Perspective Chapter: Advanced Environment Modelling Techniques for Mobile Manipulators
- Autores: Noelia Fernandez, Gonzalo Espinoza, Alberto Mendez, Adrián Prados, Alicia Mora Velasco, Ramón Barbér
- Localización: Current State and Future Perspective in Human-Robot Interaction / coord. por Constantin Voloşencu, 2025, ISBN 978-0-85466-407-8
- Idioma: inglés
- Enlaces
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Resumen
In recent years, the capabilities of mobile robots to interact with humans and their environment have been enhanced by emerging technological advances. The improvement in the quantity and quality of information from robot sensors, along with increased computational capacities, has enabled the development of new algorithms to model the human environment in which the robot moves and interacts. This chapter will describe modelling techniques for scenes and objects that compose the environment, with the aim of generating an internal representation of the robot’s surroundings so it can navigate and perform manipulation tasks in shared environments with humans. Recent advances in environment modelling driven by deep learning and machine learning techniques, using sensor information, will be presented. Additionally, new trends in the generation of simulated environments, their elements, and synthetic databases will be studied. These trends aim to leverage advances in artificial intelligence to expand the quantity and variety of available data, facilitating the process of learning and understanding the environment.
