Papers
48
Total Citations
671
H-Index
13
About
Elena Lazkano is a robotics researcher whose work spans autonomous navigation, mobile manipulation, human-robot interaction, and machine learning-based robot control. Based at the University of the Basque Country, she has built a distinguished career bridging foundational AI techniques and cutting-edge deep learning applications in robotics. Her most cited contribution, a 2021 survey on active mapping and robot exploration (155 citations), established her as a key voice in autonomous navigation and SLAM research. Complementing this, her work on deep reinforcement learning for pick-and-place logistics operations (81 citations) demonstrated practical pathways for deploying intelligent robots in industrial settings—a theme she has continued to develop through affordance-based grasping with graph convolutional networks and learned positioning policies for mobile manipulators. Lazkano's research trajectory is notably broad: her early work on Bayesian networks for robot behaviour (52 citations) and door-traversal using visual learning (2002) established her credentials in probabilistic robotics, while more recent projects explore mixed reality robot programming, NAO teleoperation in Basque, and social robots capable of expressive body language. This combination of technical depth and human-centred design makes her a distinctive figure in contemporary robotics research.
Research Focus
Key Achievements
Top Papers
- 1Active Mapping and Robot Exploration: A Survey155 citations · 2021
- 2
- 3On the use of Bayesian Networks to develop behaviours for mobile robots52 citations · 2006
- 4
- 5Learning to traverse doors using visual information34 citations · 2002
- 6Humanizing NAO robot teleoperation using ROS33 citations · 2014
- 7Expressing Robot Personality through Talking Body Language29 citations · 2021
- 8
- 9
- 10