In the past few years a new scenario for robot-based applications has emerged. Service and
mobile robots have opened new market niches. Also, new frameworks for shop-floor robot …

The aspect ratio of a target changes frequently during an unmanned aerial vehicle (UAV)
tracking task, which makes the aerial tracking very challenging. Traditional trackers struggle …

Deep learning has the potential to have same the impact on robot touch as it has had on
robot vision. Optical tactile sensors act as a bridge between the subjects by allowing …

Tactile servoing is an important technique because it enables robots to manipulate objects
with precision and accuracy while adapting to changes in their environments in real-time …

Various living creatures exhibit embodiment intelligence, which is reflected by a
collaborative interaction of the brain, body, and environment. The actual behavior of …

In this paper, a novel approach for recognition of walking activities and gait events with
wearable sensors is presented. This approach, called adaptive Bayesian inference system …

A key unsolved problem in tactile robotics is how to combine tactile perception and control to
interact robustly and intelligently with the surroundings. Here, we focus on a prototypical task …

Recognition of movement is a crucial process to assist humans in activities of daily living,
such as walking. In this work, a high-level method for the simultaneous recognition of …

The sense of touch can provide a robot with a wealth of information about the contact region
when interacting with an unknown environment. Nevertheless, utilizing touch information to …

Robots have taken the place of human operators in hazardous and challenging jobs
requiring high dexterity in manipulation, and robots with skin for force and tactile sensing …