Time series data is increasingly used in a wide range of fields, and it is often relied on in
crucial applications and high-stakes decision-making. For instance, sensors generate time …

In robotics, tactile perception is important for fine control using robot grippers and hands. To
effectively incorporate tactile perception in robots, it is essential to understand how humans …

We propose a framework for the measurement of static and dynamic physical properties of
manipulation objects using both robotic tactile and kinesthetic sensing-in particular data …

In minimally invasive surgery (MIS), the reliable detection of hard inclusions in soft tissue is
crucial for the success of the intervention. In robot-assisted surgery (RAS) however, limited …

This letter presents a low-cost soft fingertip sensor for recognition of texture roughness. This
sensor is designed with a soft rounded shape made of silicone rubber. An array of flexible …

Due to its achievements in recent years, machine learning (ML) is now used in a wide
variety of domains. Educating ML has hence become an important factor in academia and …

For the manufacturing of miniature force/torque sensors, extreme accuracy is required due to
the tiny size of the strain gauges inside the sensors (2× 2.5 mm). The current method of …

The ability to identify granular materials facilitates the emergence of various new
applications in robotics, ranging from cooking at home to truck loading at mining sites …

This paper introduces a framework to predict multi-dimensional haptic attribute values that
humans use to recognize the material by using the physical tactile signals (acceleration) …

The automatic execution of contact-rich assembly tasks such as peg-in-hole insertion still
remains a challenge in industrial manufacturing automation. Deep reinforcement learning …