In the last decades, robotic solutions have been introduced in agriculture to improve the
efficiency of tasks such as spraying, plowing, and seeding. However, for a more complex …

In the future, service robots are expected to be able to operate autonomously for long
periods of time without human intervention. Many work striving for this goal have been …

Preference-based reinforcement learning (PbRL) has shown significant promise for
personalization in human-robot interaction (HRI) by explicitly integrating human preferences …

Social learning is a learning paradigm aiming to make the process of teaching new skills to
an artificial intelligent agent (such as a robot) as close as possible to the process we employ …

The present study describes the development and evaluation of an adaptive question
selection system for a robot deployed in a museum that aims to test visitors' familiarity with …

Social robotics has already demonstrated benefits across several areas, including robot-
assisted education and healthcare. The use of plan-based approaches, which underpin the …

The integration of robots into everyday life is an increasingly common and mundane
phenomena. Understanding how people regard and interact with these robots is a rapidly …

This project proposes a framework for online adaptation of robot behaviours deployed
autonomously in social settings with the goal of increasing the overall users' engagement …

LCASTOR is the team from the Lincoln Centre for Autonomous Systems (LCAS) at the
University of Lincoln, United Kingdom. It comprises academics, researchers and …

LCASTOR is a new team of the Lincoln Centre for Au tonomous Systems (LCAS) at the
University of Lincoln, United Kingdom. It comprises academics, researchers and …