Tactile sensing is a key sensor modality for robots interacting with their surroundings. These
sensors provide a rich and diverse set of data signals that contain detailed information …

A key challenge in intelligent robotics is creating robots that are capable of directly
interacting with the world around them to achieve their goals. The last decade has seen …

Detecting anomalous subsequences in time series data is an important task in areas
ranging from manufacturing processes over finance applications to health care monitoring …

Multimodal time series (MTS) anomaly detection is crucial for maintaining the safety and
stability of working devices (eg, water treatment system and spacecraft), whose data are …

The detection of anomalous executions is valuable for reducing potential hazards in
assistive manipulation. Multimodal sensory signals can be helpful for detecting a wide range …

We propose two solutions to outlier detection in time series based on recurrent autoencoder
ensembles. The solutions exploit autoencoders built using sparsely-connected recurrent …

The application of robots in mechanical assembly increases the efficiency of industrial
production. With the requirements of flexible manufacturing, it has become a research …

Eating is an essential activity of daily living (ADL) for staying healthy and living at home
independently. Although numerous assistive devices have been introduced, many people …

Despite the rapid advancement of navigation algorithms, mobile robots often produce
anomalous behaviors that can lead to navigation failures. The ability to detect such …

Robotics and Artificial Intelligence (AI) have been inextricably intertwined since their
inception. Today, AI-Robotics systems have become an integral part of our daily lives, from …