As mobile robots are increasingly introduced into our daily lives, it grows ever more
imperative that these robots navigate with and among people in a safe and socially …

Research in the field of social robotics is allowing service robots to operate in environments
with people. In the aim of realizing the vision of humans and robots coexisting in the same …

Autonomous ultrasound (US) acquisition is an important yet challenging task, as it involves
interpretation of the highly complex and variable images and their spatial relationships. In …

Robot navigation in crowded environments has recently benefited from advances in deep
reinforcement learning (DRL) approaches. However, it still presents a challenge to …

Ultrasound (US) imaging is commonly used to assist in the diagnosis and interventions of
spine diseases, while the standardized US acquisitions performed by manually operating …

Mobile robot autonomous navigation in large-scale environments with crowded dynamic
objects and static obstacles is still an essential yet challenging task. Recent works have …

In the human–robot integration environment, it is essential for mobile robots to pass through
the crowd and complete the navigation task smoothly. However, the current mainstream …

Deep reinforcement learning (DRL) frameworks have shown their remarkable effectiveness
in learning navigation policy for the mobile robot navigating in a human crowded …

In recent years, mobile robot navigation approaches have become increasingly important
due to various application areas ranging from healthcare to warehouse logistics. In …

This paper is motivated by robotic systems that solve difficult real-world problems such as
search and rescue (SAR) or precision agriculture 1. These applications require robots to …