Interaction between a robot and its environment requires perception about the environment,
which helps the robot in making a clear decision about the object type and its location. After …

The object perception capabilities of humans are impressive, and this becomes even more
evident when trying to develop solutions with a similar proficiency in autonomous robots …

With the rapid development of machine learning, its powerful function in the machine vision
field is increasingly reflected. The combination of machine vision and robotics to achieve the …

Throughout history, we have successfully integrated various machines into our homes.
Dishwashers, laundry machines, stand mixers, and robot vacuums are a few recent …

Mobile manipulators for indoor human environments can serve as versatile devices that
perform a variety of tasks, yet adoption of this technology has been limited. Reducing size …

Optical tactile sensors have recently become popular. They provide high spatial resolution,
but struggle to offer fine temporal resolutions. To overcome this shortcoming, we study the …

Material recognition can help inform robots about how to properly interact with and
manipulate real-world objects. In this paper, we present a multimodal sensing technique …

Tactile sensors enabling human-like perception are crucial for modern intelligent robotics.
This study developed a biomimetic magnetostrictive tactile sensor consisting of Galfenol …

Robots operating in everyday environments need to effectively perceive, model, and infer
semantic properties of objects. Existing knowledge reasoning frameworks only model binary …

Typically, robotic dexterous hands are equipped with various sensors to acquire multimodal
tactile information, which is an important way for robots to perceive and interact with the …