Mobile robots struggle to integrate seamlessly in crowded environments such as pedestrian
scenes, often disrupting human activity. One obstacle preventing their smooth integration is …

Navigation lies at the core of social robotics, enabling robots to navigate and interact
seamlessly in human environments. The primary focus of human-aware robot navigation is …

Recently, mobile robots have become important tools in various industries, especially in
logistics. Deep reinforcement learning emerged as an alternative planning method to …

As social robots are projected to become an integral part of human life in the coming
decades, their ability to adapt movement and trajectory when in proximity to people is …

The presented method implements a robot accompaniment in an adaptive side-by-side
formation of a single person or a group of people. The method enhances our previous robot …

Robots must develop the ability to socially navigate in uncontrolled urban environments to
be able to be included in our daily lives. This paper presents a new robot navigation …

The growing development of autonomous systems is driving the application of mobile robots
in crowded environments. These scenarios often require robots to satisfy multiple conflicting …

This work is dedicated to the study of how uncertainty estimation of the human motion
prediction can be embedded into constrained optimization techniques, such as Model …

Robot navigation is a fundamental problem in robotics and various approaches have been
developed to cope with this problem. Despite the great success of previous approaches …

Intelligent navigation among social crowds is an essential aspect of mobile robotics for
applications such as delivery, health care, or assistance. Deep Reinforcement Learning …