Autonomous Reality Modelling for Cultural Heritage Sites employing cooperative quadrupedal robots and unmanned aerial vehicles
Nikolaos Giakoumidis, Christos-Nikolaos Anagnostopoulos
- Year
- 2024
- Access
- Open access
Abstract
Nowadays, the use of advanced sensors, such as terrestrial 3D laser scanners, mobile LiDARs and Unmanned Aerial Vehicles (UAV) photogrammetric imaging, has become the prevalent practice for 3D Reality Modeling and digitization of large-scale monuments of Cultural Heritage (CH). In practice, this process is heavily related to the expertise of the surveying team, handling the laborious planning and time-consuming execution of the 3D mapping process that is tailored to the specific requirements and constraints of each site. To minimize human intervention, this paper introduces a novel methodology for autonomous 3D Reality Modeling for CH monuments by employing au-tonomous biomimetic quadrupedal robotic agents and UAVs equipped with the appropriate sensors. These autonomous robotic agents carry out the 3D RM process in a systematic and repeatable ap-proach. The outcomes of this automated process may find applications in digital twin platforms, facilitating secure monitoring and management of cultural heritage sites and spaces, in both indoor and outdoor environments.
Keywords
Related papers
Trajectory tracking control for 6WID/4WIS UGV via nonlinear sliding mode-model predictive control with adaptive following steering and dynamic-static constraints
Shengyang Lu, Guanpeng Chen, Lijing Zhao +2 more
Robotics and Autonomous Systems · 2026
Bioinspired underwater robotics: Advances across the materials, design, control, and applications
Dilip Muchhala, Pramod Kumar Maurya, Adarsh Raut +3 more
Robotics and Autonomous Systems · 2026
Modeling and control of a rigid–soft hybrid-link humanoid robot
Zewen He, Taiki Ishigaki, Ko Yamamoto
Robotics and Autonomous Systems · 2026
Artificial pushing adaptive coordinated control for the human-exoskeleton-walker system
Xinhao Zhang, Chen Yang, Chaobin Zou +4 more
Robotics and Autonomous Systems · 2026