This multidisciplinary team is composed of experts coming from academia (University of the Basque Country, UPV/EHU) and Technological Center (IK4-Tekniker) specialized both in robotics and smart and autonomous system development that have been actively collaborating for many years.
The members of RSAIT (Robotika & Sistema Autonomoen Ikerketa Taldea) develop their work at the Faculty of Informatics, UPV/EHU. Their research is focused in mobile robotics, where statistical and machine learning techniques are applied to increase the degree of autonomy of their robots.
IK4-Tekniker has a focus on technology transfer to companies with experience in leading European projects in both industrial and service robotics. The research activities are focused on developing intelligent robotic applications able to interpret the environment through multimodal sensors, implementing strategies for navigation and manipulation and safe interaction with people.
Dr Alberto Tellaeche (M.Sc in Automation and Electronics Engineering, Ph.D. in Systems Engineering and Automation). He is researcher in at IK4-Tekniker and Assistant lecturer in the University of Deusto. Provides expertise in machine vision and pattern recognition techniques.
Dr Ander Ansuategui (M.Sc. and Ph.D. degrees in Computer Science from the University of the Basque Country in 2005 and 2011). He is researcher at IK4-Tekniker in autonomous and mobile robotics, artificial intelligence, robot vision and motion planning.
Dr Loreto Susperregi (M.Sc in Industrial Engineering, PhD in Computer Science). Coordinator of Robotics research at IK4-Tekniker with more than 15 years of experience. Her research activities are on sensor fusion using machine learning techniques for people detection in service robotics.
Prof. B. Sierra is with the Computer Sciences and Artificial Intelligence (CCIA) Department at the UPV/EHU. He is director of the Robotics and Autonomous Systems Group. Full Professor in Robotics and Machine Learning, and he is working on the use of different paradigms to improve behaviours.
E. Lazkano is an Assistant Professor in the CCIA Department at UPV/EHU. She is a researcher in Robotics, member of the Program Committee of Conferences and reviewer of leading Journals; she is working on the development of a behaviour-based distributed probabilistic control architecture.
Dr. E. Jauregi is a posdoc grant holder at the CCIA Department of UPV/EHU. His research interests include Robotics, Machine Learning, and Behaviour Based Architectures.
RSAII is an experienced team of 6 PhD researchers. The expertise of the team is complementary providing both theoretical background, in computer vision, 3D vision, machine learning and applied background in simulation, industrial manipulators and robot operating systems.
The team leader IK4-Tekniker has experience in EU projects in robotics relevant to EuRoC call: FP7 RoboFoot, FP7 EasyPRO ECHORD experiment, FP7 MAINBOT, FP7 X-ACT, FP7 ROBOPARTNER.
- L. Susperregi, B. Sierra, M. Castrillon, J. Lorenzo, J. M. Martinez-Otzeta, E. Lazkano, On the use of a low cost thermal sensor to improve the kinect people detection in a mobile robot, Sensors 12 (11) (2013) 14687-14713.
- A. Ibarguren, J. Molina, L. Susperregi, I. Maurtua, Thermal tracking in mobile robots for leak inspection activities, Sensors 13 (10) (2013) 13560-13574.
- L. Susperregi, A. Arruti, E. Jauregi, B. Sierra, J. M. Martinez-Otzeta, E. Lazkano, A.Ansuategui, Fusing multiple image transformations and a thermal sensor with Kinect to improve person detection ability, Engineering Applications of Artificial Intelligence 26 (8) (2013) 1980-1991.
- A. Tellaeche, R. Arana, I. Maurtua. Accurate correction of robot trajectories generated by teaching using 3d vision by laser triangulation. Intelligent Robotics and Applications (2012), 385-394