Inertial Measurement Units (IMUs) are becoming more and more popular in human motion
tracking applications. Among the other advantages, wearability, portability, limited costs, and …

Robotics has shown significant potential in assisting people with disabilities to enhance their
independence and involvement in daily activities. Indeed, a societal long-term impact is …

In this paper we tackle motion planning in industrial human-robot cooperative scenarios
modeled as a reinforcement learning problem solved in a simulated environment. The agent …

In recent years, there has been a growing interest in Human-Robot Collaboration (HRC).
One of the main challenges in developing effective tools for HRC is accurately estimating …

With an increase in age comes an increase in the risk of frailty and mobility decline, which
can lead to dangerous falls and can even be a cause of mortality. Despite these serious …

The analysis of human motion is a multifaceted topic with crucial applications in several
fields. Medicine, rehabilitation, biomechanics, but also robotics, logistics, and, lately, an …

This thesis investigates the application of Deep Reinforcement Learning to develop
humanaware task and motion planners. Human-robot applications introduce a set of …