Robot simulation has been an essential tool for data-driven manipulation tasks. However,
most existing simulation frameworks lack either efficient and accurate models of physical …

Recent progress in reinforcement learning (RL) and tactile sensing has significantly
advanced dexterous manipulation. However, these methods often utilize simplified tactile …

Tactile sensing plays an important role in robotic perception and manipulation tasks. To
overcome the real-world limitations of data collection, simulating tactile response in a virtual …

This letter aims to show that robots equipped with a vision-based tactile sensor can perform
dynamic manipulation tasks without prior knowledge of all the physical attributes of the …

The sense of touch is fundamental for a one-to-one mapping between the environment and
a robot that physically interacts with the environment. Herein, we describe a tactile fingertip …

In autonomous robot tasks involving physical contacts with the environment, it is still
challenging to perform dexterous manipulation. Force control approaches and force sensors …

The past decade has witnessed the development of tactile sensors, which have been
increasingly considered as an essential equipment in robotics, especially the dexterous …

Slip detection based on tactile sensing plays a crucial role for a robot to achieving stable
grasps by promptly adjusting its grasping state. Detecting the occurrence of slippage has …

Tactile sensing plays an important role in robotic perception and manipulation. To overcome
the real-world limitations of data collection, simulating tactile response in virtual environment …

Tactile sensors are believed to be essential in robotic manipulation, and prior works often
rely on experts to reason the sensor feedback and design a controller. With the recent …