Tactile information plays a critical role in human dexterity. It reveals useful contact
information that may not be inferred directly from vision. In fact, humans can even perform in …

Triboelectric nanogenerators and sensors can be applied as human–machine interfaces to
the next generation of intelligent and interactive products, where flexible tactile sensors …

Efficient simulation of tactile sensors can unlock new opportunities for learning tactile-based
manipulation policies in simulation and then transferring the learned policy to real systems …

Most current works in Sim2Real learning for robotic manipulation tasks leverage camera
vision that may be significantly occluded by robot hands during the manipulation. Tactile …

The human hand and its dexterity in grasping and manipulating objects are some of the
hallmarks of the human species. For years, anatomic and biomechanical studies have …

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 …

Adaptive grippers should be able to detect and recognize grasping objects. To be able to do
it control algorithm need to be established to control gripper tasks. Since the gripper …

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 …

Adaptive grippers should be able to detect and recognize grasping objects. To be able to do
it control algorithm need to be established to control gripper tasks. Compliant underactuated …

Eight types of polyurethane were synthesized using seven types of diisocyanate. It was
found that the elasto-optical constant depends on the concentration of diisocyanate groups …