, F Sun… - arXiv preprint arXiv …, 2024 - arxiv.org
Tactile sensors, which provide information about the physical properties of objects, are an
essential component of robotic systems. The visuotactile sensing technology with the merits …

Augmenting tactile simulators with real-like and zero-shot capabilities

O Azulay, A Mizrahi, N Curtis… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Simulating tactile perception could potentially leverage the learning capabilities of robotic
systems in manipulation tasks. However, the reality gap of simulators for high-resolution …

FOTS: A Fast Optical Tactile Simulator for Sim2Real Learning of Tactile-motor Robot Manipulation Skills

Y Zhao, K Qian, B Duan, S Luo - IEEE Robotics and …, 2024 - ieeexplore.ieee.org
Simulation is a widely used tool in robotics to reduce hardware consumption and gather
large-scale data. Despite previous efforts to simulate optical tactile sensors, there remain …

HumanFT: A Human-like Fingertip Multimodal Visuo-Tactile Sensor

Y Wu, Y Chen, Z Zhu, X Qin, C Xiao - arXiv preprint arXiv:2410.10353, 2024 - arxiv.org
Tactile sensors play a crucial role in enabling robots to interact effectively and safely with
objects in everyday tasks. In particular, visuotactile sensors have seen increasing usage in …

Learning Stable Robot Grasping with Transformer-based Tactile Control Policies

EY Puang, Z Li, CM Chew, S Luo, Y Wu - arXiv preprint arXiv:2407.21172, 2024 - arxiv.org
Measuring grasp stability is an important skill for dexterous robot manipulation tasks, which
can be inferred from haptic information with a tactile sensor. Control policies have to detect …

Learning of Efficient Stable Robot Grasping Approach Using Transformer-Based Control Policy

EY Puang, S Luo, Y Wu - 2024 IEEE 19th Conference on …, 2024 - ieeexplore.ieee.org
Measuring grasp stability is an important skill for dexterous robot manipulation task, which
can be inferred from haptic information with a tactile sensor. Control policies have to detect …

[PDF][PDF] Toward synthetic data generation for robotic tactile manipulations

G Duret, F Zara, J Peters, L Chen - Workshop on" Robot …, 2024 - shanluo.github.io
Data collection for tactile-based robotic manipulation plays a crucial role in improving
existing models and enabling general models to perform effectively across various …

[PDF][PDF] Simulation of Curved GelSight Sensors for Sim2Real Learning

D Gomes, P Paoletti, S Luo - shanluo.github.io
Over the past years, several geometries have been proposed for the GelSight high-
resolution tactile sensors. However, existing simulation methods are limited to flat-surface …