Laura Salamina
Papers
9
Total Citations
62
H-Index
4
About
Laura Salamina is a roboticist pushing the boundaries of both terrestrial and extraterrestrial machine intelligence. Her research spans three pivotal domains: bio-inspired navigation, soft robotics for space, and human-robot collaboration. She is best known for pioneering the use of Artificial Potential Fields with Local Attractors for mobile robot navigation, a method that dramatically improves obstacle avoidance efficiency—a contribution that has earned her most-cited paper 19 citations. Salamina has also made significant strides in aerospace, designing a deployable, inflatable robotic arm concept (15 citations) and a 7-DOF version for active space debris removal, offering lightweight, compact solutions for orbital operations. Her innovative work extends to planetary exploration with a spherical rover driven by a pendulum and control moment gyroscope, and to industry 4.0 through the development of digital twins for mobile manipulators. Most recently, she has explored intuitive human-machine interaction by integrating gaze tracking for collaborative robot control. With a portfolio of highly cited works and a clear trajectory from fundamental algorithms to applied space systems, Salamina is a rising figure in modern robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2A deployable and inflatable robotic arm concept for aerospace applications15 citations · 2021
- 3
- 4An Inflatable 7-DOF Space Robotic Arm for Active Debris Removal4 citations · 2023
- 5
- 6
- 7Collaborative Robot Control Based on Human Gaze Tracking3 citations · 2025
- 8An Inflatable Robotic Assistant for Onboard Applications3 citations · 2021
- 9