Photo: Dr. Andrei Cramariuc
Our project "Autonomous robot navigation in the wild using satellite-based 3D geographical information" (ROBOSAT) aims to provide a scalable MultiGIS high-quality data collection platform through the use of a quadrupedal robot that can autonomously perform long-distance missions in challenging environments, such as Alpes mountains or Finnish forests.
Consortium organizations are comprised of three-universities and one SME:
•Tampere University, Finland. Expertise: GNSS, wireless positioning, sensing, and communications, RF Fingerprinting and interference mitigation. Coordinator: Prof. Elena Simona Lohan
•ETH, Switzerland. Expertise: automation, mapping, control theory, and legged-robot research. PI: Prof. Marco Hutter
•Universitat de Valencia, Spain. Expertise: computer science, database management, machine learning. PI: Dr. Joaquin Torres Sospedra
•CITST, Romania. Expertise: machine learning/artificial intelligence, robotics, exploitation. PI: Dr. Irina Mocanu.
Goal
•To develop a quadrupedal robot and a sensor payload for scalable autonomous data collection in the wild.
•To provide increased accuracy and robustness of GNSS algorithms using MultiGIS data fusion
•To offer novel large-scale open-access MultiGIS data with automatic labelling
Funding source
ROBOSAT is a project funded by European Union under CHIST-ERA ERA-NET program from the 2023 call on Multidimensional Geographic Information Systems (MultiGIS) as well as by the national research funding organizations of the participating countries: Finland, Romania, Spain and Switzerland.
Coordinating organisation
Tampere University