Papers

5

Total Citations

42

H-Index

4

About

Dr. Mercedes Alonso is a leading researcher in autonomous robotics, specializing in control architectures for multi-robot teams operating in extreme environments. Her work centers on developing intelligent, resilient systems for space exploration, with a particular focus on legged and climbing robots. Her most significant contribution is the creation of a novel behavior-based control architecture for legged-and-climber robots, which enables self-reconfiguration after leg failures—a critical capability for planetary missions. This work has garnered 14 citations, underscoring its impact on the field. Dr. Alonso also spearheaded the ERGO framework (European Robotic Goal-Oriented Autonomous Controller), a key project under the PERASPERA SRC initiative, designed to enhance autonomy in future space missions like ExoMars. Her research extends to multi-robot cooperation for lunar infrastructure, as demonstrated in her work with the six-legged walking system Mantis, which explores autonomous team tasks for In-Situ Resource Utilization (ISRU) facility construction. With a career spanning over two decades, Dr. Alonso has also advanced software architectures using CORBA, enabling versatile and scalable robotic controllers. Her pioneering efforts are shaping the future of autonomous space robotics, making her a pivotal figure in the field.

Research Focus

Key Achievements

4
H-Index
5
Papers
42
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Behavior-Based Control Architecture for Legged-and-Climber Robots
14 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 37
🏛 Institutions: Centre for Automation and Robotics, GMV Innovating Solutions (Spain), Universidad Politécnica de Madrid

Top Papers

  1. 1
  2. 2
    The ERGO Framework and its Use in Planetary/Orbital Scenarios
    10 citations · 2018
  3. 3
  4. 4
  5. 5

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago